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Badrish Chandramouli
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2020 – today
- 2024
- [j32]Qizhen Zhang, Philip A. Bernstein, Badrish Chandramouli, Jason Hu, Yiming Zheng:
DDS: DPU-optimized Disaggregated Storage. Proc. VLDB Endow. 17(11): 3304-3317 (2024) - [j31]Xiangpeng Hao, Badrish Chandramouli:
Bf-Tree: A Modern Read-Write-Optimized Concurrent Larger-Than-Memory Range Index. Proc. VLDB Endow. 17(11): 3442-3455 (2024) - [j30]Tianyu Li, Badrish Chandramouli, Samuel Madden:
Performant almost-latch-free data structures using epoch protection in more depth. VLDB J. 33(6): 1793-1812 (2024) - [c43]Tianyu Li, Badrish Chandramouli, Sebastian Burckhardt, Samuel Madden:
Serverless State Management Systems. CIDR 2024 - [i7]Qizhen Zhang, Philip A. Bernstein, Badrish Chandramouli, Jiasheng Hu, Yiming Zheng:
DDS: DPU-optimized Disaggregated Storage [Extended Report]. CoRR abs/2407.13618 (2024) - 2023
- [j29]Tianyu Li, Badrish Chandramouli, Sebastian Burckhardt, Samuel Madden:
DARQ Matter Binds Everything: Performant and Composable Cloud Programming via Resilient Steps. Proc. ACM Manag. Data 1(2): 117:1-117:27 (2023) - [j28]Yinan Li
, Jianan Lu
Selection Pushdown in Column Stores using Bit Manipulation Instructions. Proc. ACM Manag. Data 1(2): 178:1-178:26 (2023) - [c42]Molly Jane Nicholas
Escapement: A Tool for Interactive Prototyping with Video via Sensor-Mediated Abstraction of Time. CHI 2023: 799:1-799:14 - [i6]Konstantinos Kanellis, Badrish Chandramouli, Shivaram Venkataraman:
F2: Designing a Key-Value Store for Large Skewed Workloads. CoRR abs/2305.01516 (2023) - 2022
- [j27]Sebastian Burckhardt, Badrish Chandramouli, Chris Gillum, David Justo, Konstantinos Kallas, Connor McMahon, Christopher Meiklejohn, Xiangfeng Zhu:
Netherite: Efficient Execution of Serverless Workflows. Proc. VLDB Endow. 15(8): 1591-1604 (2022) - [j26]Manos Athanassoulis
Artifacts Availability & Reproducibility (VLDB 2021 Round Table). SIGMOD Rec. 51(2): 74-77 (2022) - [c41]Qizhen Zhang, Philip A. Bernstein, Daniel S. Berger, Badrish Chandramouli, Vincent Liu, Boon Thau Loo
CompuCache: Remote Computable Caching using Spot VMs. CIDR 2022 - [c40]Tianyu Li, Badrish Chandramouli, Samuel Madden:
Performant Almost-Latch-Free Data Structures Using Epoch Protection. DaMoN 2022: 1:1-1:10 - 2021
- [j25]Walter Cai, Philip A. Bernstein, Wentao Wu, Badrish Chandramouli:
Optimization of Threshold Functions over Streams. Proc. VLDB Endow. 14(6): 878-889 (2021) - [j24]Chinmay Kulkarni
Achieving High Throughput and Elasticity in a Larger-than-Memory Store. Proc. VLDB Endow. 14(8): 1427-1440 (2021) - [j23]Dominik Durner, Badrish Chandramouli, Yinan Li:
Crystal: A Unified Cache Storage System for Analytical Databases. Proc. VLDB Endow. 14(11): 2432-2444 (2021) - [j22]Qizhen Zhang, Philip A. Bernstein, Daniel S. Berger, Badrish Chandramouli:
Redy: Remote Dynamic Memory Cache. Proc. VLDB Endow. 15(4): 766-779 (2021) - [c39]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:
FastVer: Making Data Integrity a Commodity. SIGMOD Conference 2021: 89-101 - [c38]Jialin Ding, Umar Farooq Minhas, Badrish Chandramouli, Chi Wang, Yinan Li, Ying Li, Donald Kossmann, Johannes Gehrke, Tim Kraska:
Instance-Optimized Data Layouts for Cloud Analytics Workloads. SIGMOD Conference 2021: 418-431 - [c37]Tianyu Li
Asynchronous Prefix Recoverability for Fast Distributed Stores. SIGMOD Conference 2021: 1090-1102 - [i5]Qizhen Zhang, Philip A. Bernstein, Daniel S. Berger, Badrish Chandramouli:
Redy: Remote Dynamic Memory Cache. CoRR abs/2112.12946 (2021) - 2020
- [j21]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:
A.M.B.R.O.S.I.A: Providing Performant Virtual Resiliency for Distributed Applications. Proc. VLDB Endow. 13(5): 588-601 (2020) - [j20]Guna Prasaad
Concurrent Prefix Recovery: Performing CPR on a Database. SIGMOD Rec. 49(1): 16-23 (2020) - [c36]Zongheng Yang, Badrish Chandramouli, Chi Wang, Johannes Gehrke, Yinan Li, Umar Farooq Minhas, Per-Åke Larson, Donald Kossmann, Rajeev Acharya:
Qd-tree: Learning Data Layouts for Big Data Analytics. SIGMOD Conference 2020: 193-208 - [c35]Jialin Ding, Umar Farooq Minhas, Jia Yu
ALEX: An Updatable Adaptive Learned Index. SIGMOD Conference 2020: 969-984 - [c34]Frederik Brudy, David Ledo, Michel Pahud, Nathalie Henry Riche, Christian Holz
SurfaceFleet: Exploring Distributed Interactions Unbounded from Device, Application, User, and Time. UIST 2020: 7-21 - [i4]Zongheng Yang, Badrish Chandramouli, Chi Wang, Johannes Gehrke, Yinan Li, Umar Farooq Minhas, Per-Åke Larson, Donald Kossmann, Rajeev Acharya:
Qd-tree: Learning Data Layouts for Big Data Analytics. CoRR abs/2004.10898 (2020) - [i3]Chinmay Kulkarni
Achieving High Throughput and Elasticity in a Larger-than-Memory Store. CoRR abs/2006.03206 (2020)
2010 – 2019
- 2019
- [j19]Badrish Chandramouli, Dong Xie
FishStore: Fast Ingestion and Indexing of Raw Data. Proc. VLDB Endow. 12(12): 1922-1925 (2019) - [c33]Ibrahim Sabek
CRA: Enabling Data-Intensive Applications in Containerized Environments. ICDE 2019: 1762-1765 - [c32]Guna Prasaad
Concurrent Prefix Recovery: Performing CPR on a Database. SIGMOD Conference 2019: 687-704 - [c31]Chang Ge
Speculative Distributed CSV Data Parsing for Big Data Analytics. SIGMOD Conference 2019: 883-899 - [c30]Dong Xie
FishStore: Faster Ingestion with Subset Hashing. SIGMOD Conference 2019: 1711-1728 - [i2]Jialin Ding, Umar Farooq Minhas, Hantian Zhang, Yinan Li, Chi Wang, Badrish Chandramouli, Johannes Gehrke, Donald Kossmann, David B. Lomet:
ALEX: An Updatable Adaptive Learned Index. CoRR abs/1905.08898 (2019) - 2018
- [j18]Badrish Chandramouli, Guna Prasaad
FASTER: An Embedded Concurrent Key-Value Store for State Management. Proc. VLDB Endow. 11(12): 1930-1933 (2018) - [c29]Badrish Chandramouli, Jonathan Goldstein, Yinan Li:
Impatience Is a Virtue: Revisiting Disorder in High-Performance Log Analytics. ICDE 2018: 677-688 - [c28]Badrish Chandramouli, Guna Prasaad, Donald Kossmann, Justin J. Levandoski, James Hunter, Mike Barnett:
FASTER: A Concurrent Key-Value Store with In-Place Updates. SIGMOD Conference 2018: 275-290 - [e1]Malú Castellanos, Panos K. Chrysanthis
Proceedings of the International Workshop on Real-Time Business Intelligence and Analytics, BIRTE 2018, Rio de Janeiro, Brazil, August 27, 2018. ACM 2018 [contents] - 2017
- [j17]Badrish Chandramouli, Jonathan Goldstein:
Shrink - Prescribing Resiliency Solutions for Streaming. Proc. VLDB Endow. 10(5): 505-516 (2017) - [j16]Yinan Li, Nikos R. Katsipoulakis, Badrish Chandramouli, Jonathan Goldstein, Donald Kossmann:
Mison: A Fast JSON Parser for Data Analytics. Proc. VLDB Endow. 10(10): 1118-1129 (2017) - [c27]Milos Nikolic, Badrish Chandramouli, Jonathan Goldstein:
Enabling Deep Analytics in Stream Processing Systems. BICOD 2017: 94-98 - [c26]Badrish Chandramouli, Johannes Gehrke, Jonathan Goldstein, Donald Kossmann, Justin J. Levandoski, Renato Marroquín, Wenlei Xie:
READY: Completeness is in the Eye of the Beholder. CIDR 2017 - [c25]Milos Nikolic, Badrish Chandramouli, Jonathan Goldstein:
Enabling Signal Processing over Data Streams. SIGMOD Conference 2017: 95-108 - 2016
- [j15]Badrish Chandramouli, Raul Castro Fernandez, Jonathan Goldstein, Ahmed Eldawy, Abdul Quamar:
Quill: Efficient, Transferable, and Rich Analytics at Scale. Proc. VLDB Endow. 9(14): 1623-1634 (2016) - [c24]Leilani Battle, Danyel Fisher
Making Sense of Temporal Queries with Interactive Visualization. CHI 2016: 5433-5443 - [c23]Badrish Chandramouli, Justin J. Levandoski, Eli Cortez:
ICE: Managing cold state for big data applications. ICDE 2016: 457-468 - 2015
- [j14]David Maier, Badrish Chandramouli:
Letter from the Special Issue Editors. IEEE Data Eng. Bull. 38(4): 2 (2015) - [j13]Badrish Chandramouli, Jonathan Goldstein, Mike Barnett, James F. Terwilliger:
Trill: Engineering a Library for Diverse Analytics. IEEE Data Eng. Bull. 38(4): 51-60 (2015) - [c22]Robert DeLine, Danyel Fisher
Tempe: Live scripting for live data. VL/HCC 2015: 137-141 - 2014
- [j12]Badrish Chandramouli, Jonathan Goldstein, Mike Barnett, Robert DeLine, John C. Platt, James F. Terwilliger, John Wernsing:
Trill: A High-Performance Incremental Query Processor for Diverse Analytics. Proc. VLDB Endow. 8(4): 401-412 (2014) - [c21]Badrish Chandramouli:
Building Engines and Platforms for the Big Data Age. BIRTE 2014: 23-37 - [c20]Badrish Chandramouli, Jonathan Goldstein:
Patience is a virtue: revisiting merge and sort on modern processors. SIGMOD Conference 2014: 731-742 - 2013
- [j11]Debprakash Patnaik, Srivatsan Laxman, Badrish Chandramouli, Naren Ramakrishnan
A general streaming algorithm for pattern discovery. Knowl. Inf. Syst. 37(3): 585-610 (2013) - [j10]Ivo Santos, Marcel Tilly, Badrish Chandramouli, Jonathan Goldstein:
DiAl: Distributed Streaming Analytics Anywhere, Anytime. Proc. VLDB Endow. 6(12): 1386-1389 (2013) - [j9]Badrish Chandramouli, Suman Nath
Supporting Distributed Feed-Following Apps over Edge Devices. Proc. VLDB Endow. 6(13): 1570-1581 (2013) - [j8]Badrish Chandramouli, Jonathan Goldstein, Abdul Quamar:
Scalable Progressive Analytics on Big Data in the Cloud. Proc. VLDB Endow. 6(14): 1726-1737 (2013) - [c19]Vivek R. Narasayya, Sudipto Das, Manoj Syamala, Badrish Chandramouli, Surajit Chaudhuri:
SQLVM: Performance Isolation in Multi-Tenant Relational Database-as-a-Service. CIDR 2013 - [c18]Mike Barnett, Badrish Chandramouli, Robert DeLine, Steven Mark Drucker, Danyel Fisher
Stat!: an interactive analytics environment for big data. SIGMOD Conference 2013: 1013-1016 - 2012
- [c17]Badrish Chandramouli, Jonathan Goldstein, Songyun Duan:
Temporal Analytics on Big Data for Web Advertising. ICDE 2012: 90-101 - [c16]Badrish Chandramouli, David Maier, Jonathan Goldstein:
Physically Independent Stream Merging. ICDE 2012: 150-161 - [c15]Debprakash Patnaik, Srivatsan Laxman, Badrish Chandramouli, Naren Ramakrishnan
Efficient Episode Mining of Dynamic Event Streams. ICDM 2012: 605-614 - [c14]Badrish Chandramouli, Joris Claessens, Suman Nath
RACE: real-time applications over cloud-edge. SIGMOD Conference 2012: 625-628 - [i1]Debprakash Patnaik, Naren Ramakrishnan, Srivatsan Laxman, Badrish Chandramouli:
Streaming Algorithms for Pattern Discovery over Dynamically Changing Event Sequences. CoRR abs/1205.4477 (2012) - 2011
- [j7]Mohamed H. Ali, Badrish Chandramouli, Jonathan Fay, Curtis Wong, Steven Mark Drucker, Balan Sethu Raman:
Online Visualization of Geospatial Stream Data using the WorldWide Telescope. Proc. VLDB Endow. 4(12): 1379-1382 (2011) - [c13]Badrish Chandramouli, Jonathan Goldstein, Roger S. Barga, Mirek Riedewald, Ivo Santos:
Accurate latency estimation in a distributed event processing system. ICDE 2011: 255-266 - [c12]Mohamed H. Ali, Badrish Chandramouli, Jonathan Goldstein, Roman Schindlauer:
The extensibility framework in Microsoft StreamInsight. ICDE 2011: 1242-1253 - [c11]Badrish Chandramouli, Justin J. Levandoski, Ahmed Eldawy
StreamRec: a real-time recommender system. SIGMOD Conference 2011: 1243-1246 - 2010
- [j6]Badrish Chandramouli, Mohamed H. Ali, Jonathan Goldstein, Beysim Sezgin, Balan Sethu Raman:
Data Stream Management Systems for Computational Finance. Computer 43(12): 45-52 (2010) - [j5]Mohamed H. Ali, Badrish Chandramouli, Balan Sethu Raman, Ed Katibah:
Spatio-Temporal Stream Processing in Microsoft StreamInsight. IEEE Data Eng. Bull. 33(2): 69-74 (2010) - [j4]Badrish Chandramouli, Jonathan Goldstein, David Maier:
High-Performance Dynamic Pattern Matching over Disordered Streams. Proc. VLDB Endow. 3(1): 220-231 (2010) - [c10]Mohamed H. Ali, Badrish Chandramouli, Balan Sethu Raman, Ed Katibah:
Real-time spatio-temporal analytics using Microsoft StreamInsight. GIS 2010: 542-543 - [c9]Alex Raizman, Asvin Ananthanarayan, Anton Kirilov, Badrish Chandramouli, Mohamed H. Ali:
An extensible test framework for the Microsoft StreamInsight query processor. DBTest 2010
2000 – 2009
- 2009
- [j3]Badrish Chandramouli, Jonathan Goldstein, David Maier:
On-the-fly Progress Detection in Iterative Stream Queries. Proc. VLDB Endow. 2(1): 241-252 (2009) - [j2]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:
Microsoft CEP Server and Online Behavioral Targeting. Proc. VLDB Endow. 2(2): 1558-1561 (2009) - 2008
- [b1]Badrish Chandramouli:
Unifying Databases and Internet-Scale Publish/Subscribe. Duke University, Durham, NC, USA, 2008 - [j1]Badrish Chandramouli, Jun Yang:
End-to-end support for joins in large-scale publish/subscribe systems. Proc. VLDB Endow. 1(1): 434-450 (2008) - [c8]Badrish Chandramouli, Jun Yang, Pankaj K. Agarwal, Albert Yu, Ying Zheng:
ProSem: scalable wide-area publish/subscribe. SIGMOD Conference 2008: 1315-1318 - 2007
- [c7]Badrish Chandramouli, Christopher N. Bond, Shivnath Babu, Jun Yang:
On Suspending and Resuming Dataflows. ICDE 2007: 1289-1291 - [c6]Badrish Chandramouli, Christopher N. Bond, Shivnath Babu, Jun Yang:
Query suspend and resume. SIGMOD Conference 2007: 557-568 - [c5]Badrish Chandramouli, Jeff M. Phillips, Jun Yang:
Value-Based Notification Conditions in Large-Scale Publish/Subscribe Systems. VLDB 2007: 878-889 - 2006
- [c4]Badrish Chandramouli, Jun Yang, Amin Vahdat:
Distributed Network Querying with Bounded Approximate Caching. DASFAA 2006: 374-388 - [c3]Badrish Chandramouli, Junyi Xie, Jun Yang:
On the database/network interface in large-scale publish/subscribe systems. SIGMOD Conference 2006: 587-598 - 2005
- [c2]Badrish Chandramouli, Hui Lei, Kumar Bhaskaran, Henry Chang, Michael J. Dikun, Terry Heath:
Pushing the envelope of pervasive access. ICPS 2005: 291-301 - [c1]Liangzhao Zeng, Hui Lei, Badrish Chandramouli:
Semantic Tuplespace. ICSOC 2005: 366-381
Coauthor Index
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last updated on 2024-11-06 20:28 CET by the dblp team
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