Abhishek Roy

17 papers A 3B 2Journal 9Unranked 3
YearRankTypeTitle / Venue / Authors
2023 — conf
Making Data Clouds Smarter at Keebo: Automated Warehouse Optimization using Data Learning.
SIGMOD Conference Companion
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
2023 B conf
Predictive Price-Performance Optimization for Serverless Query Processing.
EDBT
Rathijit Sen, Abhishek Roy, Alekh Jindal
2021 J jnl
AutoExecutor: Predictive Parallelism for Spark SQL Queries.
Proc. VLDB Endow.
Rathijit Sen, Abhishek Roy, Alekh Jindal, Rui Fang, Jeff Zheng, Xiaolei Liu, Ruiping Li
2021 J jnl
PerfGuard: Deploying ML-for-Systems without Performance Regressions, Almost!
Proc. VLDB Endow.
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
2021 J jnl
Phoebe: A Learning-based Checkpoint Optimizer.
CoRR
Yiwen Zhu, Matteo Interlandi, Abhishek Roy, Krishnadhan Das, Hiren Patel, Malay Bag, Hitesh Sharma, Alekh Jindal
2021 J jnl
Phoebe: A Learning-based Checkpoint Optimizer.
Proc. VLDB Endow.
Yiwen Zhu, Matteo Interlandi, Abhishek Roy, Krishnadhan Das, Hiren Patel, Malay Bag, Hitesh Sharma, Alekh Jindal
2021 J jnl
Predictive Price-Performance Optimization for Serverless Query Processing.
CoRR
Rathijit Sen, Abhishek Roy, Alekh Jindal
2021 B conf
Production Experiences from Computation Reuse at Microsoft.
EDBT
Alekh Jindal, Shi Qiao, Hiren Patel, Abhishek Roy, Jyoti Leeka, Brandon Haynes
2021 J jnl
SparkCruise: Workload Optimization in Managed Spark Clusters at Microsoft.
Proc. VLDB Endow.
Abhishek Roy, Alekh Jindal, Priyanka Gomatam, Xiating Ouyang, Ashit Gosalia, Nishkam Ravi, Swinky Mann, Prakhar Jain
2020 A conf
Cloudy with high chance of DBMS: a 10-year prediction for Enterprise-Grade ML.
CIDR
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
2019 J jnl
Cloudy with high chance of DBMS: A 10-year prediction for Enterprise-Grade ML.
CoRR
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
2019 — conf
Peregrine: Workload Optimization for Cloud Query Engines.
SoCC
Alekh Jindal, Hiren Patel, Abhishek Roy, Shi Qiao, Zhicheng Yin, Rathijit Sen, Subru Krishnan
2019 J jnl
SparkCruise: Handsfree Computation Reuse in Spark.
Proc. VLDB Endow.
Abhishek Roy, Alekh Jindal, Hiren Patel, Ashit Gosalia, Subru Krishnan, Carlo Curino
2017 — conf
Massively Parallel Processing of Whole Genome Sequence Data: An In-Depth Performance Study.
SIGMOD Conference
Abhishek Roy, Yanlei Diao, Uday Evani, Avinash Abhyankar, Clinton Howarth, Rémi Le Priol, Toby Bloom
2015 A conf
Building Highly-Optimized, Low-Latency Pipelines for Genomic Data Analysis.
CIDR
Yanlei Diao, Abhishek Roy, Toby Bloom
2012 J jnl
Massive Genomic Data Processing and Deep Analysis.
Proc. VLDB Endow.
Abhishek Roy, Yanlei Diao, Evan Mauceli, Yiping Shen, Bai-Lin Wu
2009 A conf
Event detection from flickr data through wavelet-based spatial analysis.
CIKM
Ling Chen, Abhishek Roy