Badrish Chandramouli

According to our database, Badrish Chandramouli authored at least 75 papers between 2005 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2024

Serverless State Management Systems.

Tianyu Li, Badrish Chandramouli, Sebastian Burckhardt, Samuel Madden

Proceedings of the 14th Conference on Innovative Data Systems Research, 2024

2023

Selection Pushdown in Column Stores using Bit Manipulation Instructions.

Yinan Li, Jianan Lu, Badrish Chandramouli

Proc. ACM Manag. Data, 2023

DARQ Matter Binds Everything: Performant and Composable Cloud Programming via Resilient Steps.

Tianyu Li, Badrish Chandramouli, Sebastian Burckhardt, Samuel Madden

Proc. ACM Manag. Data, 2023

F2: Designing a Key-Value Store for Large Skewed Workloads.

Konstantinos Kanellis, Badrish Chandramouli, Shivaram Venkataraman

CoRR, 2023

Escapement: A Tool for Interactive Prototyping with Video via Sensor-Mediated Abstraction of Time.

Molly Jane Nicholas, Nicolai Marquardt, Michel Pahud, Nathalie Riche, Hugo Romat, Christopher Collins, David Ledo, Rohan Kadekodi, Badrish Chandramouli, Ken Hinckley

Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023

2022

Artifacts Availability & Reproducibility (VLDB 2021 Round Table).

Manos Athanassoulis, Peter Triantafillou, Raja Appuswamy, Rajesh Bordawekar, Badrish Chandramouli, Xuntao Cheng, Ioana Manolescu, Yannis Papakonstantinou, Nesime Tatbul

SIGMOD Rec., 2022

Netherite: Efficient Execution of Serverless Workflows.

Sebastian Burckhardt, Badrish Chandramouli, Chris Gillum, David Justo, Konstantinos Kallas, Connor McMahon, Christopher Meiklejohn, Xiangfeng Zhu

Proc. VLDB Endow., 2022

Performant Almost-Latch-Free Data Structures Using Epoch Protection.

Tianyu Li, Badrish Chandramouli, Samuel Madden

Proceedings of the International Conference on Management of Data, 2022

CompuCache: Remote Computable Caching using Spot VMs.

Qizhen Zhang, Philip A. Bernstein, Daniel S. Berger, Badrish Chandramouli, Vincent Liu, Boon Thau Loo

Proceedings of the 12th Conference on Innovative Data Systems Research, 2022

2021

Redy: Remote Dynamic Memory Cache.

Qizhen Zhang, Philip A. Bernstein, Daniel S. Berger, Badrish Chandramouli

Proc. VLDB Endow., 2021

Achieving High Throughput and Elasticity in a Larger-than-Memory Store.

Chinmay Kulkarni, Badrish Chandramouli, Ryan Stutsman

Proc. VLDB Endow., 2021

Crystal: A Unified Cache Storage System for Analytical Databases.

Dominik Durner, Badrish Chandramouli, Yinan Li

Proc. VLDB Endow., 2021

Optimization of Threshold Functions over Streams.

Walter Cai, Philip A. Bernstein, Wentao Wu, Badrish Chandramouli

Proc. VLDB Endow., 2021

Asynchronous Prefix Recoverability for Fast Distributed Stores.

Tianyu Li, Badrish Chandramouli, Jose M. Faleiro, Samuel Madden, Donald Kossmann

Proceedings of the SIGMOD '21: International Conference on Management of Data, 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

Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

FastVer: Making Data Integrity a Commodity.

Arvind Arasu, Badrish Chandramouli, Johannes Gehrke, Esha Ghosh, Donald Kossmann, Jonathan Protzenko, Ravi Ramamurthy, Tahina Ramananandro, Aseem Rastogi, Srinath T. V. Setty, Nikhil Swamy, Alexander van Renen, Min Xu

Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

2020

Concurrent Prefix Recovery: Performing CPR on a Database.

Guna Prasaad, Badrish Chandramouli, Donald Kossmann

SIGMOD Rec., 2020

A.M.B.R.O.S.I.A: Providing Performant Virtual Resiliency for Distributed Applications.

Jonathan Goldstein, Ahmed S. Abdelhamid, Mike Barnett, Sebastian Burckhardt, Badrish Chandramouli, Darren Gehring, Niel Lebeck, Christopher Meiklejohn, Umar Farooq Minhas, Ryan Newton, Rahee Peshawaria, Tal Zaccai, Irene Zhang

Proc. VLDB Endow., 2020

SurfaceFleet: Exploring Distributed Interactions Unbounded from Device, Application, User, and Time.

Frederik Brudy, David Ledo, Michel Pahud, Nathalie Henry Riche, Christian Holz, Anand Waghmare, Hemant Bhaskar Surale, Marcus Peinado, Xiaokuan Zhang, Shannon Joyner, Badrish Chandramouli, Umar Farooq Minhas, Jonathan Goldstein, William Buxton, Ken Hinckley

Proceedings of the UIST '20: The 33rd Annual ACM Symposium on User Interface Software and Technology, 2020

Qd-tree: Learning Data Layouts for Big Data Analytics.

Zongheng Yang, Badrish Chandramouli, Chi Wang, Johannes Gehrke, Yinan Li, Umar Farooq Minhas, Per-Åke Larson, Donald Kossmann, Rajeev Acharya

Proceedings of the 2020 International Conference on Management of Data, 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 B. Lomet, Tim Kraska

Proceedings of the 2020 International Conference on Management of Data, 2020

2019

FishStore: Fast Ingestion and Indexing of Raw Data.

Badrish Chandramouli, Dong Xie, Yinan Li, Donald Kossmann

Proc. VLDB Endow., 2019

ALEX: An Updatable Adaptive Learned Index.

Jialin Ding, Umar Farooq Minhas, Hantian Zhang, Yinan Li, Chi Wang, Badrish Chandramouli, Johannes Gehrke, Donald Kossmann, David B. Lomet

CoRR, 2019

FishStore: Faster Ingestion with Subset Hashing.

Dong Xie, Badrish Chandramouli, Yinan Li, Donald Kossmann

Proceedings of the 2019 International Conference on Management of Data, 2019

Speculative Distributed CSV Data Parsing for Big Data Analytics.

Chang Ge, Yinan Li, Eric Eilebrecht, Badrish Chandramouli, Donald Kossmann

Proceedings of the 2019 International Conference on Management of Data, 2019

CRA: Enabling Data-Intensive Applications in Containerized Environments.

Ibrahim Sabek, Badrish Chandramouli, Umar Farooq Minhas

Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

2018

FASTER: An Embedded Concurrent Key-Value Store for State Management.

Badrish Chandramouli, Guna Prasaad, Donald Kossmann, Justin J. Levandoski, James Hunter, Mike Barnett

Proc. VLDB Endow., 2018

FASTER: A Concurrent Key-Value Store with In-Place Updates.

Badrish Chandramouli, Guna Prasaad, Donald Kossmann, Justin J. Levandoski, James Hunter, Mike Barnett

Proceedings of the 2018 International Conference on Management of Data, 2018

Impatience Is a Virtue: Revisiting Disorder in High-Performance Log Analytics.

Badrish Chandramouli, Jonathan Goldstein, Yinan Li

Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

2017

Mison: A Fast JSON Parser for Data Analytics.

Yinan Li, Nikos R. Katsipoulakis, Badrish Chandramouli, Jonathan Goldstein, Donald Kossmann

Proc. VLDB Endow., 2017

Shrink - Prescribing Resiliency Solutions for Streaming.

Badrish Chandramouli, Jonathan Goldstein

Proc. VLDB Endow., 2017

Enabling Signal Processing over Data Streams.

Milos Nikolic, Badrish Chandramouli, Jonathan Goldstein

Proceedings of the 2017 ACM International Conference on Management of Data, 2017

READY: Completeness is in the Eye of the Beholder.

Badrish Chandramouli, Johannes Gehrke, Jonathan Goldstein, Donald Kossmann, Justin J. Levandoski, Renato Marroquín, Wenlei Xie

Proceedings of the 8th Biennial Conference on Innovative Data Systems Research, 2017

Enabling Deep Analytics in Stream Processing Systems.

Milos Nikolic, Badrish Chandramouli, Jonathan Goldstein

Proceedings of the Data Analytics - 31st British International Conference on Databases, 2017

2016

Quill: Efficient, Transferable, and Rich Analytics at Scale.

Badrish Chandramouli, Raul Castro Fernandez, Jonathan Goldstein, Ahmed Eldawy, Abdul Quamar

Proc. VLDB Endow., 2016

ICE: Managing cold state for big data applications.

Badrish Chandramouli, Justin J. Levandoski, Eli Cortez

Proceedings of the 32nd IEEE International Conference on Data Engineering, 2016

Making Sense of Temporal Queries with Interactive Visualization.

Leilani Battle, Danyel Fisher, Robert DeLine, Mike Barnett, Badrish Chandramouli, Jonathan Goldstein

Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems, 2016

2015

Letter from the Special Issue Editors.

David Maier, Badrish Chandramouli

IEEE Data Eng. Bull., 2015

Trill: Engineering a Library for Diverse Analytics.

Badrish Chandramouli, Jonathan Goldstein, Mike Barnett, James F. Terwilliger

IEEE Data Eng. Bull., 2015

Tempe: Live scripting for live data.

Robert DeLine, Danyel Fisher, Badrish Chandramouli, Jonathan Goldstein, Michael Barnett, James F. Terwilliger, John Wernsing

Proceedings of the 2015 IEEE Symposium on Visual Languages and Human-Centric Computing, 2015

2014

Trill: A High-Performance Incremental Query Processor for Diverse Analytics.

Badrish Chandramouli, Jonathan Goldstein, Mike Barnett, Robert DeLine, John C. Platt, James F. Terwilliger, John Wernsing

Proc. VLDB Endow., 2014

Patience is a virtue: revisiting merge and sort on modern processors.

Badrish Chandramouli, Jonathan Goldstein

Proceedings of the International Conference on Management of Data, 2014

Building Engines and Platforms for the Big Data Age.

Badrish Chandramouli

Proceedings of the Enabling Real-Time Business Intelligence - International Workshops, 2014

2013

DiAl: Distributed Streaming Analytics Anywhere, Anytime.

Ivo Santos, Marcel Tilly, Badrish Chandramouli, Jonathan Goldstein

Proc. VLDB Endow., 2013

Supporting Distributed Feed-Following Apps over Edge Devices.

Badrish Chandramouli, Suman Nath, Wenchao Zhou

Proc. VLDB Endow., 2013

Scalable Progressive Analytics on Big Data in the Cloud.

Badrish Chandramouli, Jonathan Goldstein, Abdul Quamar

Proc. VLDB Endow., 2013

A general streaming algorithm for pattern discovery.

Debprakash Patnaik, Srivatsan Laxman, Badrish Chandramouli, Naren Ramakrishnan

Knowl. Inf. Syst., 2013

Stat!: an interactive analytics environment for big data.

Mike Barnett, Badrish Chandramouli, Robert DeLine, Steven Mark Drucker, Danyel Fisher, Jonathan Goldstein, Patrick Morrison, John C. Platt

Proceedings of the ACM SIGMOD International Conference on Management of Data, 2013

SQLVM: Performance Isolation in Multi-Tenant Relational Database-as-a-Service.

Vivek R. Narasayya, Sudipto Das, Manoj Syamala, Badrish Chandramouli, Surajit Chaudhuri

Proceedings of the Sixth Biennial Conference on Innovative Data Systems Research, 2013

2012

Streaming Algorithms for Pattern Discovery over Dynamically Changing Event Sequences

Debprakash Patnaik, Naren Ramakrishnan, Srivatsan Laxman, Badrish Chandramouli

CoRR, 2012

RACE: real-time applications over cloud-edge.

Badrish Chandramouli, Joris Claessens, Suman Nath, Ivo Santos, Wenchao Zhou

Proceedings of the ACM SIGMOD International Conference on Management of Data, 2012

Efficient Episode Mining of Dynamic Event Streams.

Debprakash Patnaik, Srivatsan Laxman, Badrish Chandramouli, Naren Ramakrishnan

Proceedings of the 12th IEEE International Conference on Data Mining, 2012

Physically Independent Stream Merging.

Badrish Chandramouli, David Maier, Jonathan Goldstein

Proceedings of the IEEE 28th International Conference on Data Engineering (ICDE 2012), 2012

Temporal Analytics on Big Data for Web Advertising.

Badrish Chandramouli, Jonathan Goldstein, Songyun Duan

Proceedings of the IEEE 28th International Conference on Data Engineering (ICDE 2012), 2012

2011

Online Visualization of Geospatial Stream Data using the WorldWide Telescope.

Mohamed H. Ali, Badrish Chandramouli, Jonathan Fay, Curtis Wong, Steven Mark Drucker, Balan Sethu Raman

Proc. VLDB Endow., 2011

StreamRec: a real-time recommender system.

Badrish Chandramouli, Justin J. Levandoski, Ahmed Eldawy, Mohamed F. Mokbel

Proceedings of the ACM SIGMOD International Conference on Management of Data, 2011

Accurate latency estimation in a distributed event processing system.

Badrish Chandramouli, Jonathan Goldstein, Roger S. Barga, Mirek Riedewald, Ivo Santos

Proceedings of the 27th International Conference on Data Engineering, 2011

The extensibility framework in Microsoft StreamInsight.

Mohamed H. Ali, Badrish Chandramouli, Jonathan Goldstein, Roman Schindlauer

Proceedings of the 27th International Conference on Data Engineering, 2011

2010

High-Performance Dynamic Pattern Matching over Disordered Streams.

Badrish Chandramouli, Jonathan Goldstein, David Maier

Proc. VLDB Endow., 2010

Spatio-Temporal Stream Processing in Microsoft StreamInsight.

Mohamed H. Ali, Badrish Chandramouli, Balan Sethu Raman, Ed Katibah

IEEE Data Eng. Bull., 2010

Data Stream Management Systems for Computational Finance.

Badrish Chandramouli, Mohamed H. Ali, Jonathan Goldstein, Beysim Sezgin, Balan Sethu Raman

Computer, 2010

An extensible test framework for the Microsoft StreamInsight query processor.

Alex Raizman, Asvin Ananthanarayan, Anton Kirilov, Badrish Chandramouli, Mohamed H. Ali

Proceedings of the Third International Workshop on Testing Database Systems, 2010

Real-time spatio-temporal analytics using Microsoft StreamInsight.

Mohamed H. Ali, Badrish Chandramouli, Balan Sethu Raman, Ed Katibah

Proceedings of the 18th ACM SIGSPATIAL International Symposium on Advances in Geographic Information Systems, 2010

2009

On-the-fly Progress Detection in Iterative Stream Queries.

Badrish Chandramouli, Jonathan Goldstein, David Maier

Proc. VLDB Endow., 2009

Microsoft CEP Server and Online Behavioral Targeting.

Mohamed H. Ali, Ciprian Gerea, Balan Sethu Raman, 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

Proc. VLDB Endow., 2009

2008

Unifying Databases and Internet-Scale Publish/Subscribe.

Badrish Chandramouli

PhD thesis, 2008

End-to-end support for joins in large-scale publish/subscribe systems.

Badrish Chandramouli, Jun Yang

Proc. VLDB Endow., 2008

ProSem: scalable wide-area publish/subscribe.

Badrish Chandramouli, Jun Yang, Pankaj K. Agarwal, Albert Yu, Ying Zheng

Proceedings of the ACM SIGMOD International Conference on Management of Data, 2008

2007

Value-Based Notification Conditions in Large-Scale Publish/Subscribe Systems.

Badrish Chandramouli, Jeff M. Phillips, Jun Yang

Proceedings of the 33rd International Conference on Very Large Data Bases, 2007

Query suspend and resume.

Badrish Chandramouli, Christopher N. Bond, Shivnath Babu, Jun Yang

Proceedings of the ACM SIGMOD International Conference on Management of Data, 2007

On Suspending and Resuming Dataflows.

Badrish Chandramouli, Christopher N. Bond, Shivnath Babu, Jun Yang

Proceedings of the 23rd International Conference on Data Engineering, 2007

2006

On the database/network interface in large-scale publish/subscribe systems.

Badrish Chandramouli, Junyi Xie, Jun Yang

Proceedings of the ACM SIGMOD International Conference on Management of Data, 2006

Distributed Network Querying with Bounded Approximate Caching.

Badrish Chandramouli, Jun Yang, Amin Vahdat

Proceedings of the Database Systems for Advanced Applications, 2006

2005

Semantic Tuplespace.

Liangzhao Zeng, Hui Lei, Badrish Chandramouli

Proceedings of the Service-Oriented Computing, 2005

Pushing the envelope of pervasive access.

Badrish Chandramouli, Hui Lei, Kumar Bhaskaran, Henry Chang, Michael J. Dikun, Terry Heath

Proceedings of the International Conference on Pervasive Services 2005, 2005