Subru Krishnan
Subru Krishnan
Verified email at microsoft.com
Title
Cited by
Cited by
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 Implementationá…, 2016
1382016
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
1262014
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
252016
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
162015
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 Implementationá…, 2019
142019
Pepper: An elastic web server farm for cloud based on hadoop
S Krishnan, JC Counio
2010 IEEE Second International Conference on Cloud Computing Technology andá…, 2010
62010
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, 1889á…, 2019
32019
Method and system for automatically identifying optimal meeting locations
D Kumar, SV Krishnan, A Agrawal
US Patent 9,558,457, 2017
32017
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
22019
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
22019
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
12019
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
2020
Data Science through the looking glass and what we found there
F Psallidas, Y Zhu, B Karlas, M Interlandi, A Floratou, K Karanasos, W Wu, ...
arXiv preprint arXiv:1912.09536, 2019
2019
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
2019
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
2019
Seamless cluster servicing
K Chaliparambil, C Curino, K Karanam, SV Krishnan, CW Douglas, S Rao, ...
US Patent 9,876,878, 2018
2018
Seamless cluster servicing
K Chaliparambil, C Curino, K Karanam, SV Krishnan, CW Douglas, S Rao, ...
US Patent 9,578,091, 2017
2017
Location-aware adaptive event reminder
A Agrawal, SV Krishnan
US Patent 9,311,628, 2016
2016
Performance Modeling and Optimization of Distributed Queries
D Kakadia, K Rajan, K Vaswani, S Krishnan, C Curino
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