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Subru Krishnan
Subru Krishnan
Verified email at microsoft.com
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Year
Morpheus: Towards automated {SLOs} for enterprise clusters
SA Jyothi, C Curino, I Menache, SM Narayanamurthy, A Tumanov, ...
12th USENIX Symposium on Operating Systems Design and Implementation (OSDI …, 2016
3122016
Reservation-based scheduling: If you're late don't blame us!
C Curino, DE Difallah, C Douglas, S Krishnan, R Ramakrishnan, S Rao
Proceedings of the ACM Symposium on Cloud Computing, 1-14, 2014
1892014
Hydra: a federated resource manager for data-center scale analytics
C Curino, S Krishnan, K Karanasos, S Rao, GM Fumarola, B Huang, ...
16th USENIX Symposium on Networked Systems Design and Implementation (NSDI …, 2019
822019
Perforator: eloquent performance models for resource optimization
K Rajan, D Kakadia, C Curino, S Krishnan
Proceedings of the Seventh ACM Symposium on Cloud Computing, 415-427, 2016
752016
Extending relational query processing with ML inference
K Karanasos, M Interlandi, D Xin, F Psallidas, R Sen, K Park, I Popivanov, ...
arXiv preprint arXiv:1911.00231, 2019
702019
Vamsa: Automated provenance tracking in data science scripts
MH Namaki, A Floratou, F Psallidas, S Krishnan, A Agrawal, Y Wu, Y Zhu, ...
Proceedings of the 26th ACM SIGKDD international conference on knowledge …, 2020
492020
Data science through the looking glass: Analysis of millions of github notebooks and ml. net pipelines
F Psallidas, Y Zhu, B Karlas, J Henkel, M Interlandi, S Krishnan, B Kroth, ...
ACM SIGMOD Record 51 (2), 30-37, 2022
482022
Method and system for building an elastic cloud web server farm
SV Krishnan, A Jaiswal, R Meka, JC Counio, A Abdelnur, RR Shah
US Patent 8,954,568, 2015
472015
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, ...
arXiv preprint arXiv:1909.00084, 2019
362019
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
332019
Unearthing inter-job dependencies for better cluster scheduling
A Chung, S Krishnan, K Karanasos, C Curino, GR Ganger
14th USENIX Symposium on Operating Systems Design and Implementation (OSDI …, 2020
232020
Kea: Tuning an exabyte-scale data infrastructure
Y Zhu, S Krishnan, K Karanasos, I Tarte, C Power, A Modi, M Kumar, ...
Proceedings of the 2021 International Conference on Management of Data, 2667 …, 2021
162021
Vamsa: Tracking provenance in data science scripts
MH Namaki, A Floratou, F Psallidas, S Krishnan, A Agrawal, Y Wu
arXiv preprint arXiv:2001.01861, 2020
132020
Griffon: Reasoning about job anomalies with unlabeled data in cloud-based platforms
L Shao, Y Zhu, S Liu, A Eswaran, K Lieber, J Mahajan, M Thigpen, ...
Proceedings of the ACM Symposium on Cloud Computing, 441-452, 2019
122019
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
112019
Seamless cluster servicing
K Chaliparambil, C Curino, K Karanam, SV Krishnan, CW Douglas, S Rao, ...
US Patent 9,578,091, 2017
112017
Pepper: An elastic web server farm for cloud based on hadoop
S Krishnan, JC Counio
2010 IEEE Second International Conference on Cloud Computing Technology and …, 2010
72010
Data Science through the looking glass and what we found there. CoRR abs/1912.09536 (2019)
F Psallidas, Y Zhu, B Karlas, M Interlandi, A Floratou, K Karanasos, W Wu, ...
arXiv preprint arXiv:1912.09536, 2019
62019
Cloud based query workload optimization
HS Patel, R Sen, Z Yin, Q Shi, ROY Abhishek, A Jindal, SV Krishnan, ...
US Patent App. 16/581,905, 2021
52021
Peering through the dark: An owl's view of inter-job dependencies and jobs' impact in shared clusters
A Chung, C Curino, S Krishnan, K Karanasos, P Garefalakis, GR Ganger
Proceedings of the 2019 International Conference on Management of Data, 1889 …, 2019
52019
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