2024

• Range Entropy Queries and Partitioning. Sanjay Krishnan, Stavros Sintos ICDT 2024

2023

• Rotary: A Resource Arbitration Framework for Progressive Iterative Analytics. Rui Liu, Aaron J. Elmore, Michael J. Franklin, Sanjay Krishnan ICDE 2023
• Accelerating Similarity Search for Elastic Measures: A Study and New Generalization of Lower Bounding Distances. John Paparrizos, Kaize Wu, Aaron J. Elmore, Christos Faloutsos, Michael J. Franklin Proc. VLDB Endow. 2023
• How Large Language Models Will Disrupt Data Management. Raul Castro Fernandez, Aaron J. Elmore, Michael J. Franklin, Sanjay Krishnan, Chenhao Tan Proc. VLDB Endow. 2023
• Front Matter. Georgia Koutrika, Jun Yang, Manos Athanassoulis, Kostas Stefanidis, Ju Fan, Abdul Quamar, Yuanyan Tian, Alekh Jindal, Carsten Binnig, Jennie Rogers, Senjuti Basu Roy, Steven Euijong Whang, Matthias Boehm, Aaron J. Elmore, Vasilis Efthymiou, Xiao Hu, Xiaofang Zhou, Alan D. Fekete Proc. VLDB Endow. 2023
• Will LLMs reshape, supercharge, or kill data science? (Tutorial or Abstact) Alon Y. Halevy, Yejin Choi, Avrilia Floratou, Michael J. Franklin, Natasha F. Noy, Haixun Wang Proc. VLDB Endow. 2023
• Data Makes Better Data Scientists. Jinjin Zhao, Avigdor Gal, Sanjay Krishnan HILDA@SIGMOD 2023
• Toward a Life Cycle Assessment for the Carbon Footprint of Data. Gabriel Mersy, Sanjay Krishnan HotCarbon 2023
• JanusAQP: Efficient Partition Tree Maintenance for Dynamic Approximate Query Processing. Xi Liang, Stavros Sintos, Sanjay Krishnan ICDE 2023
• AMIR: Active Multimodal Interaction Recognition from Video and Network Traffic in Connected Environments. Shinan Liu, Tarun Mangla, Ted Shaowang, Jinjin Zhao, John Paparrizos, Sanjay Krishnan, Nick Feamster Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 2023
• Hierarchical Residual Encoding for Multiresolution Time Series Compression. Bruno Barbarioli, Gabriel Mersy, Stavros Sintos, Sanjay Krishnan Proc. ACM Manag. Data 2023
• Ver: View Discovery in the Wild. Yue Gong, Zhiru Zhu, Sainyam Galhotra, Raul Castro Fernandez ICDE 2023
• Metam: Goal-Oriented Data Discovery. Sainyam Galhotra, Yue Gong, Raul Castro Fernandez ICDE 2023
• Addressing Budget Allocation and Revenue Allocation in Data Market Environments Using an Adaptive Sampling Algorithm. Boxin Zhao, Boxiang Lyu, Raul Castro Fernandez, Mladen Kolar ICML 2023
• Data-Sharing Markets: Model, Protocol, and Algorithms to Incentivize the Formation of Data-Sharing Consortia. Raul Castro Fernandez Proc. ACM Manag. Data 2023
• Cackle: Analytical Workload Cost and Performance Stability With Elastic Pools. Matthew Perron, Raul Castro Fernandez, David J. DeWitt, Michael J. Cafarella, Samuel Madden Proc. ACM Manag. Data 2023
• Solo: Data Discovery Using Natural Language Questions Via A Self-Supervised Approach. Qiming Wang, Raul Castro Fernandez Proc. ACM Manag. Data 2023
• Saibot: A Differentially Private Data Search Platform. Zezhou Huang, Jiaxiang Liu, Daniel Alabi, Raul Castro Fernandez, Eugene Wu Proc. VLDB Endow. 2023
• Data and AI Model Markets: Opportunities for Data and Model Sharing, Discovery, and Integration. (Tutorial or Abstact) Jian Pei, Raul Castro Fernandez, Xiaohui Yu Proc. VLDB Endow. 2023

2022

• FuzzyData: A Scalable Workload Generator for Testing Dataframe Workflow Systems. Mohammed Suhail Rehman, Aaron J. Elmore DBTest@SIGMOD 2022
• Fast Adaptive Similarity Search through Variance-Aware Quantization. John Paparrizos, Ikraduya Edian, Chunwei Liu, Aaron J. Elmore, Michael J. Franklin ICDE 2022
• Summarizing Sets of Related ML-Driven Recommendations for Improving File Management in Cloud Storage. Will Brackenbury, Kyle Chard, Aaron J. Elmore, Blase Ur UIST 2022
• Volume Under the Surface: A New Accuracy Evaluation Measure for Time-Series Anomaly Detection. John Paparrizos, Paul Boniol, Themis Palpanas, Ruey Tsay, Aaron J. Elmore, Michael J. Franklin Proc. VLDB Endow. 2022
• Data Station: Delegated, Trustworthy, and Auditable Computation to Enable Data-Sharing Consortia with a Data Escrow. Siyuan Xia, Zhiru Zhu, Chris Zhu, Jinjin Zhao, Kyle Chard, Aaron J. Elmore, Ian T. Foster, Michael J. Franklin, Sanjay Krishnan, Raul Castro Fernandez Proc. VLDB Endow. 2022
• Theseus: Navigating the Labyrinth of Time-Series Anomaly Detection. (Demo) Paul Boniol, John Paparrizos, Yuhao Kang, Themis Palpanas, Ruey S. Tsay, Aaron J. Elmore, Michael J. Franklin Proc. VLDB Endow. 2022
• TSB-UAD: An End-to-End Benchmark Suite for Univariate Time-Series Anomaly Detection. John Paparrizos, Yuhao Kang, Paul Boniol, Ruey S. Tsay, Themis Palpanas, Michael J. Franklin Proc. VLDB Endow. 2022
• Sensor fusion on the edge: initial experiments in the EdgeServe system. Ted Shaowang, Xi Liang, Sanjay Krishnan BiDEDE@SIGMOD 2022
• Towards causal physical error discovery in video analytics systems. Ted Shaowang, Jinjin Zhao, Stavros Sintos, Sanjay Krishnan HILDA@SIGMOD 2022
• Leva: Boosting Machine Learning Performance with Relational Embedding Data Augmentation. Zixuan Zhao, Raul Castro Fernandez SIGMOD 2022
• Protecting Data Markets from Strategic Buyers. Raul Castro Fernandez SIGMOD 2022
• Enabling AI Innovation via Data and Model Sharing: An Overview of the Nsf Convergence Accelerator Track D. Chaitanya K. Baru, Michael Pozmantier, Ilkay Altintas, Stephen Baek, Jonathan Cohen, Laura E. Condon, Giulia Fanti, Raul Castro Fernandez, Ethan Jackson, Upmanu Lall, Bennett A. Landman, Hai Li, Claudia Marin, Beatriz Martínez-López, Dimitris N. Metaxas, Bradley D. Olsen, Grier P. Page, Yelda Turkan, Jingbo Zhang, Peng Zhang AI Mag. 2022
• Revisiting Online Data Markets in 2022: A Seller and Buyer Perspective. Javen Kennedy, Pranav Subramaniam, Sainyam Galhotra, Raul Castro Fernandez SIGMOD Rec. 2022

2021

• VergeDB: A Database for IoT Analytics on Edge Devices. John Paparrizos, Chunwei Liu, Bruno Barbarioli, Johnny Hwang, Ikraduya Edian, Aaron J. Elmore, Michael J. Franklin, Sanjay Krishnan CIDR 2021
• Version Reconciliation for Collaborative Databases. Nalin Ranjan, Zechao Shang, Sanjay Krishnan, Aaron J. Elmore SoCC 2021
• CIAO: An Optimization Framework for Client-Assisted Data Loading. Cong Ding, Dixin Tang, Xi Liang, Aaron J. Elmore, Sanjay Krishnan ICDE 2021
• Files of a Feather Flock Together? Measuring and Modeling How Users Perceive File Similarity in Cloud Storage. Will Brackenbury, Galen Harrison, Kyle Chard, Aaron J. Elmore, Blase Ur SIGIR 2021
• Understanding and optimizing packed neural network training for hyper-parameter tuning. Rui Liu, Sanjay Krishnan, Aaron J. Elmore, Michael J. Franklin DEEM@SIGMOD 2021
• Good to the Last Bit: Data-Driven Encoding with CodecDB. Hao Jiang, Chunwei Liu, John Paparrizos, Andrew A. Chien, Jihong Ma, Aaron J. Elmore SIGMOD 2021
• Resource-efficient Shared Query Execution via Exploiting Time Slackness. Dixin Tang, Zechao Shang, William W. Ma, Aaron J. Elmore, Sanjay Krishnan SIGMOD 2021
• KondoCloud: Improving Information Management in Cloud Storage via Recommendations Based on File Similarity. Will Brackenbury, Andrew M. McNutt, Kyle Chard, Aaron J. Elmore, Blase Ur UIST 2021
• Decomposed Bounded Floats for Fast Compression and Queries. Chunwei Liu, Hao Jiang, John Paparrizos, Aaron J. Elmore Proc. VLDB Endow. 2021
• A Demonstration of Relic: A System for REtrospective Lineage InferenCe of Data Workflows. (Demo) Mohammed Suhail Rehman, Silu Huang, Aaron J. Elmore Proc. VLDB Endow. 2021
• DLHub: Simplifying publication, discovery, and use of machine learning models in science. Zhuozhao Li, Ryan Chard, Logan T. Ward, Kyle Chard, Tyler J. Skluzacek, Yadu N. Babuji, Anna Woodard, Steven Tuecke, Ben Blaiszik, Michael J. Franklin, Ian T. Foster J. Parallel Distributed Comput. 2021
• SAND: Streaming Subsequence Anomaly Detection. Paul Boniol, John Paparrizos, Themis Palpanas, Michael J. Franklin Proc. VLDB Endow. 2021
• SAND in Action: Subsequence Anomaly Detection for Streams. (Demo) Paul Boniol, John Paparrizos, Themis Palpanas, Michael J. Franklin Proc. VLDB Endow. 2021
• Combining Aggregation and Sampling (Nearly) Optimally for Approximate Query Processing. Xi Liang, Stavros Sintos, Zechao Shang, Sanjay Krishnan SIGMOD 2021
• Declarative Data Serving: The Future of Machine Learning Inference on the Edge. Ted Shaowang, Nilesh Jain, Dennis Matthews, Sanjay Krishnan Proc. VLDB Endow. 2021

2020

• CrocodileDB: Efficient Database Execution through Intelligent Deferment. Zechao Shang, Xi Liang, Dixin Tang, Cong Ding, Aaron J. Elmore, Sanjay Krishnan, Michael J. Franklin CIDR 2020
• Fast and Reliable Missing Data Contingency Analysis with Predicate-Constraints. Xi Liang, Zechao Shang, Sanjay Krishnan, Aaron J. Elmore, Michael J. Franklin SIGMOD 2020
• Thrifty Query Execution via Incrementability. Dixin Tang, Zechao Shang, Aaron J. Elmore, Sanjay Krishnan, Michael J. Franklin SIGMOD 2020
• Debunking Four Long-Standing Misconceptions of Time-Series Distance Measures. John Paparrizos, Chunwei Liu, Aaron J. Elmore, Michael J. Franklin SIGMOD 2020
• PIDS: Attribute Decomposition for Improved Compression and Query Performance in Columnar Storage. Hao Jiang, Chunwei Liu, Qi Jin, John Paparrizos, Aaron J. Elmore Proc. VLDB Endow. 2020
• CrocodileDB in Action: Resource-Efficient Query Execution by Exploiting Time Slackness. (Demo) Dixin Tang, Zechao Shang, Aaron J. Elmore, Sanjay Krishnan, Michael J. Franklin Proc. VLDB Endow. 2020
• $\varvec{\textsc {Orpheus}}$DB: bolt-on versioning for relational databases (extended version). Silu Huang, Liqi Xu, Jialin Liu, Aaron J. Elmore, Aditya G. Parameswaran VLDB J. 2020
• Data Market Platforms: Trading Data Assets to Solve Data Problems. Raul Castro Fernandez, Pranav Subramaniam, Michael J. Franklin Proc. VLDB Endow. 2020
• Kira: Processing Astronomy Imagery Using Big Data Technology. Zhao Zhang, Kyle Barbary, Frank Austin Nothaft, Evan R. Sparks, Oliver Zahn, Michael J. Franklin, David A. Patterson, Saul Perlmutter IEEE Trans. Big Data 2020
• Machine Learning based detection of multiple Wi-Fi BSSs for LTE-U CSAT. Vanlin Sathya, Adam Dziedzic, Monisha Ghosh, Sanjay Krishnan ICNC 2020
• A System for Studying Deep Network Training. Raul Castro Fernandez CIDR 2020
• Starling: A Scalable Query Engine on Cloud Functions. Matthew Perron, Raul Castro Fernandez, David J. DeWitt, Samuel Madden SIGMOD 2020
• ARDA: Automatic Relational Data Augmentation for Machine Learning. Nadiia Chepurko, Ryan Marcus, Emanuel Zgraggen, Raul Castro Fernandez, Tim Kraska, David R. Karger Proc. VLDB Endow. 2020

2019

• DeepLens: Towards a Visual Data Management System. Sanjay Krishnan, Adam Dziedzic, Aaron J. Elmore CIDR 2019
• Mostly Order Preserving Dictionaries. Chunwei Liu, McKade Umbenhower, Hao Jiang, Pranav Subramaniam, Jihong Ma, Aaron J. Elmore ICDE 2019
• Band-limited Training and Inference for Convolutional Neural Networks. Adam Dziedzic, John Paparrizos, Sanjay Krishnan, Aaron J. Elmore, Michael J. Franklin ICML 2019
• MgCrab: Transaction Crabbing for Live Migration in Deterministic Database Systems. Yu-Shan Lin, Shao-Kan Pi, Meng-Kai Liao, Ching Tsai, Aaron J. Elmore, Shan-Hung Wu Proc. VLDB Endow. 2019
• Intermittent Query Processing. Dixin Tang, Zechao Shang, Aaron J. Elmore, Sanjay Krishnan, Michael J. Franklin Proc. VLDB Endow. 2019
• Artificial Intelligence in Resource-Constrained and Shared Environments. Sanjay Krishnan, Aaron J. Elmore, Michael J. Franklin, John Paparrizos, Zechao Shang, Adam Dziedzic, Rui Liu ACM SIGOPS Oper. Syst. Rev. 2019
• DLHub: Model and Data Serving for Science. Ryan Chard, Zhuozhao Li, Kyle Chard, Logan T. Ward, Yadu N. Babuji, Anna Woodard, Steven Tuecke, Ben Blaiszik, Michael J. Franklin, Ian T. Foster IPDPS 2019
• GRAIL: Efficient Time-Series Representation Learning. John Paparrizos, Michael J. Franklin Proc. VLDB Endow. 2019
• The Seattle Report on Database Research. Daniel Abadi, Anastasia Ailamaki, David G. Andersen, Peter Bailis, Magdalena Balazinska, Philip A. Bernstein, Peter A. Boncz, Surajit Chaudhuri, Alvin Cheung, AnHai Doan, Luna Dong, Michael J. Franklin, Juliana Freire, Alon Y. Halevy, Joseph M. Hellerstein, Stratos Idreos, Donald Kossmann, Tim Kraska, Sailesh Krishnamurthy, Volker Markl, Sergey Melnik, Tova Milo, C. Mohan, Thomas Neumann, Beng Chin Ooi, Fatma Ozcan, Jignesh M. Patel, Andrew Pavlo, Raluca A. Popa, Raghu Ramakrishnan, Christopher Ré, Michael Stonebraker, Dan Suciu SIGMOD Rec. 2019
• Automating Planar Object Singulation by Linear Pushing with Single-point and Multi-point Contacts. Zisu Dong, Sanjay Krishnan, Sona Dolasia, Ashwin Balakrishna, Michael Danielczuk, Ken Goldberg CASE 2019
• Optimizing Robot-Assisted Surgery Suture Plans to Avoid Joint Limits and Singularities. Brijen Thananjeyan, Ajay Kumar Tanwani, Jessica J. Ji, Danyal Fer, Vatsal Patel, Sanjay Krishnan, Ken Goldberg ISMR 2019
• SWIRL: A sequential windowed inverse reinforcement learning algorithm for robot tasks with delayed rewards. Sanjay Krishnan, Animesh Garg, Richard Liaw, Brijen Thananjeyan, Lauren Miller, Florian T. Pokorny, Ken Goldberg Int. J. Robotics Res. 2019
• Deep Unsupervised Cardinality Estimation. Zongheng Yang, Eric Liang, Amog Kamsetty, Chenggang Wu, Yan Duan, Xi Chen, Pieter Abbeel, Joseph M. Hellerstein, Sanjay Krishnan, Ion Stoica Proc. VLDB Endow. 2019
• Lazo: A Cardinality-Based Method for Coupled Estimation of Jaccard Similarity and Containment. Raul Castro Fernandez, Jisoo Min, Demitri Nava, Samuel Madden ICDE 2019
• Termite: a system for tunneling through heterogeneous data. Raul Castro Fernandez, Samuel Madden aiDM@SIGMOD 2019
• Raha: A Configuration-Free Error Detection System. Mohammad Mahdavi, Ziawasch Abedjan, Raul Castro Fernandez, Samuel Madden, Mourad Ouzzani, Michael Stonebraker, Nan Tang SIGMOD 2019

2018

• Boosting data filtering on columnar encoding with SIMD. Hao Jiang, Aaron J. Elmore DaMoN 2018
• Draining the Data Swamp: A Similarity-based Approach. Will Brackenbury, Rui Liu, Mainack Mondal, Aaron J. Elmore, Blase Ur, Kyle Chard, Michael J. Franklin HILDA@SIGMOD 2018
• RushMon: Real-time Isolation Anomalies Monitoring. Zechao Shang, Jeffrey Xu Yu, Aaron J. Elmore SIGMOD 2018
• DataDiff: User-Interpretable Data Transformation Summaries for Collaborative Data Analysis. (Demo) Günce Su Yilmaz, Tana Wattanawaroon, Liqi Xu, Abhishek Nigam, Aaron J. Elmore, Aditya G. Parameswaran SIGMOD 2018
• Toward Coordination-free and Reconfigurable Mixed Concurrency Control. Dixin Tang, Aaron J. Elmore USENIX Annual Technical Conference 2018
• CYADB: A Database that Covers Your Ask. (Demo) Zechao Shang, Will Brackenbury, Aaron J. Elmore, Michael J. Franklin Proc. VLDB Endow. 2018
• Prototyping a Web-Scale Multimedia Retrieval Service Using Spark. Gylfi Þór Gudmundsson, Björn Þór Jónsson, Laurent Amsaleg, Michael J. Franklin ACM Trans. Multim. Comput. Commun. Appl. 2018
• Learning 2D Surgical Camera Motion From Demonstrations. Jessica J. Ji, Sanjay Krishnan, Vatsal Patel, Danyal Fer, Ken Goldberg CASE 2018
• Parametrized Hierarchical Procedures for Neural Programming. Roy Fox, Richard Shin, Sanjay Krishnan, Ken Goldberg, Dawn Song, Ion Stoica ICLR (Poster) 2018
• Fast and Reliable Autonomous Surgical Debridement with Cable-Driven Robots Using a Two-Phase Calibration Procedure. Daniel Seita, Sanjay Krishnan, Roy Fox, Stephen McKinley, John F. Canny, Ken Goldberg ICRA 2018
• Using intermittent synchronization to compensate for rhythmic body motion during autonomous surgical cutting and debridement. Vatsal Patel, Sanjay Krishnan, Aimee Goncalves, Carolyn Chen, Walter Doug Boyd, Ken Goldberg ISMR 2018
• SPRK: A low-cost stewart platform for motion study in surgical robotics. Vatsal Patel, Sanjay Krishnan, Aimee Goncalves, Ken Goldberg ISMR 2018
• Generalizing Robot Imitation Learning with Invariant Hidden Semi-Markov Models. Ajay Kumar Tanwani, Jonathan Lee, Brijen Thananjeyan, Michael Laskey, Sanjay Krishnan, Roy Fox, Ken Goldberg, Sylvain Calinon WAFR 2018
• Extracting Syntactical Patterns from Databases. Andrew Ilyas, Joana M. F. da Trindade, Raul Castro Fernandez, Samuel Madden ICDE 2018
• Seeping Semantics: Linking Datasets Using Word Embeddings for Data Discovery. Raul Castro Fernandez, Essam Mansour, Abdulhakim Ali Qahtan, Ahmed K. Elmagarmid, Ihab F. Ilyas, Samuel Madden, Mourad Ouzzani, Michael Stonebraker, Nan Tang ICDE 2018
• Aurum: A Data Discovery System. Raul Castro Fernandez, Ziawasch Abedjan, Famien Koko, Gina Yuan, Samuel Madden, Michael Stonebraker ICDE 2018
• Building Data Civilizer Pipelines with an Advanced Workflow Engine. (Demo) Essam Mansour, Dong Deng, Raul Castro Fernandez, Abdulhakim Ali Qahtan, Wenbo Tao, Ziawasch Abedjan, Ahmed K. Elmagarmid, Ihab F. Ilyas, Samuel Madden, Mourad Ouzzani, Michael Stonebraker, Nan Tang ICDE 2018
• FAHES: A Robust Disguised Missing Values Detector. Abdulhakim Ali Qahtan, Ahmed K. Elmagarmid, Raul Castro Fernandez, Mourad Ouzzani, Nan Tang KDD 2018
• Meta-Dataflows: Efficient Exploratory Dataflow Jobs. Raul Castro Fernandez, William Culhane, Pijika Watcharapichat, Matthias Weidlich, Victoria Lopez Morales, Peter R. Pietzuch SIGMOD 2018

2017

• Adaptive Concurrency Control: Despite the Looking Glass, One Concurrency Control Does Not Fit All. Dixin Tang, Hao Jiang, Aaron J. Elmore CIDR 2017
• A robust partitioning scheme for ad-hoc query workloads. Anil Shanbhag, Alekh Jindal, Samuel Madden, Jorge-Arnulfo Quiané-Ruiz, Aaron J. Elmore SoCC 2017
• BigDAWG version 0.1. Vijay Gadepally, Kyle O'Brien, Adam Dziedzic, Aaron J. Elmore, Jeremy Kepner, Samuel Madden, Tim Mattson, Jennie Rogers, Zuohao She, Michael Stonebraker HPEC 2017
• UDP: a programmable accelerator for extract-transform-load workloads and more. Yuanwei Fang, Chen Zou, Aaron J. Elmore, Andrew A. Chien MICRO 2017
• OrpheusDB: A Lightweight Approach to Relational Dataset Versioning. (Demo) Liqi Xu, Silu Huang, SiLi Hui, Aaron J. Elmore, Aditya G. Parameswaran SIGMOD 2017
• OrpheusDB: Bolt-on Versioning for Relational Databases. Silu Huang, Liqi Xu, Jialin Liu, Aaron J. Elmore, Aditya G. Parameswaran Proc. VLDB Endow. 2017
• Mike Franklin Spits Fire. Mike Franklin CIDR 2017
• Cioppino: Multi-Tenant Crowd Management. Daniel Haas, Michael J. Franklin HCOMP 2017
• Diagnosing Machine Learning Pipelines with Fine-grained Lineage. Zhao Zhang, Evan R. Sparks, Michael J. Franklin HPDC 2017
• Crowdsourced Data Management: A Survey. (Tutorial or Abstact) Guoliang Li, Jiannan Wang, Yudian Zheng, Michael J. Franklin ICDE 2017
• KeystoneML: Optimizing Pipelines for Large-Scale Advanced Analytics. Evan R. Sparks, Shivaram Venkataraman, Tomer Kaftan, Michael J. Franklin, Benjamin Recht ICDE 2017
• Data Science Education: We're Missing the Boat, Again. (Tutorial or Abstact) Bill Howe, Michael J. Franklin, Laura M. Haas, Tim Kraska, Jeffrey D. Ullman ICDE 2017
• Towards Engineering a Web-Scale Multimedia Service: A Case Study Using Spark. Gylfi Þór Guðmundsson, Laurent Amsaleg, Björn Þór Jónsson, Michael J. Franklin MMSys 2017
• Clipper: A Low-Latency Online Prediction Serving System. Daniel Crankshaw, Xin Wang, Giulio Zhou, Michael J. Franklin, Joseph E. Gonzalez, Ion Stoica NSDI 2017
• Drizzle: Fast and Adaptable Stream Processing at Scale. Shivaram Venkataraman, Aurojit Panda, Kay Ousterhout, Michael Armbrust, Ali Ghodsi, Michael J. Franklin, Benjamin Recht, Ion Stoica SOSP 2017
• An algorithm and user study for teaching bilateral manipulation via iterated best response demonstrations. Carolyn Chen, Sanjay Krishnan, Michael Laskey, Roy Fox, Ken Goldberg CASE 2017
• Statistical data cleaning for deep learning of automation tasks from demonstrations. Caleb Chuck, Michael Laskey, Sanjay Krishnan, Ruta Joshi, Roy Fox, Ken Goldberg CASE 2017
• RLEX: Saftey and Data Quality in Reinforcement Learning-based and Adaptive Systems. Sanjay Krishnan CIDR 2017
• DDCO: Discovery of Deep Continuous Options for Robot Learning from Demonstrations. Sanjay Krishnan, Roy Fox, Ion Stoica, Ken Goldberg CoRL 2017
• Malasakit 1.0: A participatory online platform for crowdsourcing disaster risk reduction strategies in the philippines. Brandie Nonnecke, Shrestha Mohanty, Andrew Lee, Jonathan Lee, Sequoia Beckman, Justin Mi, Sanjay Krishnan, Rachel Edita Roxas, Nathaniel Oco, Camille Crittenden, Ken Goldberg GHTC 2017
• Comparing human-centric and robot-centric sampling for robot deep learning from demonstrations. Michael Laskey, Caleb Chuck, Jonathan Lee, Jeffrey Mahler, Sanjay Krishnan, Kevin G. Jamieson, Anca D. Dragan, Ken Goldberg ICRA 2017
• Multilateral surgical pattern cutting in 2D orthotropic gauze with deep reinforcement learning policies for tensioning. Brijen Thananjeyan, Animesh Garg, Sanjay Krishnan, Carolyn Chen, Lauren Miller, Ken Goldberg ICRA 2017
• M-CAFE 2.0: A Scalable Platform with Comparative Plots and Topic Tagging for Ongoing Course Feedback. Mo Zhou, Sanjay Krishnan, Jay Patel, Brandie Nonnecke, Camille Crittenden, Ken Goldberg SIGITE 2017
• PALM: Machine Learning Explanations For Iterative Debugging. Sanjay Krishnan, Eugene Wu HILDA@SIGMOD 2017
• Transition state clustering: Unsupervised surgical trajectory segmentation for robot learning. Sanjay Krishnan, Animesh Garg, Sachin Patil, Colin Lea, Gregory D. Hager, Pieter Abbeel, Ken Goldberg Int. J. Robotics Res. 2017
• A Data Quality Metric (DQM): How to Estimate the Number of Undetected Errors in Data Sets. Yeounoh Chung, Sanjay Krishnan, Tim Kraska Proc. VLDB Endow. 2017
• The Data Civilizer System. Dong Deng, Raul Castro Fernandez, Ziawasch Abedjan, Sibo Wang, Michael Stonebraker, Ahmed K. Elmagarmid, Ihab F. Ilyas, Samuel Madden, Mourad Ouzzani, Nan Tang CIDR 2017
• A Demo of the Data Civilizer System. (Demo) Raul Castro Fernandez, Dong Deng, Essam Mansour, Abdulhakim Ali Qahtan, Wenbo Tao, Ziawasch Abedjan, Ahmed K. Elmagarmid, Ihab F. Ilyas, Samuel Madden, Mourad Ouzzani, Michael Stonebraker, Nan Tang SIGMOD 2017

2016

• STeP: Scalable Tenant Placement for Managing Database-as-a-Service Deployments. Rebecca Taft, Willis Lang, Jennie Duggan, Aaron J. Elmore, Michael Stonebraker, David J. DeWitt SoCC 2016
• Data transformation and migration in polystores. Adam Dziedzic, Aaron J. Elmore, Michael Stonebraker HPEC 2016
• The BigDAWG polystore system and architecture. Vijay Gadepally, Peinan Chen, Jennie Duggan, Aaron J. Elmore, Brandon Haynes, Jeremy Kepner, Samuel Madden, Tim Mattson, Michael Stonebraker HPEC 2016
• Integrating real-time and batch processing in a polystore. John Meehan, Stan Zdonik, Shaobo Tian, Yulong Tian, Nesime Tatbul, Adam Dziedzic, Aaron J. Elmore HPEC 2016
• Decibel: The Relational Dataset Branching System. Michael Maddox, David Goehring, Aaron J. Elmore, Samuel Madden, Aditya G. Parameswaran, Amol Deshpande Proc. VLDB Endow. 2016
• Clay: Fine-Grained Adaptive Partitioning for General Database Schemas. Marco Serafini, Rebecca Taft, Aaron J. Elmore, Andrew Pavlo, Ashraf Aboulnaga, Michael Stonebraker Proc. VLDB Endow. 2016
• Ernest: Efficient Performance Prediction for Large-Scale Advanced Analytics. Shivaram Venkataraman, Zongheng Yang, Michael J. Franklin, Benjamin Recht, Ion Stoica NSDI 2016
• Towards reliable interactive data cleaning: a user survey and recommendations. Sanjay Krishnan, Daniel Haas, Michael J. Franklin, Eugene Wu HILDA@SIGMOD 2016
• PrivateClean: Data Cleaning and Differential Privacy. Sanjay Krishnan, Jiannan Wang, Michael J. Franklin, Ken Goldberg, Tim Kraska SIGMOD 2016
• SparkR: Scaling R Programs with Spark. Shivaram Venkataraman, Zongheng Yang, Davies Liu, Eric Liang, Hossein Falaki, Xiangrui Meng, Reynold Xin, Ali Ghodsi, Michael J. Franklin, Ion Stoica, Matei Zaharia SIGMOD 2016
• ActiveClean: An Interactive Data Cleaning Framework For Modern Machine Learning. (Demo) Sanjay Krishnan, Michael J. Franklin, Ken Goldberg, Jiannan Wang, Eugene Wu SIGMOD 2016
• Large-scale supervised learning of the grasp robustness of surface patch pairs. Daniel Seita, Florian T. Pokorny, Jeffrey Mahler, Danica Kragic, Michael J. Franklin, John F. Canny, Kenneth Y. Goldberg SIMPAR 2016
• MLlib: Machine Learning in Apache Spark. Xiangrui Meng, Joseph K. Bradley, Burak Yavuz, Evan R. Sparks, Shivaram Venkataraman, Davies Liu, Jeremy Freeman, D. B. Tsai, Manish Amde, Sean Owen, Doris Xin, Reynold Xin, Michael J. Franklin, Reza Zadeh, Matei Zaharia, Ameet Talwalkar J. Mach. Learn. Res. 2016
• ActiveClean: Interactive Data Cleaning For Statistical Modeling. Sanjay Krishnan, Jiannan Wang, Eugene Wu, Michael J. Franklin, Ken Goldberg Proc. VLDB Endow. 2016
• Skipping-oriented Partitioning for Columnar Layouts. Liwen Sun, Michael J. Franklin, Jiannan Wang, Eugene Wu Proc. VLDB Endow. 2016
• Crowdsourced Data Management: A Survey. Guoliang Li, Jiannan Wang, Yudian Zheng, Michael J. Franklin IEEE Trans. Knowl. Data Eng. 2016
• TSC-DL: Unsupervised trajectory segmentation of multi-modal surgical demonstrations with Deep Learning. Adithyavairavan Murali, Animesh Garg, Sanjay Krishnan, Florian T. Pokorny, Pieter Abbeel, Trevor Darrell, Ken Goldberg ICRA 2016
• Data Cleaning: Overview and Emerging Challenges. Xu Chu, Ihab F. Ilyas, Sanjay Krishnan, Jiannan Wang SIGMOD 2016
• SWIRL: A SequentialWindowed Inverse Reinforcement Learning Algorithm for Robot Tasks With Delayed Rewards. Sanjay Krishnan, Animesh Garg, Richard Liaw, Brijen Thananjeyan, Lauren Miller, Florian T. Pokorny, Ken Goldberg WAFR 2016
• Ako: Decentralised Deep Learning with Partial Gradient Exchange. Pijika Watcharapichat, Victoria Lopez Morales, Raul Castro Fernandez, Peter R. Pietzuch SoCC 2016
• The SABER system for window-based hybrid stream processing with GPGPUs: demo. (Demo) Alexandros Koliousis, Matthias Weidlich, Raul Castro Fernandez, Alexander L. Wolf, Paolo Costa, Peter R. Pietzuch DEBS 2016
• Java2SDG: Stateful big data processing for the masses. (Demo) Raul Castro Fernandez, Panagiotis Garefalakis, Peter R. Pietzuch ICDE 2016
• Towards large-scale data discovery: position paper. (Tutorial or Abstact) Raul Castro Fernandez, Ziawasch Abedjan, Samuel Madden, Michael Stonebraker ExploreDB@SIGMOD/PODS 2016
• SABER: Window-Based Hybrid Stream Processing for Heterogeneous Architectures. Alexandros Koliousis, Matthias Weidlich, Raul Castro Fernandez, Alexander L. Wolf, Paolo Costa, Peter R. Pietzuch SIGMOD 2016
• Detecting Data Errors: Where are we and what needs to be done? Ziawasch Abedjan, Xu Chu, Dong Deng, Raul Castro Fernandez, Ihab F. Ilyas, Mourad Ouzzani, Paolo Papotti, Michael Stonebraker, Nan Tang Proc. VLDB Endow. 2016
• Quill: Efficient, Transferable, and Rich Analytics at Scale. Badrish Chandramouli, Raul Castro Fernandez, Jonathan Goldstein, Ahmed Eldawy, Abdul Quamar Proc. VLDB Endow. 2016

2015

• DataHub: Collaborative Data Science & Dataset Version Management at Scale. Anant P. Bhardwaj, Souvik Bhattacherjee, Amit Chavan, Amol Deshpande, Aaron J. Elmore, Samuel Madden, Aditya G. Parameswaran CIDR 2015
• Squall: Fine-Grained Live Reconfiguration for Partitioned Main Memory Databases. Aaron J. Elmore, Vaibhav Arora, Rebecca Taft, Andrew Pavlo, Divyakant Agrawal, Amr El Abbadi SIGMOD 2015
• Towards a Unified Query Language for Provenance and Versioning. Amit Chavan, Silu Huang, Amol Deshpande, Aaron J. Elmore, Samuel Madden, Aditya G. Parameswaran TaPP 2015
• A Demonstration of the BigDAWG Polystore System. (Demo) Aaron J. Elmore, Jennie Duggan, Mike Stonebraker, Magdalena Balazinska, Ugur Çetintemel, Vijay Gadepally, Jeffrey Heer, Bill Howe, Jeremy Kepner, Tim Kraska, Samuel Madden, David Maier, Timothy G. Mattson, Stavros Papadopoulos, Jeff Parkhurst, Nesime Tatbul, Manasi Vartak, Stan Zdonik Proc. VLDB Endow. 2015
• Collaborative Data Analytics with DataHub. (Demo) Anant P. Bhardwaj, Amol Deshpande, Aaron J. Elmore, David R. Karger, Sam Madden, Aditya G. Parameswaran, Harihar Subramanyam, Eugene Wu, Rebecca Zhang Proc. VLDB Endow. 2015
• The BigDAWG Polystore System. Jennie Duggan, Aaron J. Elmore, Michael Stonebraker, Magdalena Balazinska, Bill Howe, Jeremy Kepner, Sam Madden, David Maier, Tim Mattson, Stanley B. Zdonik SIGMOD Rec. 2015
• Scientific computing meets big data technology: An astronomy use case. Zhao Zhang, Kyle Barbary, Frank Austin Nothaft, Evan R. Sparks, Oliver Zahn, Michael J. Franklin, David A. Patterson, Saul Perlmutter IEEE BigData 2015
• The Missing Piece in Complex Analytics: Low Latency, Scalable Model Management and Serving with Velox. Daniel Crankshaw, Peter Bailis, Joseph E. Gonzalez, Haoyuan Li, Zhao Zhang, Michael J. Franklin, Ali Ghodsi, Michael I. Jordan CIDR 2015
• Automating model search for large scale machine learning. Evan R. Sparks, Ameet Talwalkar, Daniel Haas, Michael J. Franklin, Michael I. Jordan, Tim Kraska SoCC 2015
• Managing information for personal goals (vision). (Demo) Alan D. Fekete, Judy Kay, Michael J. Franklin, Debjanee Barua, Bob Kummerfeld ICDE Workshops 2015
• Rethinking Data-Intensive Science Using Scalable Analytics Systems. Frank Austin Nothaft, Matt Massie, Timothy Danford, Zhao Zhang, Uri Laserson, Carl Yeksigian, Jey Kottalam, Arun Ahuja, Jeff Hammerbacher, Michael D. Linderman, Michael J. Franklin, Anthony D. Joseph, David A. Patterson SIGMOD 2015
• Feral Concurrency Control: An Empirical Investigation of Modern Application Integrity. Peter Bailis, Alan D. Fekete, Michael J. Franklin, Ali Ghodsi, Joseph M. Hellerstein, Ion Stoica SIGMOD 2015
• Spark SQL: Relational Data Processing in Spark. Michael Armbrust, Reynold S. Xin, Cheng Lian, Yin Huai, Davies Liu, Joseph K. Bradley, Xiangrui Meng, Tomer Kaftan, Michael J. Franklin, Ali Ghodsi, Matei Zaharia SIGMOD 2015
• Making Sense of Big Data with the Berkeley Data Analytics Stack. (Tutorial or Abstact) Michael J. Franklin WSDM 2015
• Big Data: New Paradigm or "Sound and Fury, Signifying Nothing"? (Tutorial or Abstact) Andrei Z. Broder, Lada A. Adamic, Michael J. Franklin, Maarten de Rijke, Eric P. Xing, Kai Yu WSDM 2015
• SampleClean: Fast and Reliable Analytics on Dirty Data. Sanjay Krishnan, Jiannan Wang, Michael J. Franklin, Ken Goldberg, Tim Kraska, Tova Milo, Eugene Wu IEEE Data Eng. Bull. 2015
• CSA: Streaming Engine for Internet of Things. Zhitao Shen, Vikram Kumaran, Michael J. Franklin, Sailesh Krishnamurthy, Amit Bhat, Madhu Kumar, Robert Lerche, Kim Macpherson IEEE Data Eng. Bull. 2015
• Stale View Cleaning: Getting Fresh Answers from Stale Materialized Views. Sanjay Krishnan, Jiannan Wang, Michael J. Franklin, Ken Goldberg, Tim Kraska Proc. VLDB Endow. 2015
• Wisteria: Nurturing Scalable Data Cleaning Infrastructure. (Demo) Daniel Haas, Sanjay Krishnan, Jiannan Wang, Michael J. Franklin, Eugene Wu Proc. VLDB Endow. 2015
• CLAMShell: Speeding up Crowds for Low-latency Data Labeling. Daniel Haas, Jiannan Wang, Eugene Wu, Michael J. Franklin Proc. VLDB Endow. 2015
• Crowdsourcing Enumeration Queries: Estimators and Interfaces. Beth Trushkowsky, Tim Kraska, Michael J. Franklin, Purnamrita Sarkar, Venketaram Ramachandran IEEE Trans. Knowl. Data Eng. 2015
• DevCAFE 1.0: A participatory platform for assessing development initiatives in the field. Brandie Nonnecke, Sanjay Krishnan, Jay Patel, Mo Zhou, Laura Byaruhanga, Dorothy Masinde, Maria Elena Meneses, Alejandro Martin del Campo, Camille Crittenden, Kenneth Y. Goldberg GHTC 2015
• Transition State Clustering: Unsupervised Surgical Trajectory Segmentation for Robot Learning. Sanjay Krishnan, Animesh Garg, Sachin Patil, Colin Lea, Gregory D. Hager, Pieter Abbeel, Ken Goldberg ISRR (2) 2015
• M-CAFE: Managing MOOC Student Feedback with Collaborative Filtering. (Demo) Mo Zhou, Alison Cliff, Allen Huang, Sanjay Krishnan, Brandie Nonnecke, Kanji Uchino, Samuel Joseph, Armando Fox, Ken Goldberg L@S 2015
• A Case Study in Mobile-Optimized vs. Responsive Web Application Design. Jay Patel, Gil Gershoni, Sanjay Krishnan, Matti Nelimarkka, Brandie Nonnecke, Ken Goldberg MobileHCI Adjunct 2015
• M-CAFE 1.0: Motivating and Prioritizing Ongoing Student Feedback During MOOCs and Large on-Campus Courses using Collaborative Filtering. Mo Zhou, Alison Cliff, Sanjay Krishnan, Brandie Nonnecke, Camille Crittenden, Kanji Uchino, Ken Goldberg SIGITE 2015
• Liquid: Unifying Nearline and Offline Big Data Integration. Raul Castro Fernandez, Peter R. Pietzuch, Jay Kreps, Neha Narkhede, Jun Rao, Joel Koshy, Dong Lin, Chris Riccomini, Guozhang Wang CIDR 2015

2014

• E-Store: Fine-Grained Elastic Partitioning for Distributed Transaction Processing. Rebecca Taft, Essam Mansour, Marco Serafini, Jennie Duggan, Aaron J. Elmore, Ashraf Aboulnaga, Andrew Pavlo, Michael Stonebraker Proc. VLDB Endow. 2014
• Learning accurate kinematic control of cable-driven surgical robots using data cleaning and Gaussian Process Regression. Jeffrey Mahler, Sanjay Krishnan, Michael Laskey, Siddarth Sen, Adithyavairavan Murali, Ben Kehoe, Sachin Patil, Jiannan Wang, Mike Franklin, Pieter Abbeel, Kenneth Y. Goldberg CASE 2014
• The Power of Choice in Data-Aware Cluster Scheduling. Shivaram Venkataraman, Aurojit Panda, Ganesh Ananthanarayanan, Michael J. Franklin, Ion Stoica OSDI 2014
• GraphX: Graph Processing in a Distributed Dataflow Framework. Joseph E. Gonzalez, Reynold S. Xin, Ankur Dave, Daniel Crankshaw, Michael J. Franklin, Ion Stoica OSDI 2014
• A methodology for learning, analyzing, and mitigating social influence bias in recommender systems. Sanjay Krishnan, Jay Patel, Michael J. Franklin, Ken Goldberg RecSys 2014
• PLANET: making progress with commit processing in unpredictable environments. Gene Pang, Tim Kraska, Michael J. Franklin, Alan D. Fekete SIGMOD 2014
• Data Science Challenges in Real Estate Asset and Capital Markets. Douglas Burdick, Michael J. Franklin, Paulo Issler, Rajasekar Krishnamurthy, Lucian Popa, Louiqa Raschid, Richard Stanton, Nancy Wallace DSMM 2014
• A sample-and-clean framework for fast and accurate query processing on dirty data. Jiannan Wang, Sanjay Krishnan, Michael J. Franklin, Ken Goldberg, Tim Kraska, Tova Milo SIGMOD 2014
• Should we all be teaching "intro to data science" instead of "intro to databases"? (Tutorial or Abstact) Bill Howe, Michael J. Franklin, Juliana Freire, James Frew, Tim Kraska, Raghu Ramakrishnan SIGMOD 2014
• Fine-grained partitioning for aggressive data skipping. Liwen Sun, Michael J. Franklin, Sanjay Krishnan, Reynold S. Xin SIGMOD 2014
• Record Placement Based on Data Skew Using Solid State Drives. Jun Suzuki, Shivaram Venkataraman, Sameer Agarwal, Michael J. Franklin, Ion Stoica BPOE@ASPLOS/VLDB 2014
• A Partitioning Framework for Aggressive Data Skipping. (Demo) Liwen Sun, Sanjay Krishnan, Reynold S. Xin, Michael J. Franklin Proc. VLDB Endow. 2014
• Scaling Up Crowd-Sourcing to Very Large Datasets: A Case for Active Learning. Barzan Mozafari, Purnamrita Sarkar, Michael J. Franklin, Michael I. Jordan, Samuel Madden Proc. VLDB Endow. 2014
• Coordination Avoidance in Database Systems. Peter Bailis, Alan D. Fekete, Michael J. Franklin, Ali Ghodsi, Joseph M. Hellerstein, Ion Stoica Proc. VLDB Endow. 2014
• The Beckman Report on Database Research. Daniel J. Abadi, Rakesh Agrawal, Anastasia Ailamaki, Magdalena Balazinska, Philip A. Bernstein, Michael J. Carey, Surajit Chaudhuri, Jeffrey Dean, AnHai Doan, Michael J. Franklin, Johannes Gehrke, Laura M. Haas, Alon Y. Halevy, Joseph M. Hellerstein, Yannis E. Ioannidis, H. V. Jagadish, Donald Kossmann, Samuel Madden, Sharad Mehrotra, Tova Milo, Jeffrey F. Naughton, Raghu Ramakrishnan, Volker Markl, Christopher Olston, Beng Chin Ooi, Christopher Ré, Dan Suciu, Michael Stonebraker, Todd Walter, Jennifer Widom SIGMOD Rec. 2014
• Quantifying eventual consistency with PBS. Peter Bailis, Shivaram Venkataraman, Michael J. Franklin, Joseph M. Hellerstein, Ion Stoica VLDB J. 2014
• Communication-Efficient Distributed Dual Coordinate Ascent. Martin Jaggi, Virginia Smith, Martin Takác, Jonathan Terhorst, Sanjay Krishnan, Thomas Hofmann, Michael I. Jordan NIPS 2014
• Scalable stateful stream processing for smart grids. Raul Castro Fernandez, Matthias Weidlich, Peter R. Pietzuch, Avigdor Gal DEBS 2014
• Making State Explicit for Imperative Big Data Processing. Raul Castro Fernandez, Matteo Migliavacca, Evangelia Kalyvianaki, Peter R. Pietzuch USENIX Annual Technical Conference 2014

2013

• Characterizing tenant behavior for placement and crisis mitigation in multitenant DBMSs. Aaron J. Elmore, Sudipto Das, Alexander Pucher, Divyakant Agrawal, Amr El Abbadi, Xifeng Yan SIGMOD 2013
• Towards Database Virtualization for Database as a Service. (Tutorial or Abstact) Aaron J. Elmore, Carlo Curino, Divyakant Agrawal, Amr El Abbadi Proc. VLDB Endow. 2013
• CrowdQ: Crowdsourced Query Understanding. Gianluca Demartini, Beth Trushkowsky, Tim Kraska, Michael J. Franklin CIDR 2013
• MLbase: A Distributed Machine-learning System. Tim Kraska, Ameet Talwalkar, John C. Duchi, Rean Griffith, Michael J. Franklin, Michael I. Jordan CIDR 2013
• MDCC: multi-data center consistency. Tim Kraska, Gene Pang, Michael J. Franklin, Samuel Madden, Alan D. Fekete EuroSys 2013
• A Framework for Adaptive Crowd Query Processing. Beth Trushkowsky, Tim Kraska, Michael J. Franklin HCOMP (Works in Progress / Demos) 2013
• Crowdsourced enumeration queries. Beth Trushkowsky, Tim Kraska, Michael J. Franklin, Purnamrita Sarkar ICDE 2013
• MLI: An API for Distributed Machine Learning. Evan R. Sparks, Ameet Talwalkar, Virginia Smith, Jey Kottalam, Xinghao Pan, Joseph E. Gonzalez, Michael J. Franklin, Michael I. Jordan, Tim Kraska ICDM 2013
• GraphX: a resilient distributed graph system on Spark. Reynold S. Xin, Joseph E. Gonzalez, Michael J. Franklin, Ion Stoica GRADES 2013
• Shark: SQL and rich analytics at scale. Reynold S. Xin, Josh Rosen, Matei Zaharia, Michael J. Franklin, Scott Shenker, Ion Stoica SIGMOD 2013
• Leveraging transitive relations for crowdsourced joins. Jiannan Wang, Guoliang Li, Tim Kraska, Michael J. Franklin, Jianhua Feng SIGMOD 2013
• Generalized scale independence through incremental precomputation. Michael Armbrust, Eric Liang, Tim Kraska, Armando Fox, Michael J. Franklin, David A. Patterson SIGMOD 2013
• RTP: robust tenant placement for elastic in-memory database clusters. Jan Schaffner, Tim Januschowski, Megan Kercher, Tim Kraska, Hasso Plattner, Michael J. Franklin, Dean Jacobs SIGMOD 2013
• PBS at work: advancing data management with consistency metrics. (Demo) Peter Bailis, Shivaram Venkataraman, Michael J. Franklin, Joseph M. Hellerstein, Ion Stoica SIGMOD 2013
• Making sense of big data with the Berkeley data analytics stack. Michael J. Franklin SSDBM 2013
• Scalable and Fault-tolerant Stateful Stream Processing. Raul Castro Fernandez, Matteo Migliavacca, Evangelia Kalyvianaki, Peter R. Pietzuch ICCSW 2013
• Integrating scale out and fault tolerance in stream processing using operator state management. Raul Castro Fernandez, Matteo Migliavacca, Evangelia Kalyvianaki, Peter R. Pietzuch SIGMOD 2013

2012

• The evolving landscape of data management in the cloud. Divyakant Agrawal, Amr El Abbadi, Beng Chin Ooi, Sudipto Das, Aaron J. Elmore Int. J. Comput. Sci. Eng. 2012
• Serializability, not Serial: Concurrency Control and Availability in Multi-Datacenter Datastores. Stacy Patterson, Aaron J. Elmore, Faisal Nawab, Divyakant Agrawal, Amr El Abbadi Proc. VLDB Endow. 2012
• InfoPuzzle: Exploring Group Decision Making in Mobile Peer-to-Peer Databases. (Demo) Aaron J. Elmore, Sudipto Das, Divyakant Agrawal, Amr El Abbadi Proc. VLDB Endow. 2012
• 14th International Workshop on High Performance Transaction Systems (HPTS). Michael Armbrust, Yingyi Bu, Aaron J. Elmore, Rik Farrow, Eugenia Gabrielova, Hatem Mahmoud, Andy Pavlo, Stephen Revilak, Pinar Tözün login Usenix Mag. 2012
• Resilient Distributed Datasets: A Fault-Tolerant Abstraction for In-Memory Cluster Computing. Matei Zaharia, Mosharaf Chowdhury, Tathagata Das, Ankur Dave, Justin Ma, Murphy McCauly, Michael J. Franklin, Scott Shenker, Ion Stoica NSDI 2012
• Shark: fast data analysis using coarse-grained distributed memory. (Demo) Cliff Engle, Antonio Lupher, Reynold Xin, Matei Zaharia, Michael J. Franklin, Scott Shenker, Ion Stoica SIGMOD 2012
• Probabilistically Bounded Staleness for Practical Partial Quorums. Peter Bailis, Shivaram Venkataraman, Michael J. Franklin, Joseph M. Hellerstein, Ion Stoica Proc. VLDB Endow. 2012
• CrowdER: Crowdsourcing Entity Resolution. Jiannan Wang, Tim Kraska, Michael J. Franklin, Jianhua Feng Proc. VLDB Endow. 2012
• Fast and Interactive Analytics over Hadoop Data with Spark. Matei Zaharia, Mosharaf Chowdhury, Tathagata Das, Ankur Dave, Justin Ma, James Murphy McCauley, Michael J. Franklin, Scott Shenker, Ion Stoica login Usenix Mag. 2012
• Special section on large-scale analytics. (Tutorial or Abstact) Wolfgang Lehner, Michael J. Franklin VLDB J. 2012

2011

• Database Scalability, Elasticity, and Autonomy in the Cloud - (Extended Abstract). Divyakant Agrawal, Amr El Abbadi, Sudipto Das, Aaron J. Elmore DASFAA 2011
• Zephyr: live migration in shared nothing databases for elastic cloud platforms. Aaron J. Elmore, Sudipto Das, Divyakant Agrawal, Amr El Abbadi SIGMOD 2011
• Scaling the mobile millennium system in the cloud. Timothy Hunter, Teodor Mihai Moldovan, Matei Zaharia, Samy Merzgui, Justin Ma, Michael J. Franklin, Pieter Abbeel, Alexandre M. Bayen SoCC 2011
• The SCADS Director: Scaling a Distributed Storage System Under Stringent Performance Requirements. Beth Trushkowsky, Peter Bodík, Armando Fox, Michael J. Franklin, Michael I. Jordan, David A. Patterson FAST 2011
• Mobile Data Management - A Dozen Years Later. Michael J. Franklin Mobile Data Management (1) 2011
• CrowdDB: answering queries with crowdsourcing. Michael J. Franklin, Donald Kossmann, Tim Kraska, Sukriti Ramesh, Reynold Xin SIGMOD 2011
• Hybrid in-database inference for declarative information extraction. Daisy Zhe Wang, Michael J. Franklin, Minos N. Garofalakis, Joseph M. Hellerstein, Michael L. Wick SIGMOD 2011
• CrowdDB: Query Processing with the VLDB Crowd. (Demo) Amber Feng, Michael J. Franklin, Donald Kossmann, Tim Kraska, Samuel Madden, Sukriti Ramesh, Andrew Wang, Reynold Xin Proc. VLDB Endow. 2011
• Crowdsourcing Applications and Platforms: A Data Management Perspective. (Tutorial or Abstact) AnHai Doan, Michael J. Franklin, Donald Kossmann, Tim Kraska Proc. VLDB Endow. 2011
• PIQL: Success-Tolerant Query Processing in the Cloud. Michael Armbrust, Kristal Curtis, Tim Kraska, Armando Fox, Michael J. Franklin, David A. Patterson Proc. VLDB Endow. 2011

2010

• The case for PIQL: a performance insightful query language. Michael Armbrust, Nick Lanham, Stephen Tu, Armando Fox, Michael J. Franklin, David A. Patterson SoCC 2010
• Characterizing, modeling, and generating workload spikes for stateful services. Peter Bodík, Armando Fox, Michael J. Franklin, Michael I. Jordan, David A. Patterson SoCC 2010
• Continuous analytics: data stream query processing in practice. Michael J. Franklin DEBS 2010
• Solving the Scalability Dilemma with Clouds, Crowds, and Algorithms. Michael J. Franklin GPC 2010
• Spark: Cluster Computing with Working Sets. Matei Zaharia, Mosharaf Chowdhury, Michael J. Franklin, Scott Shenker, Ion Stoica HotCloud 2010
• Probabilistic declarative information extraction. (Demo) Daisy Zhe Wang, Eirinaios Michelakis, Michael J. Franklin, Minos N. Garofalakis, Joseph M. Hellerstein ICDE 2010
• Continuous analytics over discontinuous streams. Sailesh Krishnamurthy, Michael J. Franklin, Jeffrey Davis, Daniel Farina, Pasha Golovko, Alan Li, Neil Thombre SIGMOD 2010
• PIQL: a performance insightful query language. (Demo) Michael Armbrust, Stephen Tu, Armando Fox, Michael J. Franklin, David A. Patterson, Nick Lanham, Beth Trushkowsky, Jesse Trutna SIGMOD 2010
• Crowds, clouds, and algorithms: exploring the human side of "big data" applications. (Tutorial or Abstact) Sihem Amer-Yahia, AnHai Doan, Jon M. Kleinberg, Nick Koudas, Michael J. Franklin SIGMOD 2010
• Querying Probabilistic Information Extraction. Daisy Zhe Wang, Michael J. Franklin, Minos N. Garofalakis, Joseph M. Hellerstein Proc. VLDB Endow. 2010

2009

• Dataspaces: Progress and Prospects. (Tutorial or Abstact) Michael J. Franklin BNCOD 2009
• Continuous Analytics: Rethinking Query Processing in a Network-Effect World. Michael J. Franklin, Sailesh Krishnamurthy, Neil Conway, Alan Li, Alexander Russakovsky, Neil Thombre CIDR 2009
• Functional Dependency Generation and Applications in Pay-As-You-Go Data Integration Systems. Daisy Zhe Wang, Xin Luna Dong, Anish Das Sarma, Michael J. Franklin, Alon Y. Halevy WebDB 2009

2008

• Pay-as-you-go user feedback for dataspace systems. Shawn R. Jeffery, Michael J. Franklin, Alon Y. Halevy SIGMOD 2008
• A first tutorial on dataspaces. (Tutorial or Abstact) Michael J. Franklin, Alon Y. Halevy, David Maier Proc. VLDB Endow. 2008
• The Claremont report on database research. Rakesh Agrawal, Anastasia Ailamaki, Philip A. Bernstein, Eric A. Brewer, Michael J. Carey, Surajit Chaudhuri, AnHai Doan, Daniela Florescu, Michael J. Franklin, Hector Garcia-Molina, Johannes Gehrke, Le Gruenwald, Laura M. Haas, Alon Y. Halevy, Joseph M. Hellerstein, Yannis E. Ioannidis, Henry F. Korth, Donald Kossmann, Samuel Madden, Roger Magoulas, Beng Chin Ooi, Tim O'Reilly, Raghu Ramakrishnan, Sunita Sarawagi, Michael Stonebraker, Alexander S. Szalay, Gerhard Weikum SIGMOD Rec. 2008
• An adaptive RFID middleware for supporting metaphysical data independence. Shawn R. Jeffery, Michael J. Franklin, Minos N. Garofalakis VLDB J. 2008

2007

• LagOver: Latency Gradated Overlays. Anwitaman Datta, Ion Stoica, Michael J. Franklin ICDCS 2007
• Thinking Big About Tiny Databases. Michael J. Franklin, Joseph M. Hellerstein, Samuel Madden IEEE Data Eng. Bull. 2007
• Data Management in the Worldwide Sensor Web. Magdalena Balazinska, Amol Deshpande, Michael J. Franklin, Phillip B. Gibbons, Jim Gray, Mark H. Hansen, Michael Liebhold, Suman Nath, Alexander S. Szalay, Vincent Tao IEEE Pervasive Comput. 2007

2006

• Dataspaces: A New Abstraction for Information Management. (Tutorial or Abstact) Alon Y. Halevy, Michael J. Franklin, David Maier DASFAA 2006
• A Pipelined Framework for Online Cleaning of Sensor Data Streams. Shawn R. Jeffery, Gustavo Alonso, Michael J. Franklin, Wei Hong, Jennifer Widom ICDE 2006
• Operators for Expensive Functions in Continuous Queries. Matthew Denny, Michael J. Franklin ICDE 2006
• Dataspaces: Co-existence with Heterogeneity. David Maier, Alon Y. Halevy, Michael J. Franklin KR 2006
• Declarative Support for Sensor Data Cleaning. Shawn R. Jeffery, Gustavo Alonso, Michael J. Franklin, Wei Hong, Jennifer Widom Pervasive 2006
• Principles of dataspace systems. Alon Y. Halevy, Michael J. Franklin, David Maier PODS 2006
• On-the-fly sharing for streamed aggregation. Sailesh Krishnamurthy, Chung Wu, Michael J. Franklin SIGMOD 2006
• Data-Preservation in Scientific Workflow Middleware. David T. Liu, Michael J. Franklin, Ghaleb Abdulla, Jim Garlick, Marcus Miller SSDBM 2006
• Adaptive Cleaning for RFID Data Streams. Shawn R. Jeffery, Minos N. Garofalakis, Michael J. Franklin VLDB 2006
• Adaptive Execution of Variable-Accuracy Functions. Matthew Denny, Michael J. Franklin VLDB 2006
• Probabilistic Data Management for Pervasive Computing: The Data Furnace Project. Minos N. Garofalakis, Kurt P. Brown, Michael J. Franklin, Joseph M. Hellerstein, Daisy Zhe Wang, Eirinaios Michelakis, Liviu Tancau, Eugene Wu, Shawn R. Jeffery, Ryan Aipperspach IEEE Data Eng. Bull. 2006
• Performance and overhead of semantic cache management. Björn Þór Jónsson, María Arinbjarnar, Bjarnsteinn Þórsson, Michael J. Franklin, Divesh Srivastava ACM Trans. Internet Techn. 2006

2005

• Design Considerations for High Fan-In Systems: The HiFi Approach. Michael J. Franklin, Shawn R. Jeffery, Sailesh Krishnamurthy, Frederick Reiss, Shariq Rizvi, Eugene Wu, Owen Cooper, Anil Edakkunni, Wei Hong CIDR 2005
• Predicate Result Range Caching for Continuous Queries. Matthew Denny, Michael J. Franklin SIGMOD 2005
• Events on the edge. (Tutorial or Abstact) Shariq Rizvi, Shawn R. Jeffery, Sailesh Krishnamurthy, Michael J. Franklin, Nathan Burkhart, Anil Edakkunni, Linus Liang SIGMOD 2005
• Candidates for the upcoming ACM SIGMOD elections. Michael J. Franklin SIGMOD Rec. 2005
• From databases to dataspaces: a new abstraction for information management. Michael J. Franklin, Alon Y. Halevy, David Maier SIGMOD Rec. 2005
• TinyDB: an acquisitional query processing system for sensor networks. Samuel Madden, Michael J. Franklin, Joseph M. Hellerstein, Wei Hong ACM Trans. Database Syst. 2005

2004

• Rethinking the Conference Reviewing Process - Panel. Michael J. Franklin, Jennifer Widom, Gerhard Weikum, Philip A. Bernstein, Alon Y. Halevy, David J. DeWitt, Anastassia Ailamaki, Zachary G. Ives SIGMOD 2004
• Remembrance of Streams Past: Overload-Sensitive Management of Archived Streams. Sirish Chandrasekaran, Michael J. Franklin VLDB 2004
• The Design of GridDB: A Data-Centric Overlay for the Scientific Grid. David T. Liu, Michael J. Franklin VLDB 2004
• Towards an Internet-Scale XML Dissemination Service. Yanlei Diao, Shariq Rizvi, Michael J. Franklin VLDB 2004
• The Case for Precision Sharing. Sailesh Krishnamurthy, Michael J. Franklin, Joseph M. Hellerstein, Garrett Jacobson VLDB 2004
• HiFi: A Unified Architecture for High Fan-in Systems. (Demo) Owen Cooper, Anil Edakkunni, Michael J. Franklin, Wei Hong, Shawn R. Jeffery, Sailesh Krishnamurthy, Frederick Reiss, Shariq Rizvi, Eugene Wu VLDB 2004
• Implementing Memoization in a Streaming XQuery Processor. Yanlei Diao, Daniela Florescu, Donald Kossmann, Michael J. Carey, Michael J. Franklin XSym 2004
• Edison: Database-Supported Synchronization for PDAs. Matthew Denny, Michael J. Franklin Distributed Parallel Databases 2004
• Foreword. Phokion G. Kolaitis, Michael J. Franklin ACM Trans. Database Syst. 2004

2003

• TelegraphCQ: Continuous Dataflow Processing for an Uncertain World. Sirish Chandrasekaran, Owen Cooper, Amol Deshpande, Michael J. Franklin, Joseph M. Hellerstein, Wei Hong, Sailesh Krishnamurthy, Samuel Madden, Vijayshankar Raman, Frederick Reiss, Mehul A. Shah CIDR 2003
• Flux: An Adaptive Partitioning Operator for Continuous Query Systems. Mehul A. Shah, Joseph M. Hellerstein, Sirish Chandrasekaran, Michael J. Franklin ICDE 2003
• Profile-Driven Cache Management. Mitch Cherniack, Eduardo F. Galvez, Michael J. Franklin, Stanley B. Zdonik ICDE 2003
• Mobiscope: A Scalable Spatial Discovery Service for Mobile Network Resources. Matthew Denny, Michael J. Franklin, Paul C. Castro, Apratim Purakayastha Mobile Data Management 2003
• The Design of an Acquisitional Query Processor For Sensor Networks. Samuel Madden, Michael J. Franklin, Joseph M. Hellerstein, Wei Hong SIGMOD 2003
• GridDB: A Database Interface to the Grid. David T. Liu, Michael J. Franklin, Devesh Parekh SIGMOD 2003
• TelegraphCQ: Continuous Dataflow Processing. Sirish Chandrasekaran, Owen Cooper, Amol Deshpande, Michael J. Franklin, Joseph M. Hellerstein, Wei Hong, Sailesh Krishnamurthy, Samuel Madden, Frederick Reiss, Mehul A. Shah SIGMOD 2003
• Query Processing for High-Volume XML Message Brokering. Yanlei Diao, Michael J. Franklin VLDB 2003
• Scheduling for shared window joins over data streams. Moustafa A. Hammad, Michael J. Franklin, Walid G. Aref, Ahmed K. Elmagarmid VLDB 2003
• A Database Striptease or How to Manage Your Personal Databases. (Tutorial or Abstact) Martin L. Kersten, Gerhard Weikum, Michael J. Franklin, Daniel A. Keim, Alejandro P. Buchmann, Surajit Chaudhuri VLDB 2003
• TelegraphCQ: An Architectural Status Report. Sailesh Krishnamurthy, Sirish Chandrasekaran, Owen Cooper, Amol Deshpande, Michael J. Franklin, Joseph M. Hellerstein, Wei Hong, Samuel Madden, Frederick Reiss, Mehul A. Shah IEEE Data Eng. Bull. 2003
• High-Performance XML Filtering: An Overview of YFilter. Yanlei Diao, Michael J. Franklin IEEE Data Eng. Bull. 2003
• Mobile Data Management (Part 2) - The Design of a Scalable Discovery Service for Moving Networked Resources. Matthew Denny, Michael J. Franklin, Paul C. Castro, Apratim Purakayastha IEEE Distributed Syst. Online 2003
• Deno: A Decentralized, Peer-to-Peer Object-Replication System for Weakly Connected Environments. Ugur Çetintemel, Peter J. Keleher, Bobby Bhattacharjee, Michael J. Franklin IEEE Trans. Computers 2003
• Path sharing and predicate evaluation for high-performance XML filtering. Yanlei Diao, Mehmet Altinel, Michael J. Franklin, Hao Zhang, Peter M. Fischer ACM Trans. Database Syst. 2003
• PSoup: a system for streaming queries over streaming data. Sirish Chandrasekaran, Michael J. Franklin VLDB J. 2003

2002

• YFilter: Efficient and Scalable Filtering of XML Documents. (Tutorial or Abstact) Yanlei Diao, Peter M. Fischer, Michael J. Franklin, Raymond To ICDE 2002
• Managing Complex and Varied Data with the IndexFabric(tm). (Tutorial or Abstact) Neal Sample, Brian F. Cooper, Michael J. Franklin, Gísli R. Hjaltason, Moshe Shadmon, Levy Cohe ICDE 2002
• Fjording the Stream: An Architecture for Queries Over Streaming Sensor Data. Samuel Madden, Michael J. Franklin ICDE 2002
• TAG: A Tiny AGgregation Service for Ad-Hoc Sensor Networks. Samuel Madden, Michael J. Franklin, Joseph M. Hellerstein, Wei Hong OSDI 2002
• Extensible Data Management in the Middle-Tier. Brian F. Cooper, Neal Sample, Michael J. Franklin, Moshe Shadmon RIDE 2002
• Streaming Queries over Streaming Data. Sirish Chandrasekaran, Michael J. Franklin VLDB 2002
• Supporting Aggregate Queries Over Ad-Hoc Wireless Sensor Networks. Samuel Madden, Robert Szewczyk, Michael J. Franklin, David E. Culler WMCSA 2002

2001

• Challenges in Ubiquitous Data Management. Michael J. Franklin Informatics 2001
• Design and Evaluation of Redistribution Strategies for Wide-Area Commodity Distribution. Ugur Çetintemel, Banu Özden, Abraham Silberschatz, Michael J. Franklin ICDCS 2001
• Support for Speculative Update Propagation and Mobility in Deno. Ugur Çetintemel, Peter J. Keleher, Michael J. Franklin ICDCS 2001
• Data Staging for On-Demand Broadcast. Demet Aksoy, Michael J. Franklin, Stanley B. Zdonik VLDB 2001
• Data Management for Pervasive Computing. Mitch Cherniack, Michael J. Franklin, Stanley B. Zdonik VLDB 2001
• A Fast Index for Semistructured Data. Brian F. Cooper, Neal Sample, Michael J. Franklin, Gísli R. Hjaltason, Moshe Shadmon VLDB 2001
• Dynamic Pipeline Scheduling for Improving Interactive Query Performance. Tolga Urhan, Michael J. Franklin VLDB 2001
• SIGMOD 2001 Industry Sessions. (Demo) Guy M. Lohman, César A. Galindo-Legaria, Michael J. Franklin, Leonard J. Seligman SIGMOD Rec. 2001
• Java Support for Data-Intensive Systems: Experiences Building the Telegraph Dataflow System. Mehul A. Shah, Samuel Madden, Michael J. Franklin, Joseph M. Hellerstein SIGMOD Rec. 2001
• Expressing user profiles for data recharging. Mitch Cherniack, Michael J. Franklin, Stanley B. Zdonik IEEE Wirel. Commun. 2001
• Middle-Tier Extensible Data Management. Brian F. Cooper, Neal Sample, Michael J. Franklin, Joshua Olshansky, Moshe Shadmon World Wide Web 2001

2000

• Obstacles to Implementation of an Electronic Referral Application. Tejal K. Gandhi, Dean F. Sittig, Michael J. Franklin, David G. Fairchild, Andrew J. Sussman, David W. Bates AMIA 2000
• Self-Adaptive User Profiles for Large-Scale Data Delivery. Ugur Çetintemel, Michael J. Franklin, C. Lee Giles ICDE 2000
• Efficient Filtering of XML Documents for Selective Dissemination of Information. Mehmet Altinel, Michael J. Franklin VLDB 2000
• Adaptive Query Processing: Technology in Evolution. Joseph M. Hellerstein, Michael J. Franklin, Sirish Chandrasekaran, Amol Deshpande, Kris Hildrum, Samuel Madden, Vijayshankar Raman, Mehul A. Shah IEEE Data Eng. Bull. 2000
• XJoin: A Reactively-Scheduled Pipelined Join Operator. Tolga Urhan, Michael J. Franklin IEEE Data Eng. Bull. 2000
• Editor's Notes. Michael J. Franklin SIGMOD Rec. 2000
• Editor's Notes. Michael J. Franklin SIGMOD Rec. 2000
• Editor's Notes. Michael J. Franklin SIGMOD Rec. 2000
• Cache investment: integrating query optimization and distributed data placement. Donald Kossmann, Michael J. Franklin, Gerhard Drasch ACM Trans. Database Syst. 2000

1999

• E-mail Referral Notification Eases Task of Writing Letters to Specialists. Tejal K. Gandhi, Dean F. Sittig, Michael J. Franklin, David G. Fairchild, Andrew J. Sussman, David W. Bates AMIA 1999
• Databases Unplugged: Challenges in Ubiquitous Data Management (Abstract). Michael J. Franklin MDA 1999
• DBIS-Toolkit: Adaptable Middleware for Large Scale Data Delivery. (Tutorial or Abstact) Mehmet Altinel, Demet Aksoy, Thomas Baby, Michael J. Franklin, William Shapiro, Stanley B. Zdonik SIGMOD 1999
• A computer-based outpatient clinical referral system. Dean F. Sittig, Tejal K. Gandhi, Michael J. Franklin, Masha Turetsky, Andrew J. Sussman, David G. Fairchild, David W. Bates, Anthony L. Komaroff, Jonathan M. Teich Int. J. Medical Informatics 1999
• Editor's Notes. Michael J. Franklin SIGMOD Rec. 1999
• Reminiscences on Influential Papers. (Demo) Richard T. Snodgrass, Serge Abiteboul, Sophie Cluet, Michael J. Franklin, Guy M. Lohman, David B. Lomet, Gultekin Özsoyoglu, Raghu Ramakrishnan, Kenneth A. Ross, Timos K. Sellis, Patrick Valduriez SIGMOD Rec. 1999
• Editor's Notes. Michael J. Franklin SIGMOD Rec. 1999
• Editor's Notes. Michael J. Franklin SIGMOD Rec. 1999
• Garbage collection for a client-server persistent object store. Laurent Amsaleg, Michael J. Franklin, Olivier Gruber ACM Trans. Comput. Syst. 1999
• R × W: a scheduling approach for large-scale on-demand data broadcast. Demet Aksoy, Michael J. Franklin IEEE/ACM Trans. Netw. 1999

1998

• Research in Data Broadcast and Dissemination. Demet Aksoy, Mehmet Altinel, Rahul Bose, Ugur Çetintemel, Michael J. Franklin, Jane Wang, Stanley B. Zdonik AMCP 1998
• Modifiable templates facilitate customization of physician order entry. Michael J. Franklin, Dean F. Sittig, J. L. Schmiz, Cynthia Spurr, D. Thomas, Eileen M. O'Connell, Jonathan M. Teich AMIA 1998
• The Outpatient Referral Process: What Is Its Diagnosis and Treatment? Tejal K. Gandhi, Dean F. Sittig, J. Song, Michael J. Franklin, Masha Turetsky, Jonathan M. Teich, Anthony L. Komaroff, David W. Bates AMIA 1998
• Scheduling for Large-Scale On-Demand Data Broadcasting. Demet Aksoy, Michael J. Franklin INFOCOM 1998
• Evaluating Answer Quality/Efficiency Tradeoffs. Ugur Çetintemel, Björn Þór Jónsson, Michael J. Franklin, C. Lee Giles, Divesh Srivastava KRDB 1998
• Design and Development of a Computer-based Clinical Referral System for use within a Physician Hospital Organization. (Demo) Dean F. Sittig, Michael J. Franklin, Masha Turetsky, Andrew J. Sussman, David W. Bates, Anthony L. Komaroff, Jonathan M. Teich MedInfo 1998
• Interaction of Query Evaluation and Buffer Management for Information Retrieval. Björn Þór Jónsson, Michael J. Franklin, Divesh Srivastava SIGMOD 1998
• Cost Based Query Scrambling for Initial Delays. Tolga Urhan, Michael J. Franklin, Laurent Amsaleg SIGMOD 1998
• "Data In Your Face": Push Technology in Perspective. (Demo) Michael J. Franklin, Stanley B. Zdonik SIGMOD 1998
• Dynamic Query Operator Scheduling for Wide-Area Remote Access. Laurent Amsaleg, Michael J. Franklin, Anthony Tomasic Distributed Parallel Databases 1998
• Editor's Notes. Michael J. Franklin SIGMOD Rec. 1998
• Editor's Notes. Michael J. Franklin SIGMOD Rec. 1998
• Editor's Notes. Michael J. Franklin SIGMOD Rec. 1998
• The Asilomar Report on Database Research. Philip A. Bernstein, Michael L. Brodie, Stefano Ceri, David J. DeWitt, Michael J. Franklin, Hector Garcia-Molina, Jim Gray, Gerald Held, Joseph M. Hellerstein, H. V. Jagadish, Michael Lesk, David Maier, Jeffrey F. Naughton, Hamid Pirahesh, Michael Stonebraker, Jeffrey D. Ullman SIGMOD Rec. 1998

1997

• An Easy to Use Tool for Creating and Maintaining User Dialogs. Michael J. Franklin, Dean F. Sittig, Marilyn D. Paterno, Mark Segal, Rita D. Zielstorff, Jonathan M. Teich AMIA 1997
• A Framework for Scalbale Dissemination-Based Systems. Michael J. Franklin, Stanley B. Zdonik OOPSLA 1997
• Balancing Push and Pull for Data Broadcast. Swarup Acharya, Michael J. Franklin, Stanley B. Zdonik SIGMOD 1997
• Letter from the Special Issue Editor. Michael J. Franklin IEEE Data Eng. Bull. 1997
• Improving Responsiveness for Wide-Area Data Access. Laurent Amsaleg, Philippe Bonnet, Michael J. Franklin, Anthony Tomasic, Tolga Urhan IEEE Data Eng. Bull. 1997
• Editor's Notes. Michael J. Franklin SIGMOD Rec. 1997
• Editor's Notes. Michael J. Franklin SIGMOD Rec. 1997
• Editor's Notes. Michael J. Franklin SIGMOD Rec. 1997
• Transactional Client-Server Cache Consistency: Alternatives and Performance. Michael J. Franklin, Michael J. Carey, Miron Livny ACM Trans. Database Syst. 1997
• Adaptive, Fine-Grained Sharing in a Client-Server OODBMS: A Callback-Based Approach. Markos Zaharioudakis, Michael J. Carey, Michael J. Franklin ACM Trans. Database Syst. 1997

1996

• Prefetching from Broadcast Disks. Swarup Acharya, Michael J. Franklin, Stanley B. Zdonik ICDE 1996
• Scrambling Query Plans to Cope With Unexpected Delays. Laurent Amsaleg, Michael J. Franklin, Anthony Tomasic, Tolga Urhan PDIS 1996
• Performance Tradeoffs for Client-Server Query Processing. Michael J. Franklin, Björn Þór Jónsson, Donald Kossmann SIGMOD 1996
• Semantic Data Caching and Replacement. Shaul Dar, Michael J. Franklin, Björn Þór Jónsson, Divesh Srivastava, Michael Tan VLDB 1996
• Disseminating Updates on Broadcast Disks. Swarup Acharya, Michael J. Franklin, Stanley B. Zdonik VLDB 1996
• Letter from the Special Issue Editor. Michael J. Franklin IEEE Data Eng. Bull. 1996
• Dissemination-Based Information Systems. Michael J. Franklin, Stanley B. Zdonik IEEE Data Eng. Bull. 1996

1995

• Broadcast Disks: Data Management for Asymmetric Communications Environments. Swarup Acharya, Rafael Alonso, Michael J. Franklin, Stanley B. Zdonik SIGMOD 1995
• Efficient Incremental Garbage Collection for Client-Server Object Database Systems. Laurent Amsaleg, Michael J. Franklin, Olivier Gruber VLDB 1995
• Dissemination-based data delivery using broadcast disks. Swarup Acharya, Michael J. Franklin, Stanley B. Zdonik IEEE Wirel. Commun. 1995

1994

• Broadcast Disks: Data Management for Asymmetric Communication Environments. Swarup Acharya, Rafael Alonso, Michael J. Franklin, Stanley B. Zdonik Mobidata 1994
• Fine-Grained Sharing in a Page Server OODBMS. Michael J. Carey, Michael J. Franklin, Markos Zaharioudakis SIGMOD 1994
• Shoring Up Persistent Applications. Michael J. Carey, David J. DeWitt, Michael J. Franklin, Nancy E. Hall, Mark L. McAuliffe, Jeffrey F. Naughton, Daniel T. Schuh, Marvin H. Solomon, C. K. Tan, Odysseas G. Tsatalos, Seth J. White, Michael J. Zwilling SIGMOD 1994
• Are "Disks in the Air" Just Pie in the Sky? Stanley B. Zdonik, Michael J. Franklin, Rafael Alonso, Swarup Acharya WMCSA 1994

1993

• Exploiting Client Resources through Caching. Michael J. Franklin HPTS 1993
• Local Disk Caching for Client-Server Database Systems. Michael J. Franklin, Michael J. Carey, Miron Livny VLDB 1993

1992

• Client-Server Caching Revisited. Michael J. Franklin, Michael J. Carey IWDOM 1992
• Crash Recovery in Client-Server EXODUS. Michael J. Franklin, Michael J. Zwilling, C. K. Tan, Michael J. Carey, David J. DeWitt SIGMOD 1992
• Global Memory Management in Client-Server Database Architectures. Michael J. Franklin, Michael J. Carey, Miron Livny VLDB 1992
• Zero cost testing of check bits in RAMs with on-chip ECC. Parameswaran Ramanathan, Kewal K. Saluja, Michael J. Franklin VTS 1992

1991

• Data Caching Tradeoffs in Client-Server DBMS Architectures. Michael J. Carey, Michael J. Franklin, Miron Livny, Eugene J. Shekita SIGMOD 1991

1990

• Uniform Object Management. George P. Copeland, Michael J. Franklin, Gerhard Weikum EDBT 1990
• Storage management for persistent complex objects. Setrag Khoshafian, Michael J. Franklin, Michael J. Carey Inf. Syst. 1990
• Prototyping Bubba, A Highly Parallel Database System. Haran Boral, William Alexander, Larry Clay, George P. Copeland, Scott Danforth, Michael J. Franklin, Brian E. Hart, Marc G. Smith, Patrick Valduriez IEEE Trans. Knowl. Data Eng. 1990