Abhishek Roy

According to our database, Abhishek Roy authored at least 14 papers between 2009 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Making Data Clouds Smarter at Keebo: Automated Warehouse Optimization using Data Learning.

Barzan Mozafari, Radu Alexandru Burcuta, Alan Cabrera, Andrei Constantin, Derek Francis, David Grömling, Alekh Jindal, Maciej Konkolowicz, Valentin Marian Spac, Yongjoo Park, Russell Razo Carranzo, Nicholas Richardson, Abhishek Roy, Aayushi Srivastava, Isha Tarte, Brian Westphal, Chi Zhang

Proceedings of the Companion of the 2023 International Conference on Management of Data, 2023

Predictive Price-Performance Optimization for Serverless Query Processing.

Rathijit Sen, Abhishek Roy, Alekh Jindal

Proceedings of the Proceedings 26th International Conference on Extending Database Technology, 2023

2021

Phoebe: A Learning-based Checkpoint Optimizer.

Yiwen Zhu, Matteo Interlandi, Abhishek Roy, Krishnadhan Das, Hiren Patel, Malay Bag, Hitesh Sharma, Alekh Jindal

Proc. VLDB Endow., 2021

AutoExecutor: Predictive Parallelism for Spark SQL Queries.

Rathijit Sen, Abhishek Roy, Alekh Jindal, Rui Fang, Jeff Zheng, Xiaolei Liu, Ruiping Li

Proc. VLDB Endow., 2021

SparkCruise: Workload Optimization in Managed Spark Clusters at Microsoft.

Abhishek Roy, Alekh Jindal, Priyanka Gomatam, Xiating Ouyang, Ashit Gosalia, Nishkam Ravi, Swinky Mann, Prakhar Jain

Proc. VLDB Endow., 2021

PerfGuard: Deploying ML-for-Systems without Performance Regressions, Almost!

H. M. Sajjad Hossain, Marc T. Friedman, Hiren Patel, Shi Qiao, Soundar Srinivasan, Markus Weimer, Remmelt Ammerlaan, Lucas Rosenblatt, Gilbert Antonius, Peter Orenberg, Vijay Ramani, Abhishek Roy, Irene Shaffer, Alekh Jindal

Proc. VLDB Endow., 2021

Production Experiences from Computation Reuse at Microsoft.

Alekh Jindal, Shi Qiao, Hiren Patel, Abhishek Roy, Jyoti Leeka, Brandon Haynes

Proceedings of the 24th International Conference on Extending Database Technology, 2021

2020

Cloudy with high chance of DBMS: a 10-year prediction for Enterprise-Grade ML.

Ashvin Agrawal, Rony Chatterjee, Carlo Curino, Avrilia Floratou, Neha Godwal, Matteo Interlandi, Alekh Jindal, Konstantinos Karanasos, Subru Krishnan, Brian Kroth, Jyoti Leeka, Kwanghyun Park, Hiren Patel, Olga Poppe, Fotis Psallidas, Raghu Ramakrishnan, Abhishek Roy, Karla Saur, Rathijit Sen, Markus Weimer, Travis Wright, Yiwen Zhu

Proceedings of the 10th Conference on Innovative Data Systems Research, 2020

2019

SparkCruise: Handsfree Computation Reuse in Spark.

Abhishek Roy, Alekh Jindal, Hiren Patel, Ashit Gosalia, Subru Krishnan, Carlo Curino

Proc. VLDB Endow., 2019

Peregrine: Workload Optimization for Cloud Query Engines.

Alekh Jindal, Hiren Patel, Abhishek Roy, Shi Qiao, Zhicheng Yin, Rathijit Sen, Subru Krishnan

Proceedings of the ACM Symposium on Cloud Computing, SoCC 2019, 2019

2017

Massively Parallel Processing of Whole Genome Sequence Data: An In-Depth Performance Study.

Abhishek Roy, Yanlei Diao, Uday Evani, Avinash Abhyankar, Clinton Howarth, Rémi Le Priol, Toby Bloom

Proceedings of the 2017 ACM International Conference on Management of Data, 2017

2015

Building Highly-Optimized, Low-Latency Pipelines for Genomic Data Analysis.

Yanlei Diao, Abhishek Roy, Toby Bloom

Proceedings of the Seventh Biennial Conference on Innovative Data Systems Research, 2015

2012

Massive Genomic Data Processing and Deep Analysis.

Abhishek Roy, Yanlei Diao, Evan Mauceli, Yiping Shen, Bai-Lin Wu

Proc. VLDB Endow., 2012

2009

Event detection from flickr data through wavelet-based spatial analysis.

Ling Chen, Abhishek Roy

Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009