Event detection from flickr data through wavelet-based spatial analysis L Chen, A Roy Proceedings of the 18th ACM conference on Information and knowledge …, 2009 | 296 | 2009 |
Cloudy with high chance of DBMS: A 10-year prediction for Enterprise-Grade ML A Agrawal, R Chatterjee, C Curino, A Floratou, N Gowdal, M Interlandi, ... CIDR, 2020 | 36 | 2020 |
Peregrine: Workload Optimization for Cloud Query Engines A Jindal, H Patel, A Roy, S Qiao, Z Yin, R Sen, S Krishnan Proceedings of the ACM Symposium on Cloud Computing, 416-427, 2019 | 33 | 2019 |
Building Highly-Optimized, Low-Latency Pipelines for Genomic Data Analysis. Y Diao, A Roy, T Bloom CIDR, 2015 | 28 | 2015 |
Massively Parallel Processing of Whole Genome Sequence Data: An In-Depth Performance Study A Roy, Y Diao, U Evani, A Abhyankar, C Howarth, R Le Priol, T Bloom Proceedings of the 2017 ACM International Conference on Management of Data …, 2017 | 16 | 2017 |
SparkCruise: handsfree computation reuse in Spark A Roy, A Jindal, H Patel, A Gosalia, S Krishnan, C Curino Proceedings of the VLDB Endowment 12 (12), 1850-1853, 2019 | 12 | 2019 |
Massive genomic data processing and deep analysis A Roy, Y Diao, E Mauceli, Y Shen, BL Wu Proceedings of the VLDB Endowment 5 (12), 1906-1909, 2012 | 11 | 2012 |
SparkCruise: workload optimization in managed spark clusters at Microsoft A Roy, A Jindal, P Gomatam, X Ouyang, A Gosalia, N Ravi, S Mann, ... Proceedings of the VLDB Endowment 14 (12), 3122-3134, 2021 | 10 | 2021 |
Phoebe: A Learning-based Checkpoint Optimizer Y Zhu, M Interlandi, A Roy, K Das, H Patel, M Bag, H Sharma, A Jindal Proc. VLDB Endow. 14 (11), 2505-2518, 2021 | 8 | 2021 |
AutoExecutor: Predictive Parallelism for Spark SQL Queries R Sen, A Roy, A Jindal, R Fang, J Zheng, X Liu, R Li Proc. VLDB Endow. 14 (12), 2855-2858, 2021 | 8 | 2021 |
Production Experiences from Computation Reuse at Microsoft A Jindal, S Qiao, H Patel, A Roy, J Leeka, B Haynes Proceedings of the 24th International Conference on Extending Database …, 2021 | 6 | 2021 |
Predictive Price-Performance Optimization for Serverless Query Processing R Sen, A Roy, A Jindal Proceedings 26th International Conference on Extending Database Technology …, 2023 | 5 | 2023 |
Cloud based query workload optimization CA Patel, Hiren S and Sen, Rathijit and Yin, Zhicheng and Shi, QIAO and ... US Patent App. 16/581,905, 2021 | 5* | 2021 |
PerfGuard: deploying ML-for-systems without performance regressions, almost! R Ammerlaan, G Antonius, M Friedman, HMS Hossain, A Jindal, ... Proceedings of the VLDB Endowment 14 (13), 3362-3375, 2021 | 3 | 2021 |
System and method for machine learning for system deployments without performance regressions IR Shaffer, RHL Ammerlaan, G Antonius, MT Friedman, ROY Abhishek, ... US Patent 11,748,350, 2023 | 2 | 2023 |
PerfGuard: Deploying ML-for-Systems without Performance Regressions HMS Hossain, L Rosenblatt, G Antonius, I Shaffer, R Ammerlaan, A Roy, ... Workshop on MLOps Systems, 2020 | 1 | 2020 |
Making Data Clouds Smarter at Keebo: Automated Warehouse Optimization using Data Learning B Mozafari, RA Burcuta, A Cabrera, A Constantin, D Francis, D Grömling, ... Companion of the 2023 International Conference on Management of Data, 239-251, 2023 | | 2023 |