activity
20192021
most citedSQLCheck: Automated Detection and Diagnosis of SQL Anti-Patterns

26 citations · 63 across the 6 of their papers we have counts for

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7 papers · 1 filter

cs.DB2021

Testing DBMS Performance with Mutations

Xinyu Liu, Qi Zhou, Joy Arulraj +1

Because database systems are the critical component of modern data-intensive applications, it is important to ensure that they operate correctly. To this end, developers extensivel…

cs.DB20211 cited

EKO: Adaptive Sampling of Compressed Video Data

Jaeho Bang, Pramod Chunduri, Joy Arulraj

Researchers have presented systems for efficiently analysing video data at scale using sampling algorithms. While these systems effectively leverage the temporal redundancy present…

cs.DB20216 cited

THIA: Accelerating Video Analytics using Early Inference and Fine-Grained Query Planning

Jiashen Cao, Ramyad Hadidi, Joy Arulraj +1

To efficiently process visual data at scale, researchers have proposed two techniques for lowering the computational overhead associated with the underlying deep learning models. T…

cs.DB202026 cited

SQLCheck: Automated Detection and Diagnosis of SQL Anti-Patterns

Visweswara Sai Prashanth Dintyala, Arpit Narechania, Joy Arulraj

The emergence of database-as-a-service platforms has made deploying database applications easier than before. Now, developers can quickly create scalable applications. However, des…

cs.DB2020

A Symbolic Approach to Proving Query Equivalence Under Bag Semantics

Qi Zhou, Joy Arulraj, Shamkant Navathe +2

In database-as-a-service platforms, automated verification of query equivalence helps eliminate redundant computation in the form of overlapping sub-queries. Researchers have propo…

cs.DB201918 cited

Multi-Tier Buffer Management and Storage System Design for Non-Volatile Memory

Joy Arulraj, Andy Pavlo, Krishna Teja Malladi

The design of the buffer manager in database management systems (DBMSs) is influenced by the performance characteristics of volatile memory (DRAM) and non-volatile storage (e.g., S…