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Joy Arulraj
Person information
- affiliation: Georgia Institute of Technology, Atlanta, GA, USA
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2020 – today
- 2024
- [c21]Xinyu Liu
, Joy Arulraj
, Alessandro Orso
:
A Framework For Inferring Properties of User-Defined Functions. ICSE 2024: 108:1-108:11 - [i12]Gaurav Tarlok Kakkar, Jiashen Cao, Aubhro Sengupta, Joy Arulraj, Hyesoon Kim:
Hydro: Adaptive Query Processing of ML Queries. CoRR abs/2403.14902 (2024) - [i11]Renzhi Wu, Pramod Chunduri, Dristi J. Shah, Ashmitha Julius Aravind, Ali Payani, Xu Chu, Joy Arulraj, Kexin Rong:
SketchQL Demonstration: Zero-shot Video Moment Querying with Sketches. CoRR abs/2405.18334 (2024) - 2023
- [j16]Jaeho Bang, Gaurav Tarlok Kakkar, Pramod Chunduri, Subrata Mitra, Joy Arulraj:
SEIDEN: Revisiting Query Processing in Video Database Systems. Proc. VLDB Endow. 16(9): 2289-2301 (2023) - [j15]Gaurav Tarlok Kakkar, Aryan Rajoria, Myna Prasanna Kalluraya, Ashmita Raju, Jiashen Cao, Kexin Rong, Joy Arulraj:
Interactive Demonstration of EVA. Proc. VLDB Endow. 16(12): 4082-4085 (2023) - [j14]Jiashen Cao, Rathijit Sen, Matteo Interlandi, Joy Arulraj, Hyesoon Kim:
GPU Database Systems Characterization and Optimization. Proc. VLDB Endow. 17(3): 441-454 (2023) - [c20]Gaurav Tarlok Kakkar
, Jiashen Cao
, Pramod Chunduri
, Zhuangdi Xu
, Suryatej Reddy Vyalla
, Prashanth Dintyala
, Anirudh Prabakaran
, Jaeho Bang
, Aubhro Sengupta
, Kaushik Ravichandran
, Ishwarya Sivakumar
, Aryan Rajoria
, Ashmita Raju
, Tushar Aggarwal
, Abdullah Shah
, Sanjana Garg
, Shashank Suman
, Myna Prasanna Kalluraya
, Subrata Mitra
, Ali Payani
, Yao Lu
, Umakishore Ramachandran
, Joy Arulraj
:
EVA: An End-to-End Exploratory Video Analytics System. DEEM@SIGMOD 2023: 8:1-8:5 - [c19]Lipeng Wan
, Jieyang Chen
, Xin Liang
, Ana Gainaru
, Qian Gong
, Qing Liu
, Ben Whitney
, Joy Arulraj
, Zhengchun Liu
, Ian T. Foster
, Scott Klasky
:
RAPIDS: Reconciling Availability, Accuracy, and Performance in Managing Geo-Distributed Scientific Data. HPDC 2023: 87-100 - [i10]Jiashen Cao, Rathijit Sen, Matteo Interlandi, Joy Arulraj, Hyesoon Kim:
Revisiting Query Performance in GPU Database Systems. CoRR abs/2302.00734 (2023) - 2022
- [j13]Joy Arulraj:
Letter from the Rising Star Award Winner. IEEE Data Eng. Bull. 45(3): 145-146 (2022) - [c18]Qi Zhou, Joy Arulraj, Shamkant B. Navathe, William Harris, Jinpeng Wu:
SPES: A Symbolic Approach to Proving Query Equivalence Under Bag Semantics. ICDE 2022: 2735-2748 - [c17]Xinyu Liu
, Qi Zhou, Joy Arulraj, Alessandro Orso:
Automatic Detection of Performance Bugs in Database Systems using Equivalent Queries. ICSE 2022: 225-236 - [c16]Pramod Chunduri, Jaeho Bang, Yao Lu, Joy Arulraj:
Zeus: Efficiently Localizing Actions in Videos using Reinforcement Learning. SIGMOD Conference 2022: 545-558 - [c15]Jiashen Cao, Karan Sarkar, Ramyad Hadidi
, Joy Arulraj, Hyesoon Kim:
FiGO: Fine-Grained Query Optimization in Video Analytics. SIGMOD Conference 2022: 559-572 - [c14]Zhuangdi Xu, Gaurav Tarlok Kakkar, Joy Arulraj, Umakishore Ramachandran:
EVA: A Symbolic Approach to Accelerating Exploratory Video Analytics with Materialized Views. SIGMOD Conference 2022: 602-616 - 2021
- [j12]Joy Arulraj, Abhijit Chatterjee
, Alexandros Daglis
, Ashutosh Dhekne
, Umakishore Ramachandran
:
eCloud: A Vision for the Evolution of the Edge-Cloud Continuum. Computer 54(5): 24-33 (2021) - [j11]Arthita Ghosh, Arpit Narechania
, Visweswara Sai Prashanth Dintyala, Su Timurturkan, Joy Arulraj, Deven Bansod:
Interactive Demonstration of SQLCHECK. Proc. VLDB Endow. 14(12): 2779-2782 (2021) - [j10]Joy Arulraj:
Accelerating Video Analytics. SIGMOD Rec. 50(4): 39-40 (2021) - [c13]Qi Zhou, Joy Arulraj, Shamkant B. Navathe, William Harris, Jinpeng Wu:
SIA: Optimizing Queries using Learned Predicates. SIGMOD Conference 2021: 2169-2181 - [c12]Xinjing Zhou, Joy Arulraj, Andrew Pavlo
, David E. Cohen:
Spitfire: A Three-Tier Buffer Manager for Volatile and Non-Volatile Memory. SIGMOD Conference 2021: 2195-2207 - [i9]Jiashen Cao, Ramyad Hadidi, Joy Arulraj, Hyesoon Kim:
THIA: Accelerating Video Analytics using Early Inference and Fine-Grained Query Planning. CoRR abs/2102.08481 (2021) - [i8]Jaeho Bang, Pramod Chunduri, Joy Arulraj:
EKO: Adaptive Sampling of Compressed Video Data. CoRR abs/2104.01671 (2021) - [i7]Pramod Chunduri, Jaeho Bang, Yao Lu, Joy Arulraj:
Zeus: Efficiently Localizing Actions in Videos using Reinforcement Learning. CoRR abs/2104.06142 (2021) - [i6]Xinyu Liu, Qi Zhou, Joy Arulraj, Alessandro Orso:
Automated Performance Bug Detection in Database Systems. CoRR abs/2105.10016 (2021) - 2020
- [j9]Abhijit Suprem, Joy Arulraj, Calton Pu, João Eduardo Ferreira:
ODIN: Automated Drift Detection and Recovery in Video Analytics. Proc. VLDB Endow. 13(11): 2453-2465 (2020) - [c11]Prashanth Dintyala, Arpit Narechania
, Joy Arulraj:
SQLCheck: Automated Detection and Diagnosis of SQL Anti-Patterns. SIGMOD Conference 2020: 2331-2345 - [i5]Qi Zhou, Joy Arulraj, Shamkant B. Navathe, William Harris, Jinpeng Wu:
SPES: A Two-Stage Query Equivalence Verifier. CoRR abs/2004.00481 (2020) - [i4]Visweswara Sai Prashanth Dintyala, Arpit Narechania, Joy Arulraj:
SQLCheck: Automated Detection and Diagnosis of SQL Anti-Patterns. CoRR abs/2004.10232 (2020) - [i3]Abhijit Suprem, Joy Arulraj, Calton Pu, João Eduardo Ferreira:
ODIN: Automated Drift Detection and Recovery in Video Analytics. CoRR abs/2009.05440 (2020)
2010 – 2019
- 2019
- [b1]Joy Arulraj, Andrew Pavlo:
Non-Volatile Memory Database Management Systems. Synthesis Lectures on Data Management, Morgan & Claypool Publishers 2019, ISBN 978-3-031-00740-8 - [j8]Qi Zhou, Joy Arulraj, Shamkant B. Navathe, William Harris, Dong Xu:
Automated Verification of Query Equivalence Using Satisfiability Modulo Theories. Proc. VLDB Endow. 12(11): 1276-1288 (2019) - [j7]Jinho Jung, Hong Hu, Joy Arulraj, Taesoo Kim, Woon-Hak Kang:
APOLLO: Automatic Detection and Diagnosis of Performance Regressions in Database Systems. Proc. VLDB Endow. 13(1): 57-70 (2019) - [c10]Jiashen Cao, Ramyad Hadidi, Joy Arulraj, Hyesoon Kim:
Video analytics from edge to server: work-in-progress. CODES+ISSS 2019: 14:1-14:2 - [c9]Joy Arulraj:
Data Management on Non-Volatile Memory. SIGMOD Conference 2019: 1114 - [i2]Joy Arulraj, Ran Xian, Lin Ma, Andrew Pavlo:
Predictive Indexing. CoRR abs/1901.07064 (2019) - [i1]Joy Arulraj, Andy Pavlo, Krishna Teja Malladi:
Multi-Tier Buffer Management and Storage System Design for Non-Volatile Memory. CoRR abs/1901.10938 (2019) - 2018
- [j6]Joy Arulraj, Justin J. Levandoski, Umar Farooq Minhas, Per-Åke Larson:
BzTree: A High-Performance Latch-free Range Index for Non-Volatile Memory. Proc. VLDB Endow. 11(5): 553-565 (2018) - 2017
- [j5]Yingjun Wu, Joy Arulraj, Jiexi Lin, Ran Xian, Andrew Pavlo
:
An Empirical Evaluation of In-Memory Multi-Version Concurrency Control. Proc. VLDB Endow. 10(7): 781-792 (2017) - [j4]Kai Ren, Qing Zheng
, Joy Arulraj, Garth Gibson:
SlimDB: A Space-Efficient Key-Value Storage Engine For Semi-Sorted Data. Proc. VLDB Endow. 10(13): 2037-2048 (2017) - [c8]Andrew Pavlo, Gustavo Angulo, Joy Arulraj, Haibin Lin, Jiexi Lin, Lin Ma, Prashanth Menon, Todd C. Mowry, Matthew Perron, Ian Quah
, Siddharth Santurkar, Anthony Tomasic, Skye Toor, Dana Van Aken, Ziqi Wang, Yingjun Wu, Ran Xian, Tieying Zhang:
Self-Driving Database Management Systems. CIDR 2017 - [c7]Joy Arulraj, Andrew Pavlo
:
How to Build a Non-Volatile Memory Database Management System. SIGMOD Conference 2017: 1753-1758 - 2016
- [j3]Peter Bailis, Joy Arulraj, Andrew Pavlo
:
Research for practice: distributed consensus and implications of NVM on database management systems. Commun. ACM 59(11): 52-55 (2016) - [j2]Joy Arulraj, Matthew Perron
, Andrew Pavlo
:
Write-Behind Logging. Proc. VLDB Endow. 10(4): 337-348 (2016) - [j1]Peter Bailis, Camille Fournier, Joy Arulraj, Andy Pavlo
:
Research for Practice: Distributed Consensus and Implications of NVM on Database Management Systems. ACM Queue 14(3): 40 (2016) - [c6]Lin Ma, Joy Arulraj, Sam Zhao, Andrew Pavlo
, Subramanya R. Dulloor, Michael J. Giardino
, Jeff Parkhurst, Jason L. Gardner, Kshitij A. Doshi, Stanley B. Zdonik:
Larger-than-memory data management on modern storage hardware for in-memory OLTP database systems. DaMoN 2016: 9:1-9:7 - [c5]Joy Arulraj, Andrew Pavlo
, Prashanth Menon:
Bridging the Archipelago between Row-Stores and Column-Stores for Hybrid Workloads. SIGMOD Conference 2016: 583-598 - 2015
- [c4]Joy Arulraj, Andrew Pavlo
, Subramanya Dulloor:
Let's Talk About Storage & Recovery Methods for Non-Volatile Memory Database Systems. SIGMOD Conference 2015: 707-722 - 2014
- [c3]Joy Arulraj, Guoliang Jin, Shan Lu
:
Leveraging the short-term memory of hardware to diagnose production-run software failures. ASPLOS 2014: 207-222 - [c2]Justin A. DeBrabant, Joy Arulraj, Andrew Pavlo, Michael Stonebraker, Stanley B. Zdonik, Subramanya Dulloor:
A Prolegomenon on OLTP Database Systems for Non-Volatile Memory. ADMS@VLDB 2014: 57-63 - 2013
- [c1]Joy Arulraj, Po-Chun Chang, Guoliang Jin, Shan Lu
:
Production-run software failure diagnosis via hardware performance counters. ASPLOS 2013: 101-112
Coauthor Index
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last updated on 2024-08-10 00:27 CEST by the dblp team
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