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ORCIDJoseph M. Hellerstein
Person information
- affiliation: University of California, Berkeley, CA, USA
- affiliation (PhD): University of Wisconsin-Madison, Madison, WI, USA
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2020 – today
- 2024
[j91]Shreya Shankar
, Rolando Garcia, Joseph M. Hellerstein, Aditya G. Parameswaran:
"We Have No Idea How Models will Behave in Production until Production": How Engineers Operationalize Machine Learning. Proc. ACM Hum. Comput. Interact. 8(CSCW1): 1-34 (2024)- [j90]David C. Y. Chu, Rithvik Panchapakesan, Shadaj Laddad, Lucky E. Katahanas, Chris Liu, Kaushik Shivakumar, Natacha Crooks, Joseph M. Hellerstein, Heidi Howard:
Optimizing Distributed Protocols with Query Rewrites. Proc. ACM Manag. Data 2(1): 2:1-2:25 (2024) - [j89]Tiemo Bang, Chris Douglas, Natacha Crooks, Joseph M. Hellerstein:
SkyPIE: A Fast & Accurate Oracle for Object Placement. Proc. ACM Manag. Data 2(1): 55:1-55:27 (2024) - [j88]Joseph M. Hellerstein:
Learning to Restructure Tables Automatically. SIGMOD Rec. 53(1): 75 (2024) - [c152]Tiemo Bang, Conor Power, Siavash Ameli, Natacha Crooks, Joseph M. Hellerstein:
Optimizing the cloud? Don't train models. Build oracles! CIDR 2024 - [c151]Conor Power, Saikrishna Achalla, Ryan Cottone, Nathaniel Macasaet, Joseph M. Hellerstein:
Wrapping Rings in Lattices: An Algebraic Symbiosis of Incremental View Maintenance and Eventual Consistency. PaPoC@EuroSys 2024: 15-22 - [c150]David C. Y. Chu, Chris Liu, Natacha Crooks, Joseph M. Hellerstein, Heidi Howard:
Bigger, not Badder: Safely Scaling BFT Protocols. PaPoC@EuroSys 2024: 30-36 - [i52]Shreya Shankar, Rolando Garcia, Joseph M. Hellerstein, Aditya G. Parameswaran:
"We Have No Idea How Models will Behave in Production until Production": How Engineers Operationalize Machine Learning. CoRR abs/2403.16795 (2024) - [i51]David Chu, Rithvik Panchapakesan, Shadaj Laddad, Lucky Katahanas, Chris Liu, Kaushik Shivakumar, Natacha Crooks, Joseph M. Hellerstein, Heidi Howard:
Optimizing Distributed Protocols with Query Rewrites [Technical Report]. CoRR abs/2404.01593 (2024) - [i50]Shadaj Laddad, Alvin Cheung, Joseph M. Hellerstein:
Suki: Choreographed Distributed Dataflow in Rust. CoRR abs/2406.14733 (2024) - [i49]Rolando Garcia, Pragya Kallanagoudar, Chithra Anand, Sarah E. Chasins, Joseph M. Hellerstein, Aditya G. Parameswaran:
Flow with FlorDB: Incremental Context Maintenance for the Machine Learning Lifecycle. CoRR abs/2408.02498 (2024) - 2023
- [j87]Sarah Wooders, Xiangxi Mo, Amit Narang, Kevin Lin, Ion Stoica, Joseph M. Hellerstein, Natacha Crooks, Joseph E. Gonzalez:
RALF: Accuracy-Aware Scheduling for Feature Store Maintenance. Proc. VLDB Endow. 17(3): 563-576 (2023) - [c149]Joseph M. Hellerstein, Shadaj Laddad, Mae Milano, Conor Power, Mingwei Samuel:
Invited Paper: Initial Steps Toward a Compiler for Distributed Programs. ApPLIED@PODC 2023: 5:1-5:10 - [c148]Audrey Cheng, David C. Y. Chu, Terrance Li, Jason Chan, Natacha Crooks, Joseph M. Hellerstein, Ion Stoica, Xiangyao Yu:
Take Out the TraChe: Maximizing (Tra)nsactional Ca(che) Hit Rate. OSDI 2023: 419-439 - [i48]Joseph M. Hellerstein, Shadaj Laddad, Mae Milano, Conor Power, Mingwei Samuel:
Invited Paper: Initial Steps Toward a Compiler for Distributed Programs. CoRR abs/2305.14614 (2023) - [i47]Shadaj Laddad, Conor Power, Tyler Hou, Alvin Cheung, Joseph M. Hellerstein:
Optimizing Stateful Dataflow with Local Rewrites. CoRR abs/2306.10585 (2023) - [i46]Tiemo Bang, Conor Power, Siavash Ameli, Natacha Crooks, Joseph M. Hellerstein:
Optimizing the cloud? Don't train models. Build oracles! CoRR abs/2308.06815 (2023) - [i45]Rolando Garcia, Anusha Dandamudi, Gabriel Matute, Lehan Wan, Joseph Gonzalez, Joseph M. Hellerstein, Koushik Sen:
Multiversion Hindsight Logging for Continuous Training. CoRR abs/2310.07898 (2023) - 2022
- [j86]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:
The Seattle report on database research. Commun. ACM 65(8): 72-79 (2022) - [j85]Shadaj Laddad, Conor Power, Mae Milano, Alvin Cheung, Joseph M. Hellerstein:
Katara: synthesizing CRDTs with verified lifting. Proc. ACM Program. Lang. 6(OOPSLA2): 1349-1377 (2022) - [j84]Magdalena Balazinska, Surajit Chaudhuri, AnHai Doan, Joseph M. Hellerstein, Hanuma Kodavalla, Ippokratis Pandis, Matei Zaharia:
Cloud Data Systems: What are the Opportunities for the Database Research Community? Proc. VLDB Endow. 15(12): 3826-3827 (2022) - [j83]Shadaj Laddad, Conor Power, Mae Milano, Alvin Cheung, Natacha Crooks, Joseph M. Hellerstein:
Keep CALM and CRDT On. Proc. VLDB Endow. 16(4): 856-863 (2022) - [j82]Yifan Wu, Remco Chang, Joseph M. Hellerstein, Arvind Satyanarayan, Eugene Wu:
DIEL: Interactive Visualization Beyond the Here and Now. IEEE Trans. Vis. Comput. Graph. 28(1): 737-746 (2022) - [c147]Joseph M. Hellerstein, Aditya G. Parameswaran:
Piloting Data Engineering at Berkeley. DataEd@SIGMOD 2022: 38-43 - [i44]Sarah E. Chasins, Alvin Cheung, Natacha Crooks, Ali Ghodsi, Ken Goldberg, Joseph E. Gonzalez, Joseph M. Hellerstein, Michael I. Jordan, Anthony D. Joseph, Michael W. Mahoney, Aditya G. Parameswaran, David A. Patterson, Raluca Ada Popa, Koushik Sen, Scott Shenker, Dawn Song, Ion Stoica:
The Sky Above The Clouds. CoRR abs/2205.07147 (2022) - [i43]Shadaj Laddad, Conor Power, Mae Milano, Alvin Cheung, Joseph M. Hellerstein:
Synthesizing CRDTs from Sequential Data Types with Verified Lifting. CoRR abs/2205.12425 (2022) - [i42]Shreya Shankar, Rolando Garcia, Joseph M. Hellerstein, Aditya G. Parameswaran:
Operationalizing Machine Learning: An Interview Study. CoRR abs/2209.09125 (2022) - [i41]Shadaj Laddad, Conor Power, Mae Milano, Alvin Cheung, Natacha Crooks, Joseph M. Hellerstein:
Keep CALM and CRDT On. CoRR abs/2210.12605 (2022) - 2021
- [j81]Doris Xin, Devin Petersohn, Dixin Tang, Yifan Wu, Joseph E. Gonzalez, Joseph M. Hellerstein, Anthony D. Joseph, Aditya G. Parameswaran:
Enhancing the Interactivity of Dataframe Queries by Leveraging Think Time. IEEE Data Eng. Bull. 44(1): 66-78 (2021) - [j80]Michael J. Whittaker, Neil Giridharan, Adriana Szekeres, Joseph M. Hellerstein, Heidi Howard, Faisal Nawab, Ion Stoica:
[Solution] Matchmaker Paxos: A Reconfigurable Consensus Protocol. J. Syst. Res. 1(1) (2021) - [j79]Michael J. Whittaker, Neil Giridharan, Adriana Szekeres, Joseph M. Hellerstein, Ion Stoica:
SoK: A Generalized Multi-Leader State Machine Replication Tutorial. J. Syst. Res. 1(1) (2021) - [j78]Michael J. Whittaker, Ailidani Ailijiang, Aleksey Charapko, Murat Demirbas, Neil Giridharan, Joseph M. Hellerstein, Heidi Howard, Ion Stoica, Adriana Szekeres:
Scaling Replicated State Machines with Compartmentalization. Proc. VLDB Endow. 14(11): 2203-2215 (2021) - [j77]Chenggang Wu, Jose M. Faleiro, Yihan Lin, Joseph M. Hellerstein:
Anna: A KVS for Any Scale. IEEE Trans. Knowl. Data Eng. 33(2): 344-358 (2021) - [j76]Chenggang Wu, Vikram Sreekanti, Joseph M. Hellerstein:
Autoscaling tiered cloud storage in Anna. VLDB J. 30(1): 25-43 (2021) - [j75]Michael J. Whittaker, Joseph M. Hellerstein:
Interactive checks for coordination avoidance. VLDB J. 30(1): 71-92 (2021) - [c146]Alvin Cheung, Natacha Crooks, Joseph M. Hellerstein, Mae Milano:
New Directions in Cloud Programming. CIDR 2021 - [c145]Michael J. Whittaker, Aleksey Charapko, Joseph M. Hellerstein, Heidi Howard, Ion Stoica:
Read-Write Quorum Systems Made Practical. PaPoC@EuroSys 2021: 7:1-7:8 - [c144]Raghav Anand, Jeffrey Ichnowski, Chenggang Wu, Joseph M. Hellerstein, Joseph E. Gonzalez, Ken Goldberg:
Serverless Multi-Query Motion Planning for Fog Robotics. ICRA 2021: 7457-7463 - [c143]Rishabh Poddar, Sukrit Kalra, Avishay Yanai, Ryan Deng, Raluca Ada Popa, Joseph M. Hellerstein:
Senate: A Maliciously-Secure MPC Platform for Collaborative Analytics. USENIX Security Symposium 2021: 2129-2146 - [i40]Alvin Cheung, Natacha Crooks, Joseph M. Hellerstein, Mae Milano:
New Directions in Cloud Programming. CoRR abs/2101.01159 (2021) - [i39]Doris Xin, Devin Petersohn, Dixin Tang, Yifan Wu, Joseph E. Gonzalez, Joseph M. Hellerstein, Anthony D. Joseph, Aditya G. Parameswaran:
Enhancing the Interactivity of Dataframe Queries by Leveraging Think Time. CoRR abs/2103.02145 (2021) - [i38]Michael J. Whittaker, Aleksey Charapko, Joseph M. Hellerstein, Heidi Howard, Ion Stoica:
Read-Write Quorum Systems Made Practical. CoRR abs/2104.04102 (2021) - 2020
- [j74]Joseph M. Hellerstein, Peter Alvaro:
Keeping CALM: when distributed consistency is easy. Commun. ACM 63(9): 72-81 (2020) - [j73]Devin Petersohn, William W. Ma, Doris Jung Lin Lee, Stephen Macke, Doris Xin, Xiangxi Mo, Joseph Gonzalez, Joseph M. Hellerstein, Anthony D. Joseph, Aditya G. Parameswaran:
Towards Scalable Dataframe Systems. Proc. VLDB Endow. 13(11): 2033-2046 (2020) - [j72]Vikram Sreekanti, Chenggang Wu, Xiayue Charles Lin, Johann Schleier-Smith, Joseph Gonzalez, Joseph M. Hellerstein, Alexey Tumanov:
Cloudburst: Stateful Functions-as-a-Service. Proc. VLDB Endow. 13(11): 2438-2452 (2020) - [j71]Peter Bailis, Magda Balazinska, Xin Luna Dong, Juliana Freire, Raghu Ramakrishnan, Michael Stonebraker, Joseph M. Hellerstein:
Winds from Seattle: Database Research Directions. Proc. VLDB Endow. 13(12): 3516 (2020) - [j70]Rolando Garcia, Eric Liu, Vikram Sreekanti, Bobby Yan, Anusha Dandamudi, Joseph Gonzalez, Joseph M. Hellerstein, Koushik Sen:
Hindsight Logging for Model Training. Proc. VLDB Endow. 14(4): 682-693 (2020) - [j69]Michael J. Whittaker, Joseph M. Hellerstein:
Checking Invariant Confluence, In Whole or In Parts. SIGMOD Rec. 49(1): 7-14 (2020) - [c142]Noah M. Johnson, Joseph P. Near, Joseph M. Hellerstein, Dawn Song:
Chorus: a Programming Framework for Building Scalable Differential Privacy Mechanisms. EuroS&P 2020: 535-551 - [c141]Vikram Sreekanti, Chenggang Wu, Saurav Chhatrapati, Joseph E. Gonzalez, Joseph M. Hellerstein, Jose M. Faleiro:
A fault-tolerance shim for serverless computing. EuroSys 2020: 15:1-15:15 - [c140]Xiayue Charles Lin, Joseph E. Gonzalez, Joseph M. Hellerstein:
Serverless Boom or Bust? An Analysis of Economic Incentives. HotCloud 2020 - [c139]Chenggang Wu, Vikram Sreekanti, Joseph M. Hellerstein:
Transactional Causal Consistency for Serverless Computing. SIGMOD Conference 2020: 83-97 - [c138]Yifan Wu, Joseph M. Hellerstein, Arvind Satyanarayan:
B2: Bridging Code and Interactive Visualization in Computational Notebooks. UIST 2020: 152-165 - [c137]Yifan Wu, Remco Chang, Joseph M. Hellerstein, Eugene Wu:
Facilitating Exploration with Interaction Snapshots under High Latency. IEEE VIS (Short Papers) 2020: 136-140 - [i37]Devin Petersohn, William W. Ma, Doris Jung Lin Lee, Stephen Macke, Doris Xin, Xiangxi Mo, Joseph E. Gonzalez, Joseph M. Hellerstein, Anthony D. Joseph, Aditya G. Parameswaran:
Towards Scalable Dataframe Systems. CoRR abs/2001.00888 (2020) - [i36]Vikram Sreekanti, Chenggang Wu, Xiayue Charles Lin, Johann Schleier-Smith, Jose M. Faleiro, Joseph E. Gonzalez, Joseph M. Hellerstein, Alexey Tumanov:
Cloudburst: Stateful Functions-as-a-Service. CoRR abs/2001.04592 (2020) - [i35]Michael J. Whittaker, Neil Giridharan, Adriana Szekeres, Joseph M. Hellerstein, Ion Stoica:
Bipartisan Paxos: A Modular State Machine Replication Protocol. CoRR abs/2003.00331 (2020) - [i34]Vikram Sreekanti, Chenggang Wu, Saurav Chhatrapati, Joseph E. Gonzalez, Joseph M. Hellerstein, Jose M. Faleiro:
A Fault-Tolerance Shim for Serverless Computing. CoRR abs/2003.06007 (2020) - [i33]Rolando Garcia, Eric Liu, Vikram Sreekanti, Bobby Yan, Anusha Dandamudi, Joseph E. Gonzalez, Joseph M. Hellerstein, Koushik Sen:
Hindsight Logging for Model Training. CoRR abs/2006.07357 (2020) - [i32]Vikram Sreekanti, Harikaran Subbaraj, Chenggang Wu, Joseph E. Gonzalez, Joseph M. Hellerstein:
Optimizing Prediction Serving on Low-Latency Serverless Dataflow. CoRR abs/2007.05832 (2020) - [i31]Michael J. Whittaker, Neil Giridharan, Adriana Szekeres, Joseph M. Hellerstein, Heidi Howard, Faisal Nawab, Ion Stoica:
Matchmaker Paxos: A Reconfigurable Consensus Protocol [Technical Report]. CoRR abs/2007.09468 (2020) - [i30]Johann Schleier-Smith, Leonhard Holz, Nathan Pemberton, Joseph M. Hellerstein:
A FaaS File System for Serverless Computing. CoRR abs/2009.09845 (2020) - [i29]Rishabh Poddar, Sukrit Kalra, Avishay Yanai, Ryan Deng, Raluca Ada Popa, Joseph M. Hellerstein:
Senate: A Maliciously-Secure MPC Platform for Collaborative Analytics. CoRR abs/2010.13752 (2020) - [i28]Michael J. Whittaker, Ailidani Ailijiang, Aleksey Charapko, Murat Demirbas, Neil Giridharan, Joseph M. Hellerstein, Heidi Howard, Ion Stoica, Adriana Szekeres:
Scaling Replicated State Machines with Compartmentalization [Technical Report]. CoRR abs/2012.15762 (2020) - [i27]Rishabh Poddar, Sukrit Kalra, Avishay Yanai, Ryan Deng, Raluca Ada Popa, Joseph M. Hellerstein:
Senate: A Maliciously-Secure MPC Platform for Collaborative Analytics. IACR Cryptol. ePrint Arch. 2020: 1350 (2020)
2010 – 2019
- 2019
- [j68]Chenggang Wu, Vikram Sreekanti, Joseph M. Hellerstein:
Autoscaling Tiered Cloud Storage in Anna. Proc. VLDB Endow. 12(6): 624-638 (2019) - [j67]Zongheng Yang, Eric Liang, Amog Kamsetty, Chenggang Wu, Yan Duan, Xi Chen, Pieter Abbeel, Joseph M. Hellerstein, Sanjay Krishnan, Ion Stoica:
Deep Unsupervised Cardinality Estimation. Proc. VLDB Endow. 13(3): 279-292 (2019) - [j66]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:
The Seattle Report on Database Research. SIGMOD Rec. 48(4): 44-53 (2019) - [c136]Joseph M. Hellerstein, Jose M. Faleiro, Joseph Gonzalez, Johann Schleier-Smith, Vikram Sreekanti, Alexey Tumanov, Chenggang Wu:
Serverless Computing: One Step Forward, Two Steps Back. CIDR 2019 - [c135]Zhongjun Jin, Michael J. Cafarella, H. V. Jagadish, Sean Kandel, Michael Minar, Joseph M. Hellerstein:
CLX: Towards verifiable PBE data transformation. EDBT 2019: 265-276 - [p1]Joseph M. Hellerstein:
Looking back at Postgres. Making Databases Work 2019: 205-224 - [r3]Jeffrey Heer, Joseph M. Hellerstein, Sean Kandel:
Data Wrangling. Encyclopedia of Big Data Technologies 2019 - [i26]Joseph M. Hellerstein, Peter Alvaro:
Keeping CALM: When Distributed Consistency is Easy. CoRR abs/1901.01930 (2019) - [i25]Joseph M. Hellerstein:
Looking Back at Postgres. CoRR abs/1901.01973 (2019) - [i24]Zongheng Yang, Eric Liang, Amog Kamsetty, Chenggang Wu, Yan Duan, Xi Chen, Pieter Abbeel, Joseph M. Hellerstein, Sanjay Krishnan, Ion Stoica:
Selectivity Estimation with Deep Likelihood Models. CoRR abs/1905.04278 (2019) - [i23]Yifan Wu, Remco Chang, Eugene Wu, Joseph M. Hellerstein:
DIEL: Transparent Scaling for Interactive Visualization. CoRR abs/1907.00062 (2019) - [i22]Yifan Wu, Remco Chang, Eugene Wu, Joseph M. Hellerstein:
Programming with Timespans in Interactive Visualizations. CoRR abs/1907.00075 (2019) - 2018
- [j65]Joseph M. Hellerstein, Jeffrey Heer, Sean Kandel:
Self-Service Data Preparation: Research to Practice. IEEE Data Eng. Bull. 41(2): 23-34 (2018) - [j64]Michael J. Whittaker, Joseph M. Hellerstein:
Interactive Checks for Coordination Avoidance. Proc. VLDB Endow. 12(1): 14-27 (2018) - [c134]Michael J. Whittaker, Cristina Teodoropol, Peter Alvaro, Joseph M. Hellerstein:
Debugging Distributed Systems with Why-Across-Time Provenance. SoCC 2018: 333-346 - [c133]Chenggang Wu, Jose M. Faleiro, Yihan Lin, Joseph M. Hellerstein:
Anna: A KVS for Any Scale. ICDE 2018: 401-412 - [r2]Joseph M. Hellerstein:
Generalized Search Tree. Encyclopedia of Database Systems (2nd ed.) 2018 - [i21]Yifan Wu, Larry Xu, Remco Chang, Joseph M. Hellerstein, Eugene Wu:
Making Sense of Asynchrony in Interactive Data Visualizations. CoRR abs/1806.01499 (2018) - [i20]Sanjay Krishnan, Zongheng Yang, Ken Goldberg, Joseph M. Hellerstein, Ion Stoica:
Learning to Optimize Join Queries With Deep Reinforcement Learning. CoRR abs/1808.03196 (2018) - [i19]Chenggang Wu, Vikram Sreekanti, Joseph M. Hellerstein:
Eliminating Boundaries in Cloud Storage with Anna. CoRR abs/1809.00089 (2018) - [i18]Noah M. Johnson, Joseph P. Near, Joseph M. Hellerstein, Dawn Song:
Chorus: Differential Privacy via Query Rewriting. CoRR abs/1809.07750 (2018) - [i17]Joseph M. Hellerstein, Jose M. Faleiro, Joseph E. Gonzalez, Johann Schleier-Smith, Vikram Sreekanti, Alexey Tumanov, Chenggang Wu:
Serverless Computing: One Step Forward, Two Steps Back. CoRR abs/1812.03651 (2018) - 2017
- [j63]Jose M. Faleiro, Daniel Abadi, Joseph M. Hellerstein:
High Performance Transactions via Early Write Visibility. Proc. VLDB Endow. 10(5): 613-624 (2017) - [j62]Meraj Ahmed Khan, Larry Xu, Arnab Nandi, Joseph M. Hellerstein:
Data Tweening: Incremental Visualization of Data Transforms. Proc. VLDB Endow. 10(6): 661-672 (2017) - [j61]Meraj Ahmed Khan, Larry Xu, Arnab Nandi, Joseph M. Hellerstein:
DataTweener: A Demonstration of a Tweening Engine for Incremental Visualization of Data Transforms. Proc. VLDB Endow. 10(12): 1953-1956 (2017) - [j60]Peter Alvaro, Neil Conway, Joseph M. Hellerstein, David Maier:
Blazes: Coordination Analysis and Placement for Distributed Programs. ACM Trans. Database Syst. 42(4): 23:1-23:31 (2017) - [c132]Joseph M. Hellerstein, Vikram Sreekanti, Joseph E. Gonzalez, James Dalton, Akon Dey, Sreyashi Nag, Krishna Ramachandran, Sudhanshu Arora, Arka Bhattacharyya, Shirshanka Das, Mark Donsky, Gabriel Fierro, Chang She, Carl Steinbach, Venkat Subramanian, Eric Sun:
Ground: A Data Context Service. CIDR 2017 - [c131]Chenggang Wu, Jose M. Faleiro, Yihan Lin, Joseph M. Hellerstein:
Indy: a software system for the dense cloud. SoCC 2017: 650 - [e5]Carsten Binnig, Joseph M. Hellerstein, Aditya G. Parameswaran:
Proceedings of the 2nd Workshop on Human-In-the-Loop Data Analytics, HILDA@SIGMOD 2017, Chicago, IL, USA, May 14, 2017. ACM 2017, ISBN 978-1-4503-5029-7 [contents] - [i16]Ion Stoica, Dawn Song, Raluca Ada Popa, David A. Patterson, Michael W. Mahoney, Randy H. Katz, Anthony D. Joseph, Michael I. Jordan, Joseph M. Hellerstein, Joseph E. Gonzalez, Ken Goldberg, Ali Ghodsi, David E. Culler, Pieter Abbeel:
A Berkeley View of Systems Challenges for AI. CoRR abs/1712.05855 (2017) - 2016
- [j59]Daniel 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:
The Beckman report on database research. Commun. ACM 59(2): 92-99 (2016) - [j58]Peter Bailis, Alan D. Fekete, Ali Ghodsi, Joseph M. Hellerstein, Ion Stoica:
Scalable Atomic Visibility with RAMP Transactions. ACM Trans. Database Syst. 41(3): 15:1-15:45 (2016) - [j57]Tom J. Ameloot, Jan Van den Bussche, William R. Marczak, Peter Alvaro, Joseph M. Hellerstein:
Putting logic-based distributed systems on stable grounds. Theory Pract. Log. Program. 16(4): 378-417 (2016) - [c130]Johann Schleier-Smith, Erik T. Krogen, Joseph M. Hellerstein:
ReStream: Accelerating Backtesting and Stream Replay with Serial-Equivalent Parallel Processing. SoCC 2016: 334-347 - [c129]Joseph M. Hellerstein:
People, Computers, and The Hot Mess of Real Data. KDD 2016: 7 - [c128]Yifan Wu, Joseph M. Hellerstein, Eugene Wu:
A DeVIL-ish approach to inconsistency in interactive visualizations. HILDA@SIGMOD 2016: 15 - [i15]Joseph M. Hellerstein:
Naughton's Wisconsin Bibliography: A Brief Guide. CoRR abs/1605.05566 (2016) - 2015
- [c127]Jeffrey Heer, Joseph M. Hellerstein, Sean Kandel:
Predictive Interaction for Data Transformation. CIDR 2015 - [c126]Joseph M. Hellerstein:
Data, Technology and the Challenges of Abundance. CIDR 2015 - [c125]Peter Alvaro, Joshua Rosen, Joseph M. Hellerstein:
Lineage-driven Fault Injection. SIGMOD Conference 2015: 331-346 - [c124]Peter Bailis, Alan D. Fekete, Michael J. Franklin, Ali Ghodsi, Joseph M. Hellerstein, Ion Stoica:
Feral Concurrency Control: An Empirical Investigation of Modern Application Integrity. SIGMOD Conference 2015: 1327-1342 - [e4]Peter Bailis, Joseph M. Hellerstein, Michael Stonebraker:
Readings in Database Systems, 5th Edition. 2015 - [i14]Tom J. Ameloot, Jan Van den Bussche, William R. Marczak, Peter Alvaro, Joseph M. Hellerstein:
Putting Logic-Based Distributed Systems on Stable Grounds. CoRR abs/1507.05539 (2015) - [i13]Joseph E. Gonzalez, Peter Bailis, Michael I. Jordan, Michael J. Franklin, Joseph M. Hellerstein, Ali Ghodsi, Ion Stoica:
Asynchronous Complex Analytics in a Distributed Dataflow Architecture. CoRR abs/1510.07092 (2015) - 2014
- [j56]Peter Bailis, Shivaram Venkataraman, Michael J. Franklin, Joseph M. Hellerstein, Ion Stoica:
Quantifying eventual consistency with PBS. Commun. ACM 57(8): 93-102 (2014) - [j55]Neil Conway, Peter Alvaro, Emily Andrews, Joseph M. Hellerstein:
Edelweiss: Automatic Storage Reclamation for Distributed Programming. Proc. VLDB Endow. 7(6): 481-492 (2014) - [j54]Peter Bailis, Alan D. Fekete, Michael J. Franklin, Ali Ghodsi, Joseph M. Hellerstein, Ion Stoica:
Coordination Avoidance in Database Systems. Proc. VLDB Endow. 8(3): 185-196 (2014) - [j53]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:
The Beckman Report on Database Research. SIGMOD Rec. 43(3): 61-70 (