DDS: DPU-optimized Disaggregated Storage [Extended Report]
Qizhen Zhang, Phil Bernstein, Badrish Chandramouli, Jason Hu, Yiming Zheng
VLDB 2024 | August 2024
Badrish Chandramouli
Partner Research Manager
Papiers de Collaboration
Publications par année
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Selection Pushdown in Column Stores using Bit Manipulation Instructions
Yinan Li, Jianan Lu, Badrish Chandramouli
2023 ACM SIGMOD Conference | June 2023
Escapement: A Tool for Interactive Prototyping with Video via Sensor-Mediated Abstraction of Time
Molly Jane Nicholas, Nicolai Marquardt, Michel Pahud, Nathalie Henry Riche, Hugo Romat, Christopher Collins, David Ledo, Rohan Kadekodi, Badrish Chandramouli, Ken Hinckley
CHI '23: Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems | April 2023
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Netherite: Efficient Execution of Serverless Workflows
Sebastian Burckhardt, Badrish Chandramouli, Chris Gillum, David Justo, Konstantinos Kallas, Connor McMahon, Christopher S. Meiklejohn, Xiangfeng Zhu
VLDB 2022 | April 2022
CompuCache: Remote Computable Caching using Spot VMs
Qizhen Zhang, Phil Bernstein, Daniel S. Berger, Badrish Chandramouli, Boon Thao Loo, Vincent Liu
Conference on Innovative Data Systems Research (CIDR 2022) | January 2022
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Redy: Remote Dynamic Memory Cache
Qizhen Zhang, Phil Bernstein, Daniel Berger (daberg), Badrish Chandramouli
VLDB 2022 | December 2021
Crystal: A Unified Cache Storage System for Analytical Databases
Dominik Durner, Badrish Chandramouli, Yinan Li
Proceedings of the VLDB Endowment | August 2021
Optimization of threshold functions over streams
Walter Cai, Phil Bernstein, Wentao Wu, Badrish Chandramouli
Proceedings of the VLDB Endowment (VLDB 2021) | August 2021
FastVer: Making Data Integrity a Commodity
Arvind Arasu, Aseem Rastogi, Badrish Chandramouli, Donald Kossmann, Esha Ghosh, Johannes Gehrke, Nikhil Swamy, Jonathan Protzenko, Ravi Ramamurthy, Srinath Setty, Tahina Ramananandro, Alexander van Renen, Min Xu
SIGMOD | June 2021
Asynchronous Prefix Recoverability for Fast Distributed Stores
Tianyu Li, Badrish Chandramouli, Jose Faleiro, Donald Kossmann, Sam Madden
SIGMOD 2021 | June 2021
Instance-Optimized Data Layouts for Cloud Analytics Workloads
Jialin Ding, Umar Farooq Minhas, Badrish Chandramouli, Chi Wang, Yinan Li, Ying Li, Donald Kossmann, Johannes Gehrke, Tim Kraska
SIGMOD 2021 | June 2021
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SurfaceFleet: Exploring Distributed Interactions Unbounded from Device, Application, User, and Time (UIST 2020 Paper)
Frederik Brudy, David Ledo, Michel Pahud, Nathalie Henry Riche, Christian Holz, Anand Waghmare, Hemant Surale, Marcus Peinado, Xiaokuan Zhang, Shannon Joyner, Badrish Chandramouli, Umar Farooq Minhas, Jonathan Goldstein, Bill Buxton, Ken Hinckley
Proceedings of the 33rd Annual Symposium on User Interface Software and Technology (UIST '20) | October 2020
Achieving High Throughput and Elasticity in a Larger-than-Memory Store
Chinmay Kulkarni, Badrish Chandramouli, Ryan Stutsman
PVLDB, 14(8), 2021 | June 2020
Qd-tree: Learning Data Layouts for Big Data Analytics
Zongheng Yang, Badrish Chandramouli, Chi Wang, Johannes Gehrke, Yinan Li, Umar Farooq Minhas, Per-Ake Larson, Donald Kossmann, Rajeev Acharya
SIGMOD 2020 | June 2020
ALEX: An Updatable Adaptive Learned Index
Jialin Ding, Umar Farooq Minhas, Jia Yu, Chi Wang, Jaeyoung Do, Yinan Li, Hantian Zhang, Badrish Chandramouli, Johannes Gehrke, Donald Kossmann, David Lomet, Tim Kraska
MSR-TR-2020-12 | May 2020
Publié par Microsoft
SIGMOD 2020 | June 2020
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FishStore: Fast Ingestion and Indexing of Raw Data
Badrish Chandramouli, Dong Xie, Yinan Li, Donald Kossmann
PVLDB Vol. 12 No. 12 | August 2019
Demo paper
Concurrent Prefix Recovery: Performing CPR on a Database
Guna Prasaad, Badrish Chandramouli, Donald Kossmann
2019 ACM SIGMOD Conference | June 2019
FishStore: Faster Ingestion with Subset Hashing
Dong Xie, Badrish Chandramouli, Yinan Li, Donald Kossmann
2019 ACM SIGMOD Conference | June 2019
Speculative Distributed CSV Data Parsing for Big Data Analytics
Chang Ge, Yinan Li, Eric Eilebrecht, Badrish Chandramouli, Donald Kossmann
2019 ACM SIGMOD Conference | June 2019
CRA: Enabling Data-Intensive Applications in Containerized Environments
Ibrahim Sabek, Badrish Chandramouli, Umar Farooq Minhas
35th IEEE International Conference on Data Engineering (ICDE 2019) | April 2019
CRA: A Common Runtime for Applications
Badrish Chandramouli, Umar Farooq Minhas, Ibrahim Sabek
MSR-TR-2019-2 | February 2019
Publié par Microsoft
https://github.com/Microsoft/CRA
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A.M.B.R.O.S.I.A: Providing Performant Virtual Resiliency for Distributed Applications
Jonathan Goldstein, Ahmed Abdelhamid, Mike Barnett, Sebastian Burckhardt, Badrish Chandramouli, Darren Gehring, Niel Lebeck, Christopher Meiklejohn, Umar Farooq Minhas, Ryan Newton, Rahee Ghosh Peshawaria, Tal Zaccai, Irene Zhang
MSR-TR-2018-40 | December 2018
Publié par Microsoft
This paper describes the main ideas and research behind the open source Ambrosia platform for writing resilient distributed applications.
FASTER: An Embedded Concurrent Key-Value Store for State Management
Badrish Chandramouli, Guna Prasaad, Donald Kossmann, Justin Levandoski, James Hunter, Mike Barnett
Demo Paper | July 2018
FASTER: A Concurrent Key-Value Store with In-Place Updates
Badrish Chandramouli, Guna Prasaad, Donald Kossmann, Justin Levandoski, James Hunter, Mike Barnett
2018 ACM SIGMOD International Conference on Management of Data (SIGMOD '18), Houston, TX, USA | June 2018
Impatience is a Virtue: Revisiting Disorder in High-Performance Log Analytics
Badrish Chandramouli, Jonathan Goldstein, Yinan Li
34th IEEE International Conference on Data Engineering (ICDE 2018), Paris, France | April 2018
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Mison: A Fast JSON Parser for Data Analytics
Yinan Li, Nikos R. Katsipoulakis, Badrish Chandramouli, Jonathan Goldstein, Donald Kossmann
The 43rd International Conference on Very Large Data Bases (VLDB 2017) | June 2017
Enabling Signal Processing over Data Streams
Milos Nikolic, Badrish Chandramouli, Jonathan Goldstein
SIGMOD 2017, May 14-19, 2017, Chicago, Illinois, USA | May 2017
READY: Completeness is in the Eye of the Beholder
Badrish Chandramouli, Johannes Gehrke, Jonathan Goldstein, Moritz Hoffmann, Donald Kossmann, Justin Levandoski, Renato Marroquin, Wenlei Xie
8th Biennial Conference on Innovative Data Systems Research (CIDR 2017) | January 2017
Shrink – Prescribing Resiliency Solutions for Streaming
Badrish Chandramouli, Jonathan Goldstein
International Conference on Very Large Databases (PVLDB Vol. 10, Issue. 5) | January 2017
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Quill: Efficient, Transferable, and Rich Analytics at Scale
Badrish Chandramouli, Raul Castro Fernandez, Jonathan Goldstein, Ahmed Eldawy, Abdul Quamar
International Conference on Very Large Databases (PVLDB Vol. 9, Issue. 14) | September 2016
The Quill Distributed Analytics Library and Platform
Badrish Chandramouli, Raul Castro Fernandez, Jonathan Goldstein, Ahmed Eldawy, Abdul Quamar
MSR-TR-2016-25 | August 2016
Technical Report
Trill: Engineering a Library for Diverse Analytics
Badrish Chandramouli, Jonathan Goldstein, Mike Barnett, James Terwilliger
IEEE Data Engineering Bulletin | July 2016
Shrink – Prescribing Resiliency Solutions for Streaming
Badrish Chandramouli, Jonathan Goldstein
MSR-TR-2016-15 | June 2016
Making Sense of Temporal Queries with Interactive Visualization
Leilani Battle, Danyel Fisher, Robert DeLIne, Mike Barnett, Badrish Chandramouli, Jonathan Goldstein
Proceedings of the 34th Conference on Human-Computer Interaction (CHI 2016) | May 2016
ICE: Managing Cold State for Big Data Applications
Badrish Chandramouli, Justin Levandoski, Eli Cortez
IEEE International Conference on Data Engineering (ICDE) | May 2016
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Tempe: Live Scripting For Live Data
Robert DeLIne, Danyel Fisher, Badrish Chandramouli, Jonathan Goldstein, Mike Barnett, James Terwilliger, John Wernsing
Visual Languages and Human-Centric Computing (VL/HCC), 2015 IEEE Symposium on | October 2015
ISBN: 978-1-4673-7457-6
Trill: A High-Performance Incremental Query Processor for Diverse Analytics
Badrish Chandramouli, Jonathan Goldstein, Mike Barnett, Robert DeLine, Danyel Fisher, John Platt, James Terwilliger, John Wernsing, Robert DeLIne
August 2015
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Tempe: An Interactive Data Science Environment for Exploration of Temporal and Streaming Data
Danyel Fisher, Badrish Chandramouli, Robert DeLIne, Jonathan Goldstein, Andrei Aron, Mike Barnett, John Platt, James Terwilliger, John Wernsing
MSR-TR-2014-148 | November 2014
Scalable Progressive Analytics on Big Data in the Cloud
Badrish Chandramouli, Jonathan Goldstein, Abdul Quamar
MSR-TR-2013-78 | August 2014
International Conference on Very Large Databases (PVLDB Vol. 6, Issue. 14)
Supporting Distributed Feed-Following Apps over Edge Devices
Badrish Chandramouli, Suman Nath, Wenchao Zhou
International Conference on Very Large Databases | August 2014
Patience is a Virtue: Revisiting Merge and Sort on Modern Processors
Badrish Chandramouli, Jonathan Goldstein
ACM SIGMOD International Conference on Management of Data (SIGMOD 2014) | June 2014
The Trill Incremental Analytics Engine
Badrish Chandramouli, Jonathan Goldstein, Mike Barnett, John Wernsing, John Platt, Robert DeLine, Danyel Fisher, James Terwilliger, Robert DeLIne
MSR-TR-2014-54 | April 2014
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A General Streaming Algorithm for Pattern Discovery
Srivatsan Laxman, Badrish Chandramouli, Naren Ramakrishnan
Knowledge and Information Systems | December 2013, Vol 37(3): pp. 585-610
Stat! – An Interactive Analytics Environment for Big Data
Mike Barnett, Badrish Chandramouli, Robert DeLIne, Steven Drucker, Danyel Fisher, Jonathan Goldstein, Patrick Morrison, John Platt
ACM SIGMOD International Conference on Management of Data (SIGMOD 2013) | June 2013
SQLVM: Performance Isolation in Multi-Tenant Relational Database-as-a-Service
Vivek Narasayya, Sudipto Das, Manoj Syamala, Badrish Chandramouli, Surajit Chaudhuri
CIDR 2013 | January 2013
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Efficient Episode Mining of Dynamic Event Streams
Debprakash Patnaik, Srivatsan Laxman, Badrish Chandramouli, Naren Ramakrishnan
IEEE International Conference on Data Mining (ICDM 2012), Brussels, Belgium | December 2012
IEEE International Conference on Data Mining (ICDM 2012), Brussels, Belgium
Best Papers of ICDM 2012
Supporting Distributed Feed-Following Apps over Edge Devices
Badrish Chandramouli, Suman Nath, Wenchao Zhou
MSR-TR-2012-73 | July 2012
RACE: Real-time Applications over Cloud-Edge
Badrish Chandramouli, Joris Claessens, Suman Nath, Ivo Santos, Wenchao Zhou
ACM SIGMOD International Conference on Management of Data (SIGMOD 2012) | May 2012
Physically Independent Stream Merging
Badrish Chandramouli, David Maier, Jonathan Goldstein
28th International Conference on Data Engineering (ICDE '12) | April 2012
28th International Conference on Data Engineering (ICDE '12)
Temporal Analytics on Big Data for Web Advertising
Badrish Chandramouli, Jonathan Goldstein, Songyun Duan
28th International Conference on Data Engineering (ICDE '12) | April 2012
Best Paper Award
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Online Visualization of Geospatial Stream Data using the WorldWide Telescope
Mohamed Ali, Badrish Chandramouli, Jonathan Fay, Curtis Wong, Steven Drucker, Balan S. Raman
International Conference on Very Large Databases (VLDB) | August 2011
International Conference on Very Large Databases (VLDB)
Physically Independent Stream Merging
Badrish Chandramouli, David Maier, Jonathan Goldstein
MSR-TR-2011-82 | July 2011
StreamRec: A Real-Time Recommender System
Badrish Chandramouli, Justin Levandoski, Ahmed Eldawy, Mohamed F. Mokbel
ACM SIGMOD International Conference on Management of Data (SIGMOD 2011) | June 2011
Temporal Analytics on Big Data for Web Advertising
Badrish Chandramouli, Jonathan Goldstein, Songyun Duan
MSR-TR-2011-87 | June 2011
Accurate Latency Estimation in a Distributed Event Processing System
Badrish Chandramouli, Jonathan Goldstein, Roger Barga, Mirek Riedewald, Ivo Santos,
27th International Conference on Data Engineering (ICDE '11) | April 2011
27th International Conference on Data Engineering (ICDE '11)
The Extensibility Framework in Microsoft StreamInsight
Mohamed Ali, Badrish Chandramouli, Jonathan Goldstein, Roman Schindlauer
27th International Conference on Data Engineering | April 2011
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Data Stream Management Systems for Computational Finance
Badrish Chandramouli, Mohamed Ali, Jonathan Goldstein, Beysim Sezgin, Balan S. Raman
IEEE Computer | December 2010
Real-Time Spatio-Temporal Analytics using Microsoft StreamInsight
Badrish Chandramouli, Mohamed Ali, Balan S. Raman, Ed Katibah
18th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (GIS '10), San Jose, California | November 2010
Data Stream Management Systems for Computational Finance
Badrish Chandramouli, Mohamed Ali, Jonathan Goldstein, Beysim Sezgin, Balan S. Raman
MSR-TR-2010-130 | September 2010
High-Performance Dynamic Pattern Matching over Disordered Streams
Badrish Chandramouli, Jonathan Goldstein, David Maier
International Conference on Very Large Databases (VLDB), Singapore | September 2010
Accurate Latency Estimation in a Distributed Event Processing System
Badrish Chandramouli, Jonathan Goldstein, Roger Barga, Mirek Riedewald, Ivo Santos,
MSR-TR-2010-146 | July 2010
An Extensible Test Framework for the Microsoft StreamInsight Query Processor
Alex Raizman, Asvin Ananthanarayan, Anton Kirilov, Badrish Chandramouli, Mohamed Ali
International Workshop on Testing Database Systems (DBTest 2010) colocated with SIGMOD 2010, Indianapolis, Indiana, USA | June 2010
Spatio-Temporal Stream Processing in Microsoft StreamInsight
Mohamed Ali, Badrish Chandramouli, Balan Sethu Raman, Ed Katibah
June 2010
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Microsoft CEP Server and Online Behavioral Targeting
Mohamed Ali, Ciprian Gerea, Beysim Sezgin, Tiho Tarnavski, Tomer Verona, Ping Wang, Peter Zabback, Anton Kirilov, Asvin Ananthanarayan, Ming Lu, Alex Raizman, Ramkumar Krishnan, Roman Schindlauer, Torsten Grabs, Sharon Bjeletich, Badrish Chandramouli, Jonathan Goldstein, Sudin Bhat, Ying Li, Vincenzo Di Nicola, Xianfang Wang, David Maier, Ivo Santos, Olivier Nano, Stephan Grell, Balan S. Raman
International Conference on Very Large Data Bases (VLDB), Lyon, France | August 2009
On-The-Fly Progress Detection In Iterative Stream Queries
Badrish Chandramouli, Jonathan Goldstein, David Maier
International Conference on Very Large Databases (VLDB), Lyon, France | August 2009
International Conference on Very Large Databases (VLDB), Lyon, France
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ProSem: Scalable Wide-Area Publish/Subscribe
Badrish Chandramouli, Jun Yang, Pankaj K. Agarwal, Albert Yu, Ying Zheng
2008 ACM SIGMOD International Conference on Management of Data (SIGMOD '08) | June 2008
Filtre par zone de recherche
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DDS: DPU-optimized Disaggregated Storage [Extended Report]
Qizhen Zhang, Phil Bernstein, Badrish Chandramouli, Jason Hu, Yiming Zheng
VLDB 2024 | August 2024
Selection Pushdown in Column Stores using Bit Manipulation Instructions
Yinan Li, Jianan Lu, Badrish Chandramouli
2023 ACM SIGMOD Conference | June 2023
Netherite: Efficient Execution of Serverless Workflows
Sebastian Burckhardt, Badrish Chandramouli, Chris Gillum, David Justo, Konstantinos Kallas, Connor McMahon, Christopher S. Meiklejohn, Xiangfeng Zhu
VLDB 2022 | April 2022
CompuCache: Remote Computable Caching using Spot VMs
Qizhen Zhang, Phil Bernstein, Daniel S. Berger, Badrish Chandramouli, Boon Thao Loo, Vincent Liu
Conference on Innovative Data Systems Research (CIDR 2022) | January 2022
Redy: Remote Dynamic Memory Cache
Qizhen Zhang, Phil Bernstein, Daniel Berger (daberg), Badrish Chandramouli
VLDB 2022 | December 2021
Crystal: A Unified Cache Storage System for Analytical Databases
Dominik Durner, Badrish Chandramouli, Yinan Li
Proceedings of the VLDB Endowment | August 2021
Optimization of threshold functions over streams
Walter Cai, Phil Bernstein, Wentao Wu, Badrish Chandramouli
Proceedings of the VLDB Endowment (VLDB 2021) | August 2021
FastVer: Making Data Integrity a Commodity
Arvind Arasu, Aseem Rastogi, Badrish Chandramouli, Donald Kossmann, Esha Ghosh, Johannes Gehrke, Nikhil Swamy, Jonathan Protzenko, Ravi Ramamurthy, Srinath Setty, Tahina Ramananandro, Alexander van Renen, Min Xu
SIGMOD | June 2021
Asynchronous Prefix Recoverability for Fast Distributed Stores
Tianyu Li, Badrish Chandramouli, Jose Faleiro, Donald Kossmann, Sam Madden
SIGMOD 2021 | June 2021
Instance-Optimized Data Layouts for Cloud Analytics Workloads
Jialin Ding, Umar Farooq Minhas, Badrish Chandramouli, Chi Wang, Yinan Li, Ying Li, Donald Kossmann, Johannes Gehrke, Tim Kraska
SIGMOD 2021 | June 2021
Achieving High Throughput and Elasticity in a Larger-than-Memory Store
Chinmay Kulkarni, Badrish Chandramouli, Ryan Stutsman
PVLDB, 14(8), 2021 | June 2020
Qd-tree: Learning Data Layouts for Big Data Analytics
Zongheng Yang, Badrish Chandramouli, Chi Wang, Johannes Gehrke, Yinan Li, Umar Farooq Minhas, Per-Ake Larson, Donald Kossmann, Rajeev Acharya
SIGMOD 2020 | June 2020
ALEX: An Updatable Adaptive Learned Index
Jialin Ding, Umar Farooq Minhas, Jia Yu, Chi Wang, Jaeyoung Do, Yinan Li, Hantian Zhang, Badrish Chandramouli, Johannes Gehrke, Donald Kossmann, David Lomet, Tim Kraska
MSR-TR-2020-12 | May 2020
Publié par Microsoft
SIGMOD 2020 | June 2020
FishStore: Fast Ingestion and Indexing of Raw Data
Badrish Chandramouli, Dong Xie, Yinan Li, Donald Kossmann
PVLDB Vol. 12 No. 12 | August 2019
Demo paper
Speculative Distributed CSV Data Parsing for Big Data Analytics
Chang Ge, Yinan Li, Eric Eilebrecht, Badrish Chandramouli, Donald Kossmann
2019 ACM SIGMOD Conference | June 2019
FishStore: Faster Ingestion with Subset Hashing
Dong Xie, Badrish Chandramouli, Yinan Li, Donald Kossmann
2019 ACM SIGMOD Conference | June 2019
Concurrent Prefix Recovery: Performing CPR on a Database
Guna Prasaad, Badrish Chandramouli, Donald Kossmann
2019 ACM SIGMOD Conference | June 2019
CRA: Enabling Data-Intensive Applications in Containerized Environments
Ibrahim Sabek, Badrish Chandramouli, Umar Farooq Minhas
35th IEEE International Conference on Data Engineering (ICDE 2019) | April 2019
CRA: A Common Runtime for Applications
Badrish Chandramouli, Umar Farooq Minhas, Ibrahim Sabek
MSR-TR-2019-2 | February 2019
Publié par Microsoft
https://github.com/Microsoft/CRA
A.M.B.R.O.S.I.A: Providing Performant Virtual Resiliency for Distributed Applications
Jonathan Goldstein, Ahmed Abdelhamid, Mike Barnett, Sebastian Burckhardt, Badrish Chandramouli, Darren Gehring, Niel Lebeck, Christopher Meiklejohn, Umar Farooq Minhas, Ryan Newton, Rahee Ghosh Peshawaria, Tal Zaccai, Irene Zhang
MSR-TR-2018-40 | December 2018
Publié par Microsoft
This paper describes the main ideas and research behind the open source Ambrosia platform for writing resilient distributed applications.
FASTER: An Embedded Concurrent Key-Value Store for State Management
Badrish Chandramouli, Guna Prasaad, Donald Kossmann, Justin Levandoski, James Hunter, Mike Barnett
Demo Paper | July 2018
FASTER: A Concurrent Key-Value Store with In-Place Updates
Badrish Chandramouli, Guna Prasaad, Donald Kossmann, Justin Levandoski, James Hunter, Mike Barnett
2018 ACM SIGMOD International Conference on Management of Data (SIGMOD '18), Houston, TX, USA | June 2018
Impatience is a Virtue: Revisiting Disorder in High-Performance Log Analytics
Badrish Chandramouli, Jonathan Goldstein, Yinan Li
34th IEEE International Conference on Data Engineering (ICDE 2018), Paris, France | April 2018
Mison: A Fast JSON Parser for Data Analytics
Yinan Li, Nikos R. Katsipoulakis, Badrish Chandramouli, Jonathan Goldstein, Donald Kossmann
The 43rd International Conference on Very Large Data Bases (VLDB 2017) | June 2017
Enabling Signal Processing over Data Streams
Milos Nikolic, Badrish Chandramouli, Jonathan Goldstein
SIGMOD 2017, May 14-19, 2017, Chicago, Illinois, USA | May 2017
READY: Completeness is in the Eye of the Beholder
Badrish Chandramouli, Johannes Gehrke, Jonathan Goldstein, Moritz Hoffmann, Donald Kossmann, Justin Levandoski, Renato Marroquin, Wenlei Xie
8th Biennial Conference on Innovative Data Systems Research (CIDR 2017) | January 2017
Shrink – Prescribing Resiliency Solutions for Streaming
Badrish Chandramouli, Jonathan Goldstein
International Conference on Very Large Databases (PVLDB Vol. 10, Issue. 5) | January 2017
Quill: Efficient, Transferable, and Rich Analytics at Scale
Badrish Chandramouli, Raul Castro Fernandez, Jonathan Goldstein, Ahmed Eldawy, Abdul Quamar
International Conference on Very Large Databases (PVLDB Vol. 9, Issue. 14) | September 2016
The Quill Distributed Analytics Library and Platform
Badrish Chandramouli, Raul Castro Fernandez, Jonathan Goldstein, Ahmed Eldawy, Abdul Quamar
MSR-TR-2016-25 | August 2016
Technical Report
Trill: Engineering a Library for Diverse Analytics
Badrish Chandramouli, Jonathan Goldstein, Mike Barnett, James Terwilliger
IEEE Data Engineering Bulletin | July 2016
Shrink – Prescribing Resiliency Solutions for Streaming
Badrish Chandramouli, Jonathan Goldstein
MSR-TR-2016-15 | June 2016
Making Sense of Temporal Queries with Interactive Visualization
Leilani Battle, Danyel Fisher, Robert DeLIne, Mike Barnett, Badrish Chandramouli, Jonathan Goldstein
Proceedings of the 34th Conference on Human-Computer Interaction (CHI 2016) | May 2016
ICE: Managing Cold State for Big Data Applications
Badrish Chandramouli, Justin Levandoski, Eli Cortez
IEEE International Conference on Data Engineering (ICDE) | May 2016
Tempe: Live Scripting For Live Data
Robert DeLIne, Danyel Fisher, Badrish Chandramouli, Jonathan Goldstein, Mike Barnett, James Terwilliger, John Wernsing
Visual Languages and Human-Centric Computing (VL/HCC), 2015 IEEE Symposium on | October 2015
ISBN: 978-1-4673-7457-6
Trill: A High-Performance Incremental Query Processor for Diverse Analytics
Badrish Chandramouli, Jonathan Goldstein, Mike Barnett, Robert DeLine, Danyel Fisher, John Platt, James Terwilliger, John Wernsing, Robert DeLIne
August 2015
Tempe: An Interactive Data Science Environment for Exploration of Temporal and Streaming Data
Danyel Fisher, Badrish Chandramouli, Robert DeLIne, Jonathan Goldstein, Andrei Aron, Mike Barnett, John Platt, James Terwilliger, John Wernsing
MSR-TR-2014-148 | November 2014
Scalable Progressive Analytics on Big Data in the Cloud
Badrish Chandramouli, Jonathan Goldstein, Abdul Quamar
MSR-TR-2013-78 | August 2014
International Conference on Very Large Databases (PVLDB Vol. 6, Issue. 14)
Supporting Distributed Feed-Following Apps over Edge Devices
Badrish Chandramouli, Suman Nath, Wenchao Zhou
International Conference on Very Large Databases | August 2014
Patience is a Virtue: Revisiting Merge and Sort on Modern Processors
Badrish Chandramouli, Jonathan Goldstein
ACM SIGMOD International Conference on Management of Data (SIGMOD 2014) | June 2014
The Trill Incremental Analytics Engine
Badrish Chandramouli, Jonathan Goldstein, Mike Barnett, John Wernsing, John Platt, Robert DeLine, Danyel Fisher, James Terwilliger, Robert DeLIne
MSR-TR-2014-54 | April 2014
A General Streaming Algorithm for Pattern Discovery
Srivatsan Laxman, Badrish Chandramouli, Naren Ramakrishnan
Knowledge and Information Systems | December 2013, Vol 37(3): pp. 585-610
SQLVM: Performance Isolation in Multi-Tenant Relational Database-as-a-Service
Vivek Narasayya, Sudipto Das, Manoj Syamala, Badrish Chandramouli, Surajit Chaudhuri
CIDR 2013 | January 2013
Supporting Distributed Feed-Following Apps over Edge Devices
Badrish Chandramouli, Suman Nath, Wenchao Zhou
MSR-TR-2012-73 | July 2012
Temporal Analytics on Big Data for Web Advertising
Badrish Chandramouli, Jonathan Goldstein, Songyun Duan
28th International Conference on Data Engineering (ICDE '12) | April 2012
Best Paper Award
Physically Independent Stream Merging
Badrish Chandramouli, David Maier, Jonathan Goldstein
28th International Conference on Data Engineering (ICDE '12) | April 2012
28th International Conference on Data Engineering (ICDE '12)
Online Visualization of Geospatial Stream Data using the WorldWide Telescope
Mohamed Ali, Badrish Chandramouli, Jonathan Fay, Curtis Wong, Steven Drucker, Balan S. Raman
International Conference on Very Large Databases (VLDB) | August 2011
International Conference on Very Large Databases (VLDB)
Physically Independent Stream Merging
Badrish Chandramouli, David Maier, Jonathan Goldstein
MSR-TR-2011-82 | July 2011
Temporal Analytics on Big Data for Web Advertising
Badrish Chandramouli, Jonathan Goldstein, Songyun Duan
MSR-TR-2011-87 | June 2011
StreamRec: A Real-Time Recommender System
Badrish Chandramouli, Justin Levandoski, Ahmed Eldawy, Mohamed F. Mokbel
ACM SIGMOD International Conference on Management of Data (SIGMOD 2011) | June 2011
Data Stream Management Systems for Computational Finance
Badrish Chandramouli, Mohamed Ali, Jonathan Goldstein, Beysim Sezgin, Balan S. Raman
IEEE Computer | December 2010
Data Stream Management Systems for Computational Finance
Badrish Chandramouli, Mohamed Ali, Jonathan Goldstein, Beysim Sezgin, Balan S. Raman
MSR-TR-2010-130 | September 2010
Microsoft CEP Server and Online Behavioral Targeting
Mohamed Ali, Ciprian Gerea, Beysim Sezgin, Tiho Tarnavski, Tomer Verona, Ping Wang, Peter Zabback, Anton Kirilov, Asvin Ananthanarayan, Ming Lu, Alex Raizman, Ramkumar Krishnan, Roman Schindlauer, Torsten Grabs, Sharon Bjeletich, Badrish Chandramouli, Jonathan Goldstein, Sudin Bhat, Ying Li, Vincenzo Di Nicola, Xianfang Wang, David Maier, Ivo Santos, Olivier Nano, Stephan Grell, Balan S. Raman
International Conference on Very Large Data Bases (VLDB), Lyon, France | August 2009
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Escapement: A Tool for Interactive Prototyping with Video via Sensor-Mediated Abstraction of Time
Molly Jane Nicholas, Nicolai Marquardt, Michel Pahud, Nathalie Henry Riche, Hugo Romat, Christopher Collins, David Ledo, Rohan Kadekodi, Badrish Chandramouli, Ken Hinckley
CHI '23: Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems | April 2023
SurfaceFleet: Exploring Distributed Interactions Unbounded from Device, Application, User, and Time (UIST 2020 Paper)
Frederik Brudy, David Ledo, Michel Pahud, Nathalie Henry Riche, Christian Holz, Anand Waghmare, Hemant Surale, Marcus Peinado, Xiaokuan Zhang, Shannon Joyner, Badrish Chandramouli, Umar Farooq Minhas, Jonathan Goldstein, Bill Buxton, Ken Hinckley
Proceedings of the 33rd Annual Symposium on User Interface Software and Technology (UIST '20) | October 2020
Making Sense of Temporal Queries with Interactive Visualization
Leilani Battle, Danyel Fisher, Robert DeLIne, Mike Barnett, Badrish Chandramouli, Jonathan Goldstein
Proceedings of the 34th Conference on Human-Computer Interaction (CHI 2016) | May 2016
Tempe: An Interactive Data Science Environment for Exploration of Temporal and Streaming Data
Danyel Fisher, Badrish Chandramouli, Robert DeLIne, Jonathan Goldstein, Andrei Aron, Mike Barnett, John Platt, James Terwilliger, John Wernsing
MSR-TR-2014-148 | November 2014
Stat! – An Interactive Analytics Environment for Big Data
Mike Barnett, Badrish Chandramouli, Robert DeLIne, Steven Drucker, Danyel Fisher, Jonathan Goldstein, Patrick Morrison, John Platt
ACM SIGMOD International Conference on Management of Data (SIGMOD 2013) | June 2013
Real-Time Spatio-Temporal Analytics using Microsoft StreamInsight
Badrish Chandramouli, Mohamed Ali, Balan S. Raman, Ed Katibah
18th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (GIS '10), San Jose, California | November 2010
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Netherite: Efficient Execution of Serverless Workflows
Sebastian Burckhardt, Badrish Chandramouli, Chris Gillum, David Justo, Konstantinos Kallas, Connor McMahon, Christopher S. Meiklejohn, Xiangfeng Zhu
VLDB 2022 | April 2022
A.M.B.R.O.S.I.A: Providing Performant Virtual Resiliency for Distributed Applications
Jonathan Goldstein, Ahmed Abdelhamid, Mike Barnett, Sebastian Burckhardt, Badrish Chandramouli, Darren Gehring, Niel Lebeck, Christopher Meiklejohn, Umar Farooq Minhas, Ryan Newton, Rahee Ghosh Peshawaria, Tal Zaccai, Irene Zhang
MSR-TR-2018-40 | December 2018
Publié par Microsoft
This paper describes the main ideas and research behind the open source Ambrosia platform for writing resilient distributed applications.
Tempe: An Interactive Data Science Environment for Exploration of Temporal and Streaming Data
Danyel Fisher, Badrish Chandramouli, Robert DeLIne, Jonathan Goldstein, Andrei Aron, Mike Barnett, John Platt, James Terwilliger, John Wernsing
MSR-TR-2014-148 | November 2014
The Trill Incremental Analytics Engine
Badrish Chandramouli, Jonathan Goldstein, Mike Barnett, John Wernsing, John Platt, Robert DeLine, Danyel Fisher, James Terwilliger, Robert DeLIne
MSR-TR-2014-54 | April 2014
The Extensibility Framework in Microsoft StreamInsight
Mohamed Ali, Badrish Chandramouli, Jonathan Goldstein, Roman Schindlauer
27th International Conference on Data Engineering | April 2011
Spatio-Temporal Stream Processing in Microsoft StreamInsight
Mohamed Ali, Badrish Chandramouli, Balan Sethu Raman, Ed Katibah
June 2010
On-The-Fly Progress Detection In Iterative Stream Queries
Badrish Chandramouli, Jonathan Goldstein, David Maier
International Conference on Very Large Databases (VLDB), Lyon, France | August 2009
International Conference on Very Large Databases (VLDB), Lyon, France
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Netherite: Efficient Execution of Serverless Workflows
Sebastian Burckhardt, Badrish Chandramouli, Chris Gillum, David Justo, Konstantinos Kallas, Connor McMahon, Christopher S. Meiklejohn, Xiangfeng Zhu
VLDB 2022 | April 2022
A.M.B.R.O.S.I.A: Providing Performant Virtual Resiliency for Distributed Applications
Jonathan Goldstein, Ahmed Abdelhamid, Mike Barnett, Sebastian Burckhardt, Badrish Chandramouli, Darren Gehring, Niel Lebeck, Christopher Meiklejohn, Umar Farooq Minhas, Ryan Newton, Rahee Ghosh Peshawaria, Tal Zaccai, Irene Zhang
MSR-TR-2018-40 | December 2018
Publié par Microsoft
This paper describes the main ideas and research behind the open source Ambrosia platform for writing resilient distributed applications.
Trill: Engineering a Library for Diverse Analytics
Badrish Chandramouli, Jonathan Goldstein, Mike Barnett, James Terwilliger
IEEE Data Engineering Bulletin | July 2016
SQLVM: Performance Isolation in Multi-Tenant Relational Database-as-a-Service
Vivek Narasayya, Sudipto Das, Manoj Syamala, Badrish Chandramouli, Surajit Chaudhuri
CIDR 2013 | January 2013
RACE: Real-time Applications over Cloud-Edge
Badrish Chandramouli, Joris Claessens, Suman Nath, Ivo Santos, Wenchao Zhou
ACM SIGMOD International Conference on Management of Data (SIGMOD 2012) | May 2012
Accurate Latency Estimation in a Distributed Event Processing System
Badrish Chandramouli, Jonathan Goldstein, Roger Barga, Mirek Riedewald, Ivo Santos,
27th International Conference on Data Engineering (ICDE '11) | April 2011
27th International Conference on Data Engineering (ICDE '11)
High-Performance Dynamic Pattern Matching over Disordered Streams
Badrish Chandramouli, Jonathan Goldstein, David Maier
International Conference on Very Large Databases (VLDB), Singapore | September 2010
Accurate Latency Estimation in a Distributed Event Processing System
Badrish Chandramouli, Jonathan Goldstein, Roger Barga, Mirek Riedewald, Ivo Santos,
MSR-TR-2010-146 | July 2010
An Extensible Test Framework for the Microsoft StreamInsight Query Processor
Alex Raizman, Asvin Ananthanarayan, Anton Kirilov, Badrish Chandramouli, Mohamed Ali
International Workshop on Testing Database Systems (DBTest 2010) colocated with SIGMOD 2010, Indianapolis, Indiana, USA | June 2010
ProSem: Scalable Wide-Area Publish/Subscribe
Badrish Chandramouli, Jun Yang, Pankaj K. Agarwal, Albert Yu, Ying Zheng
2008 ACM SIGMOD International Conference on Management of Data (SIGMOD '08) | June 2008
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Tempe: An Interactive Data Science Environment for Exploration of Temporal and Streaming Data
Danyel Fisher, Badrish Chandramouli, Robert DeLIne, Jonathan Goldstein, Andrei Aron, Mike Barnett, John Platt, James Terwilliger, John Wernsing
MSR-TR-2014-148 | November 2014
Efficient Episode Mining of Dynamic Event Streams
Debprakash Patnaik, Srivatsan Laxman, Badrish Chandramouli, Naren Ramakrishnan
IEEE International Conference on Data Mining (ICDM 2012), Brussels, Belgium | December 2012
IEEE International Conference on Data Mining (ICDM 2012), Brussels, Belgium
Best Papers of ICDM 2012
Microsoft CEP Server and Online Behavioral Targeting
Mohamed Ali, Ciprian Gerea, Beysim Sezgin, Tiho Tarnavski, Tomer Verona, Ping Wang, Peter Zabback, Anton Kirilov, Asvin Ananthanarayan, Ming Lu, Alex Raizman, Ramkumar Krishnan, Roman Schindlauer, Torsten Grabs, Sharon Bjeletich, Badrish Chandramouli, Jonathan Goldstein, Sudin Bhat, Ying Li, Vincenzo Di Nicola, Xianfang Wang, David Maier, Ivo Santos, Olivier Nano, Stephan Grell, Balan S. Raman
International Conference on Very Large Data Bases (VLDB), Lyon, France | August 2009
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Supporting Distributed Feed-Following Apps over Edge Devices
Badrish Chandramouli, Suman Nath, Wenchao Zhou
International Conference on Very Large Databases | August 2014
Supporting Distributed Feed-Following Apps over Edge Devices
Badrish Chandramouli, Suman Nath, Wenchao Zhou
MSR-TR-2012-73 | July 2012
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The Trill Incremental Analytics Engine
Badrish Chandramouli, Jonathan Goldstein, Mike Barnett, John Wernsing, John Platt, Robert DeLine, Danyel Fisher, James Terwilliger, Robert DeLIne
MSR-TR-2014-54 | April 2014
Stat! – An Interactive Analytics Environment for Big Data
Mike Barnett, Badrish Chandramouli, Robert DeLIne, Steven Drucker, Danyel Fisher, Jonathan Goldstein, Patrick Morrison, John Platt
ACM SIGMOD International Conference on Management of Data (SIGMOD 2013) | June 2013
Publication Type
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DDS: DPU-optimized Disaggregated Storage [Extended Report]
Qizhen Zhang, Phil Bernstein, Badrish Chandramouli, Jason Hu, Yiming Zheng
VLDB 2024 | August 2024
Selection Pushdown in Column Stores using Bit Manipulation Instructions
Yinan Li, Jianan Lu, Badrish Chandramouli
2023 ACM SIGMOD Conference | June 2023
Escapement: A Tool for Interactive Prototyping with Video via Sensor-Mediated Abstraction of Time
Molly Jane Nicholas, Nicolai Marquardt, Michel Pahud, Nathalie Henry Riche, Hugo Romat, Christopher Collins, David Ledo, Rohan Kadekodi, Badrish Chandramouli, Ken Hinckley
CHI '23: Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems | April 2023
Netherite: Efficient Execution of Serverless Workflows
Sebastian Burckhardt, Badrish Chandramouli, Chris Gillum, David Justo, Konstantinos Kallas, Connor McMahon, Christopher S. Meiklejohn, Xiangfeng Zhu
VLDB 2022 | April 2022
CompuCache: Remote Computable Caching using Spot VMs
Qizhen Zhang, Phil Bernstein, Daniel S. Berger, Badrish Chandramouli, Boon Thao Loo, Vincent Liu
Conference on Innovative Data Systems Research (CIDR 2022) | January 2022
Redy: Remote Dynamic Memory Cache
Qizhen Zhang, Phil Bernstein, Daniel Berger (daberg), Badrish Chandramouli
VLDB 2022 | December 2021
Crystal: A Unified Cache Storage System for Analytical Databases
Dominik Durner, Badrish Chandramouli, Yinan Li
Proceedings of the VLDB Endowment | August 2021
Optimization of threshold functions over streams
Walter Cai, Phil Bernstein, Wentao Wu, Badrish Chandramouli
Proceedings of the VLDB Endowment (VLDB 2021) | August 2021
FastVer: Making Data Integrity a Commodity
Arvind Arasu, Aseem Rastogi, Badrish Chandramouli, Donald Kossmann, Esha Ghosh, Johannes Gehrke, Nikhil Swamy, Jonathan Protzenko, Ravi Ramamurthy, Srinath Setty, Tahina Ramananandro, Alexander van Renen, Min Xu
SIGMOD | June 2021
Asynchronous Prefix Recoverability for Fast Distributed Stores
Tianyu Li, Badrish Chandramouli, Jose Faleiro, Donald Kossmann, Sam Madden
SIGMOD 2021 | June 2021
SurfaceFleet: Exploring Distributed Interactions Unbounded from Device, Application, User, and Time (UIST 2020 Paper)
Frederik Brudy, David Ledo, Michel Pahud, Nathalie Henry Riche, Christian Holz, Anand Waghmare, Hemant Surale, Marcus Peinado, Xiaokuan Zhang, Shannon Joyner, Badrish Chandramouli, Umar Farooq Minhas, Jonathan Goldstein, Bill Buxton, Ken Hinckley
Proceedings of the 33rd Annual Symposium on User Interface Software and Technology (UIST '20) | October 2020
Achieving High Throughput and Elasticity in a Larger-than-Memory Store
Chinmay Kulkarni, Badrish Chandramouli, Ryan Stutsman
PVLDB, 14(8), 2021 | June 2020
Qd-tree: Learning Data Layouts for Big Data Analytics
Zongheng Yang, Badrish Chandramouli, Chi Wang, Johannes Gehrke, Yinan Li, Umar Farooq Minhas, Per-Ake Larson, Donald Kossmann, Rajeev Acharya
SIGMOD 2020 | June 2020
FishStore: Fast Ingestion and Indexing of Raw Data
Badrish Chandramouli, Dong Xie, Yinan Li, Donald Kossmann
PVLDB Vol. 12 No. 12 | August 2019
Demo paper
Speculative Distributed CSV Data Parsing for Big Data Analytics
Chang Ge, Yinan Li, Eric Eilebrecht, Badrish Chandramouli, Donald Kossmann
2019 ACM SIGMOD Conference | June 2019
FishStore: Faster Ingestion with Subset Hashing
Dong Xie, Badrish Chandramouli, Yinan Li, Donald Kossmann
2019 ACM SIGMOD Conference | June 2019
Concurrent Prefix Recovery: Performing CPR on a Database
Guna Prasaad, Badrish Chandramouli, Donald Kossmann
2019 ACM SIGMOD Conference | June 2019
CRA: Enabling Data-Intensive Applications in Containerized Environments
Ibrahim Sabek, Badrish Chandramouli, Umar Farooq Minhas
35th IEEE International Conference on Data Engineering (ICDE 2019) | April 2019
FASTER: An Embedded Concurrent Key-Value Store for State Management
Badrish Chandramouli, Guna Prasaad, Donald Kossmann, Justin Levandoski, James Hunter, Mike Barnett
Demo Paper | July 2018
FASTER: A Concurrent Key-Value Store with In-Place Updates
Badrish Chandramouli, Guna Prasaad, Donald Kossmann, Justin Levandoski, James Hunter, Mike Barnett
2018 ACM SIGMOD International Conference on Management of Data (SIGMOD '18), Houston, TX, USA | June 2018
Impatience is a Virtue: Revisiting Disorder in High-Performance Log Analytics
Badrish Chandramouli, Jonathan Goldstein, Yinan Li
34th IEEE International Conference on Data Engineering (ICDE 2018), Paris, France | April 2018
Mison: A Fast JSON Parser for Data Analytics
Yinan Li, Nikos R. Katsipoulakis, Badrish Chandramouli, Jonathan Goldstein, Donald Kossmann
The 43rd International Conference on Very Large Data Bases (VLDB 2017) | June 2017
Enabling Signal Processing over Data Streams
Milos Nikolic, Badrish Chandramouli, Jonathan Goldstein
SIGMOD 2017, May 14-19, 2017, Chicago, Illinois, USA | May 2017
READY: Completeness is in the Eye of the Beholder
Badrish Chandramouli, Johannes Gehrke, Jonathan Goldstein, Moritz Hoffmann, Donald Kossmann, Justin Levandoski, Renato Marroquin, Wenlei Xie
8th Biennial Conference on Innovative Data Systems Research (CIDR 2017) | January 2017
Shrink – Prescribing Resiliency Solutions for Streaming
Badrish Chandramouli, Jonathan Goldstein
International Conference on Very Large Databases (PVLDB Vol. 10, Issue. 5) | January 2017
Quill: Efficient, Transferable, and Rich Analytics at Scale
Badrish Chandramouli, Raul Castro Fernandez, Jonathan Goldstein, Ahmed Eldawy, Abdul Quamar
International Conference on Very Large Databases (PVLDB Vol. 9, Issue. 14) | September 2016
Making Sense of Temporal Queries with Interactive Visualization
Leilani Battle, Danyel Fisher, Robert DeLIne, Mike Barnett, Badrish Chandramouli, Jonathan Goldstein
Proceedings of the 34th Conference on Human-Computer Interaction (CHI 2016) | May 2016
ICE: Managing Cold State for Big Data Applications
Badrish Chandramouli, Justin Levandoski, Eli Cortez
IEEE International Conference on Data Engineering (ICDE) | May 2016
Tempe: Live Scripting For Live Data
Robert DeLIne, Danyel Fisher, Badrish Chandramouli, Jonathan Goldstein, Mike Barnett, James Terwilliger, John Wernsing
Visual Languages and Human-Centric Computing (VL/HCC), 2015 IEEE Symposium on | October 2015
ISBN: 978-1-4673-7457-6
Trill: A High-Performance Incremental Query Processor for Diverse Analytics
Badrish Chandramouli, Jonathan Goldstein, Mike Barnett, Robert DeLine, Danyel Fisher, John Platt, James Terwilliger, John Wernsing, Robert DeLIne
August 2015
Supporting Distributed Feed-Following Apps over Edge Devices
Badrish Chandramouli, Suman Nath, Wenchao Zhou
International Conference on Very Large Databases | August 2014
Patience is a Virtue: Revisiting Merge and Sort on Modern Processors
Badrish Chandramouli, Jonathan Goldstein
ACM SIGMOD International Conference on Management of Data (SIGMOD 2014) | June 2014
Stat! – An Interactive Analytics Environment for Big Data
Mike Barnett, Badrish Chandramouli, Robert DeLIne, Steven Drucker, Danyel Fisher, Jonathan Goldstein, Patrick Morrison, John Platt
ACM SIGMOD International Conference on Management of Data (SIGMOD 2013) | June 2013
SQLVM: Performance Isolation in Multi-Tenant Relational Database-as-a-Service
Vivek Narasayya, Sudipto Das, Manoj Syamala, Badrish Chandramouli, Surajit Chaudhuri
CIDR 2013 | January 2013
Efficient Episode Mining of Dynamic Event Streams
Debprakash Patnaik, Srivatsan Laxman, Badrish Chandramouli, Naren Ramakrishnan
IEEE International Conference on Data Mining (ICDM 2012), Brussels, Belgium | December 2012
IEEE International Conference on Data Mining (ICDM 2012), Brussels, Belgium
Best Papers of ICDM 2012
RACE: Real-time Applications over Cloud-Edge
Badrish Chandramouli, Joris Claessens, Suman Nath, Ivo Santos, Wenchao Zhou
ACM SIGMOD International Conference on Management of Data (SIGMOD 2012) | May 2012
Temporal Analytics on Big Data for Web Advertising
Badrish Chandramouli, Jonathan Goldstein, Songyun Duan
28th International Conference on Data Engineering (ICDE '12) | April 2012
Best Paper Award
Physically Independent Stream Merging
Badrish Chandramouli, David Maier, Jonathan Goldstein
28th International Conference on Data Engineering (ICDE '12) | April 2012
28th International Conference on Data Engineering (ICDE '12)
Online Visualization of Geospatial Stream Data using the WorldWide Telescope
Mohamed Ali, Badrish Chandramouli, Jonathan Fay, Curtis Wong, Steven Drucker, Balan S. Raman
International Conference on Very Large Databases (VLDB) | August 2011
International Conference on Very Large Databases (VLDB)
StreamRec: A Real-Time Recommender System
Badrish Chandramouli, Justin Levandoski, Ahmed Eldawy, Mohamed F. Mokbel
ACM SIGMOD International Conference on Management of Data (SIGMOD 2011) | June 2011
The Extensibility Framework in Microsoft StreamInsight
Mohamed Ali, Badrish Chandramouli, Jonathan Goldstein, Roman Schindlauer
27th International Conference on Data Engineering | April 2011
Accurate Latency Estimation in a Distributed Event Processing System
Badrish Chandramouli, Jonathan Goldstein, Roger Barga, Mirek Riedewald, Ivo Santos,
27th International Conference on Data Engineering (ICDE '11) | April 2011
27th International Conference on Data Engineering (ICDE '11)
Real-Time Spatio-Temporal Analytics using Microsoft StreamInsight
Badrish Chandramouli, Mohamed Ali, Balan S. Raman, Ed Katibah
18th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (GIS '10), San Jose, California | November 2010
High-Performance Dynamic Pattern Matching over Disordered Streams
Badrish Chandramouli, Jonathan Goldstein, David Maier
International Conference on Very Large Databases (VLDB), Singapore | September 2010
Spatio-Temporal Stream Processing in Microsoft StreamInsight
Mohamed Ali, Badrish Chandramouli, Balan Sethu Raman, Ed Katibah
June 2010
An Extensible Test Framework for the Microsoft StreamInsight Query Processor
Alex Raizman, Asvin Ananthanarayan, Anton Kirilov, Badrish Chandramouli, Mohamed Ali
International Workshop on Testing Database Systems (DBTest 2010) colocated with SIGMOD 2010, Indianapolis, Indiana, USA | June 2010
On-The-Fly Progress Detection In Iterative Stream Queries
Badrish Chandramouli, Jonathan Goldstein, David Maier
International Conference on Very Large Databases (VLDB), Lyon, France | August 2009
International Conference on Very Large Databases (VLDB), Lyon, France
Microsoft CEP Server and Online Behavioral Targeting
Mohamed Ali, Ciprian Gerea, Beysim Sezgin, Tiho Tarnavski, Tomer Verona, Ping Wang, Peter Zabback, Anton Kirilov, Asvin Ananthanarayan, Ming Lu, Alex Raizman, Ramkumar Krishnan, Roman Schindlauer, Torsten Grabs, Sharon Bjeletich, Badrish Chandramouli, Jonathan Goldstein, Sudin Bhat, Ying Li, Vincenzo Di Nicola, Xianfang Wang, David Maier, Ivo Santos, Olivier Nano, Stephan Grell, Balan S. Raman
International Conference on Very Large Data Bases (VLDB), Lyon, France | August 2009
ProSem: Scalable Wide-Area Publish/Subscribe
Badrish Chandramouli, Jun Yang, Pankaj K. Agarwal, Albert Yu, Ying Zheng
2008 ACM SIGMOD International Conference on Management of Data (SIGMOD '08) | June 2008
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Instance-Optimized Data Layouts for Cloud Analytics Workloads
Jialin Ding, Umar Farooq Minhas, Badrish Chandramouli, Chi Wang, Yinan Li, Ying Li, Donald Kossmann, Johannes Gehrke, Tim Kraska
SIGMOD 2021 | June 2021
Trill: Engineering a Library for Diverse Analytics
Badrish Chandramouli, Jonathan Goldstein, Mike Barnett, James Terwilliger
IEEE Data Engineering Bulletin | July 2016
A General Streaming Algorithm for Pattern Discovery
Srivatsan Laxman, Badrish Chandramouli, Naren Ramakrishnan
Knowledge and Information Systems | December 2013, Vol 37(3): pp. 585-610
Data Stream Management Systems for Computational Finance
Badrish Chandramouli, Mohamed Ali, Jonathan Goldstein, Beysim Sezgin, Balan S. Raman
IEEE Computer | December 2010
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ALEX: An Updatable Adaptive Learned Index
Jialin Ding, Umar Farooq Minhas, Jia Yu, Chi Wang, Jaeyoung Do, Yinan Li, Hantian Zhang, Badrish Chandramouli, Johannes Gehrke, Donald Kossmann, David Lomet, Tim Kraska
MSR-TR-2020-12 | May 2020
Publié par Microsoft
SIGMOD 2020 | June 2020
CRA: A Common Runtime for Applications
Badrish Chandramouli, Umar Farooq Minhas, Ibrahim Sabek
MSR-TR-2019-2 | February 2019
Publié par Microsoft
https://github.com/Microsoft/CRA
A.M.B.R.O.S.I.A: Providing Performant Virtual Resiliency for Distributed Applications
Jonathan Goldstein, Ahmed Abdelhamid, Mike Barnett, Sebastian Burckhardt, Badrish Chandramouli, Darren Gehring, Niel Lebeck, Christopher Meiklejohn, Umar Farooq Minhas, Ryan Newton, Rahee Ghosh Peshawaria, Tal Zaccai, Irene Zhang
MSR-TR-2018-40 | December 2018
Publié par Microsoft
This paper describes the main ideas and research behind the open source Ambrosia platform for writing resilient distributed applications.
The Quill Distributed Analytics Library and Platform
Badrish Chandramouli, Raul Castro Fernandez, Jonathan Goldstein, Ahmed Eldawy, Abdul Quamar
MSR-TR-2016-25 | August 2016
Technical Report
Shrink – Prescribing Resiliency Solutions for Streaming
Badrish Chandramouli, Jonathan Goldstein
MSR-TR-2016-15 | June 2016
Tempe: An Interactive Data Science Environment for Exploration of Temporal and Streaming Data
Danyel Fisher, Badrish Chandramouli, Robert DeLIne, Jonathan Goldstein, Andrei Aron, Mike Barnett, John Platt, James Terwilliger, John Wernsing
MSR-TR-2014-148 | November 2014
Scalable Progressive Analytics on Big Data in the Cloud
Badrish Chandramouli, Jonathan Goldstein, Abdul Quamar
MSR-TR-2013-78 | August 2014
International Conference on Very Large Databases (PVLDB Vol. 6, Issue. 14)
The Trill Incremental Analytics Engine
Badrish Chandramouli, Jonathan Goldstein, Mike Barnett, John Wernsing, John Platt, Robert DeLine, Danyel Fisher, James Terwilliger, Robert DeLIne
MSR-TR-2014-54 | April 2014
Supporting Distributed Feed-Following Apps over Edge Devices
Badrish Chandramouli, Suman Nath, Wenchao Zhou
MSR-TR-2012-73 | July 2012
Physically Independent Stream Merging
Badrish Chandramouli, David Maier, Jonathan Goldstein
MSR-TR-2011-82 | July 2011
Temporal Analytics on Big Data for Web Advertising
Badrish Chandramouli, Jonathan Goldstein, Songyun Duan
MSR-TR-2011-87 | June 2011
Data Stream Management Systems for Computational Finance
Badrish Chandramouli, Mohamed Ali, Jonathan Goldstein, Beysim Sezgin, Balan S. Raman
MSR-TR-2010-130 | September 2010
Accurate Latency Estimation in a Distributed Event Processing System
Badrish Chandramouli, Jonathan Goldstein, Roger Barga, Mirek Riedewald, Ivo Santos,
MSR-TR-2010-146 | July 2010