Production-run software failure diagnosis via hardware performance counters. - Joy Arulraj; Po-Chun Chang; Guoliang Jin; Shan Lu 001 (ASPLOS, 2013)

Leveraging the short-term memory of hardware to diagnose production-run software failures. - Joy Arulraj; Guoliang Jin; Shan Lu 001 (ASPLOS, 2014)

A Prolegomenon on OLTP Database Systems for Non-Volatile Memory. - Justin A. DeBrabant; Joy Arulraj; Andrew Pavlo; Michael Stonebraker; Stanley B. Zdonik; Subramanya Dulloor (ADMS@VLDB, 2014)

Let's Talk About Storage & Recovery Methods for Non-Volatile Memory Database Systems. - Joy Arulraj; Andrew Pavlo; Subramanya Dulloor (SIGMOD Conference, 2015)

Larger-than-memory data management on modern storage hardware for in-memory OLTP database systems. - Lin Ma 006; Joy Arulraj; Sam Zhao; Andrew Pavlo; Subramanya R. Dulloor; Michael J. Giardino; Jeff Parkhurst; Jason L. Gardner; Kshitij A. Doshi; Stanley B. Zdonik (DaMoN, 2016)

Bridging the Archipelago between Row-Stores and Column-Stores for Hybrid Workloads. - Joy Arulraj; Andrew Pavlo; Prashanth Menon (SIGMOD Conference, 2016)

Research for practice: distributed consensus and implications of NVM on database management systems. - Peter Bailis; Joy Arulraj; Andrew Pavlo (Commun. ACM, 2016)

Write-Behind Logging. - Joy Arulraj; Matthew Perron; Andrew Pavlo (Proc. VLDB Endow., 2016)

Research for Practice: Distributed Consensus and Implications of NVM on Database Management Systems. - Peter Bailis; Camille Fournier; Joy Arulraj; Andy Pavlo (ACM Queue, 2016)

Self-Driving Database Management Systems. - Andrew Pavlo; Gustavo Angulo; Joy Arulraj; Haibin Lin; Jiexi Lin; Lin Ma 006; Prashanth Menon; Todd C. Mowry; Matthew Perron; Ian Quah; Siddharth Santurkar; Anthony Tomasic; et al. (CIDR, 2017)

How to Build a Non-Volatile Memory Database Management System. - Joy Arulraj; Andrew Pavlo (SIGMOD Conference, 2017)

SlimDB: A Space-Efficient Key-Value Storage Engine For Semi-Sorted Data. - Kai Ren 001; Qing Zheng; Joy Arulraj; Garth Gibson (Proc. VLDB Endow., 2017)

An Empirical Evaluation of In-Memory Multi-Version Concurrency Control. - Yingjun Wu; Joy Arulraj; Jiexi Lin; Ran Xian; Andrew Pavlo (Proc. VLDB Endow., 2017)

BzTree: A High-Performance Latch-free Range Index for Non-Volatile Memory. - Joy Arulraj; Justin J. Levandoski; Umar Farooq Minhas; Per-Åke Larson (Proc. VLDB Endow., 2018)

Video analytics from edge to server: work-in-progress. - Jiashen Cao; Ramyad Hadidi; Joy Arulraj; Hyesoon Kim (CODES+ISSS, 2019)

Data Management on Non-Volatile Memory. - Joy Arulraj (SIGMOD Conference, 2019)

Predictive Indexing. - Joy Arulraj; Ran Xian; Lin Ma 006; Andrew Pavlo (CoRR, 2019)

Multi-Tier Buffer Management and Storage System Design for Non-Volatile Memory. - Joy Arulraj; Andy Pavlo; Krishna Teja Malladi (CoRR, 2019)

APOLLO: Automatic Detection and Diagnosis of Performance Regressions in Database Systems. - Jinho Jung 001; Hong Hu 004; Joy Arulraj; Taesoo Kim; Woon-Hak Kang (Proc. VLDB Endow., 2019)

Automated Verification of Query Equivalence Using Satisfiability Modulo Theories. - Qi Zhou 010; Joy Arulraj; Shamkant B. Navathe; William Harris; Dong Xu (Proc. VLDB Endow., 2019)

Non-Volatile Memory Database Management Systems - Joy Arulraj; Andrew Pavlo (Morgan & Claypool Publishers, 2019)

SQLCheck: Automated Detection and Diagnosis of SQL Anti-Patterns. - Prashanth Dintyala; Arpit Narechania; Joy Arulraj (SIGMOD Conference, 2020)

SPES: A Two-Stage Query Equivalence Verifier. - Qi Zhou 010; Joy Arulraj; Shamkant B. Navathe; William Harris; Jinpeng Wu (CoRR, 2020)

ODIN: Automated Drift Detection and Recovery in Video Analytics. - Abhijit Suprem; Joy Arulraj; Calton Pu; João Eduardo Ferreira (Proc. VLDB Endow., 2020)

SIA: Optimizing Queries using Learned Predicates. - Qi Zhou 010; Joy Arulraj; Shamkant B. Navathe; William Harris; Jinpeng Wu (SIGMOD Conference, 2021)

Spitfire: A Three-Tier Buffer Manager for Volatile and Non-Volatile Memory. - Xinjing Zhou; Joy Arulraj; Andrew Pavlo; David E. Cohen (SIGMOD Conference, 2021)

eCloud: A Vision for the Evolution of the Edge-Cloud Continuum. - Joy Arulraj; Abhijit Chatterjee; Alexandros Daglis; Ashutosh Dhekne; Umakishore Ramachandran (Computer, 2021)

THIA: Accelerating Video Analytics using Early Inference and Fine-Grained Query Planning. - Jiashen Cao; Ramyad Hadidi; Joy Arulraj; Hyesoon Kim (CoRR, 2021)

EKO: Adaptive Sampling of Compressed Video Data. - Jaeho Bang; Pramod Chunduri; Joy Arulraj (CoRR, 2021)

Automated Performance Bug Detection in Database Systems. - Xinyu Liu; Qi Zhou 010; Joy Arulraj; Alessandro Orso (CoRR, 2021)

Interactive Demonstration of SQLCHECK. - Arthita Ghosh; Arpit Narechania; Visweswara Sai Prashanth Dintyala; Su Timurturkan; Joy Arulraj; Deven Bansod (Proc. VLDB Endow., 2021)

Accelerating Video Analytics. - Joy Arulraj (SIGMOD Rec., 2021)

SPES: A Symbolic Approach to Proving Query Equivalence Under Bag Semantics. - Qi Zhou 010; Joy Arulraj; Shamkant B. Navathe; William Harris; Jinpeng Wu (ICDE, 2022)

Automatic Detection of Performance Bugs in Database Systems using Equivalent Queries. - Xinyu Liu; Qi Zhou 010; Joy Arulraj; Alessandro Orso (ICSE, 2022)

FiGO: Fine-Grained Query Optimization in Video Analytics. - Jiashen Cao; Karan Sarkar; Ramyad Hadidi; Joy Arulraj; Hyesoon Kim (SIGMOD Conference, 2022)

Zeus: Efficiently Localizing Actions in Videos using Reinforcement Learning. - Pramod Chunduri; Jaeho Bang; Yao Lu; Joy Arulraj (SIGMOD Conference, 2022)

EVA: A Symbolic Approach to Accelerating Exploratory Video Analytics with Materialized Views. - Zhuangdi Xu; Gaurav Tarlok Kakkar; Joy Arulraj; Umakishore Ramachandran (SIGMOD Conference, 2022)

Letter from the Rising Star Award Winner. - Joy Arulraj (IEEE Data Eng. Bull., 2022)

EVA: An End-to-End Exploratory Video Analytics System. - Gaurav Tarlok Kakkar; Jiashen Cao; Pramod Chunduri; Zhuangdi Xu; Suryatej Reddy Vyalla; Prashanth Dintyala; Anirudh Prabakaran; Jaeho Bang; Aubhro Sengupta; Kaushik Ravichandran 002; Ishwarya Sivakumar; Aryan Rajoria; et al. (DEEM@SIGMOD, 2023)

RAPIDS: Reconciling Availability, Accuracy, and Performance in Managing Geo-Distributed Scientific Data. - Lipeng Wan 001; Jieyang Chen; Xin Liang 001; Ana Gainaru; Qian Gong; Qing Liu 002; Ben Whitney; Joy Arulraj; Zhengchun Liu; Ian T. Foster; Scott Klasky (HPDC, 2023)

Revisiting Query Performance in GPU Database Systems. - Jiashen Cao; Rathijit Sen; Matteo Interlandi; Joy Arulraj; Hyesoon Kim (CoRR, 2023)

SEIDEN: Revisiting Query Processing in Video Database Systems. - Jaeho Bang; Gaurav Tarlok Kakkar; Pramod Chunduri; Subrata Mitra; Joy Arulraj (Proc. VLDB Endow., 2023)

Interactive Demonstration of EVA. - Gaurav Tarlok Kakkar; Aryan Rajoria; Myna Prasanna Kalluraya; Ashmita Raju; Jiashen Cao; Kexin Rong 001; Joy Arulraj (Proc. VLDB Endow., 2023)

GPU Database Systems Characterization and Optimization. - Jiashen Cao; Rathijit Sen; Matteo Interlandi; Joy Arulraj; Hyesoon Kim (Proc. VLDB Endow., 2023)

A Framework For Inferring Properties of User-Defined Functions. - Xinyu Liu; Joy Arulraj; Alessandro Orso (ICSE, 2024)

Hydro: Adaptive Query Processing of ML Queries. - Gaurav Tarlok Kakkar; Jiashen Cao; Aubhro Sengupta; Joy Arulraj; Hyesoon Kim (CoRR, 2024)

SketchQL Demonstration: Zero-shot Video Moment Querying with Sketches. - Renzhi Wu; Pramod Chunduri; Dristi J. Shah; Ashmitha Julius Aravind; Ali Payani; Xu Chu 002; Joy Arulraj; Kexin Rong 001 (Proc. VLDB Endow., 2024)

SketchQL: Video Moment Querying with a Visual Query Interface. - Renzhi Wu; Pramod Chunduri; Ali Payani; Xu Chu 002; Joy Arulraj; Kexin Rong 001 (Proc. ACM Manag. Data, 2024)

Buffer Management for Out-of-GPU LLM Execution. - Jiashen Cao; Joy Arulraj; Hyesoon Kim (DEEM@SIGMOD, 2025)

Aero: Adaptive Query Processing of ML Queries. - Gaurav Tarlok Kakkar; Jiashen Cao; Aubhro Sengupta; Joy Arulraj; Hyesoon Kim (Proc. ACM Manag. Data, 2025)

TRACER: Efficient Object Re-Identification in Networked Cameras through Adaptive Query Processing. - Pramod Chunduri; Yao Lu; Joy Arulraj (CoRR, 2025)

Towards a Periodic Table of Computer System Design Principles. - Joy Arulraj (CoRR, 2025)