Joy Arulraj

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 45

Top Topics

Video Analytics

Concurrency Control

Automatic Detection

Top Venues

Proc. VLDB Endow.

SIGMOD Conference

Publications

Gaurav Tarlok Kakkar, Jiashen Cao, Aubhro Sengupta, Joy Arulraj, Hyesoon Kim
Hydro: Adaptive Query Processing of ML Queries. CoRR (2024)
Xinyu Liu, Joy Arulraj, Alessandro Orso
A Framework For Inferring Properties of User-Defined Functions. ICSE (2024)
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 (2024)
Jiashen Cao, Rathijit Sen, Matteo Interlandi, Joy Arulraj, Hyesoon Kim
GPU Database Systems Characterization and Optimization. Proc. VLDB Endow. 17 (3) (2023)
Jiashen Cao, Rathijit Sen, Matteo Interlandi, Joy Arulraj, Hyesoon Kim
Revisiting Query Performance in GPU Database Systems. CoRR (2023)
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)
Jaeho Bang, Gaurav Tarlok Kakkar, Pramod Chunduri, Subrata Mitra, Joy Arulraj
SEIDEN: Revisiting Query Processing in Video Database Systems. Proc. VLDB Endow. 16 (9) (2023)
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) (2023)
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)
Qi Zhou, Joy Arulraj, Shamkant B. Navathe, William Harris, Jinpeng Wu
SPES: A Symbolic Approach to Proving Query Equivalence Under Bag Semantics. ICDE (2022)
Joy Arulraj
Letter from the Rising Star Award Winner. IEEE Data Eng. Bull. 45 (3) (2022)
Jiashen Cao, Karan Sarkar, Ramyad Hadidi, Joy Arulraj, Hyesoon Kim
FiGO: Fine-Grained Query Optimization in Video Analytics. SIGMOD Conference (2022)
Xinyu Liu, Qi Zhou, Joy Arulraj, Alessandro Orso
Automatic Detection of Performance Bugs in Database Systems using Equivalent Queries. ICSE (2022)
Pramod Chunduri, Jaeho Bang, Yao Lu, Joy Arulraj
Zeus: Efficiently Localizing Actions in Videos using Reinforcement Learning. SIGMOD Conference (2022)
Zhuangdi Xu, Gaurav Tarlok Kakkar, Joy Arulraj, Umakishore Ramachandran
EVA: A Symbolic Approach to Accelerating Exploratory Video Analytics with Materialized Views. SIGMOD Conference (2022)
Arthita Ghosh, Arpit Narechania, Visweswara Sai Prashanth Dintyala, Su Timurturkan, Joy Arulraj, Deven Bansod
Interactive Demonstration of SQLCHECK. Proc. VLDB Endow. 14 (12) (2021)
Joy Arulraj, Abhijit Chatterjee, Alexandros Daglis, Ashutosh Dhekne, Umakishore Ramachandran
eCloud: A Vision for the Evolution of the Edge-Cloud Continuum. Computer 54 (5) (2021)
Pramod Chunduri, Jaeho Bang, Yao Lu, Joy Arulraj
Zeus: Efficiently Localizing Actions in Videos using Reinforcement Learning. CoRR (2021)
Joy Arulraj
Accelerating Video Analytics. SIGMOD Rec. 50 (4) (2021)
Xinjing Zhou, Joy Arulraj, Andrew Pavlo, David Cohen
Spitfire: A Three-Tier Buffer Manager for Volatile and Non-Volatile Memory. SIGMOD Conference (2021)
Qi Zhou, Joy Arulraj, Shamkant B. Navathe, William Harris, Jinpeng Wu
SIA: Optimizing Queries using Learned Predicates. SIGMOD Conference (2021)
Jiashen Cao, Ramyad Hadidi, Joy Arulraj, Hyesoon Kim
THIA: Accelerating Video Analytics using Early Inference and Fine-Grained Query Planning. CoRR (2021)
Xinyu Liu, Qi Zhou, Joy Arulraj, Alessandro Orso
Automated Performance Bug Detection in Database Systems. CoRR (2021)
Jaeho Bang, Pramod Chunduri, Joy Arulraj
EKO: Adaptive Sampling of Compressed Video Data. CoRR (2021)
Qi Zhou, Joy Arulraj, Shamkant B. Navathe, William Harris, Jinpeng Wu
SPES: A Two-Stage Query Equivalence Verifier. CoRR (2020)
Abhijit Suprem, Joy Arulraj, Calton Pu, João Eduardo Ferreira
ODIN: Automated Drift Detection and Recovery in Video Analytics. Proc. VLDB Endow. 13 (11) (2020)
Abhijit Suprem, Joy Arulraj, Calton Pu, João Eduardo Ferreira
ODIN: Automated Drift Detection and Recovery in Video Analytics. CoRR (2020)
Visweswara Sai Prashanth Dintyala, Arpit Narechania, Joy Arulraj
SQLCheck: Automated Detection and Diagnosis of SQL Anti-Patterns. CoRR (2020)
Prashanth Dintyala, Arpit Narechania, Joy Arulraj
SQLCheck: Automated Detection and Diagnosis of SQL Anti-Patterns. SIGMOD Conference (2020)
Joy Arulraj, Ran Xian, Lin Ma, Andrew Pavlo
Predictive Indexing. CoRR (2019)
Joy Arulraj
Data Management on Non-Volatile Memory. SIGMOD Conference (2019)
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) (2019)
Joy Arulraj, Andy Pavlo, Krishna Teja Malladi
Multi-Tier Buffer Management and Storage System Design for Non-Volatile Memory. CoRR (2019)
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) (2019)
Jiashen Cao, Ramyad Hadidi, Joy Arulraj, Hyesoon Kim
Video analytics from edge to server: work-in-progress. CODES+ISSS (2019)
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) (2018)
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) (2017)
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) (2017)
Joy Arulraj, Andrew Pavlo
How to Build a Non-Volatile Memory Database Management System. SIGMOD Conference (2017)
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)
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) (2016)
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)
Joy Arulraj, Andrew Pavlo, Prashanth Menon
Bridging the Archipelago between Row-Stores and Column-Stores for Hybrid Workloads. SIGMOD Conference (2016)
Joy Arulraj, Matthew Perron, Andrew Pavlo
Write-Behind Logging. Proc. VLDB Endow. 10 (4) (2016)
Peter Bailis, Joy Arulraj, Andrew Pavlo
Research for practice: distributed consensus and implications of NVM on database management systems. Commun. ACM 59 (11) (2016)
Joy Arulraj, Andrew Pavlo, Subramanya Dulloor
Let's Talk About Storage & Recovery Methods for Non-Volatile Memory Database Systems. SIGMOD Conference (2015)
Joy Arulraj, Guoliang Jin, Shan Lu
Leveraging the short-term memory of hardware to diagnose production-run software failures. ASPLOS (2014)
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)
Joy Arulraj, Po-Chun Chang, Guoliang Jin, Shan Lu
Production-run software failure diagnosis via hardware performance counters. ASPLOS (2013)