Peter Bodik

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Victor BahlTechnical Fellow & CTO Azure For Operators, Microsoft CorporationDirección de correo verificada de microsoft.com
Matthai PhiliposeResearcher, MicrosoftDirección de correo verificada de microsoft.com
David PattersonProfessor of Computer Science, UC BerkeleyDirección de correo verificada de cs.berkeley.edu
Michael I. JordanProfessor of Electrical Engineering and Computer Sciences and Professor of Statistics, UC BerkeleyDirección de correo verificada de cs.berkeley.edu
Srikanth KandulaMicrosoftDirección de correo verificada de microsoft.com
Ishai MenacheMicrosoft ResearchDirección de correo verificada de microsoft.com
Ion StoicaProfessor of Computer Science, UC BerkeleyDirección de correo verificada de cs.berkeley.edu
Rodrigo FonsecaSenior Principal Research Manager, Microsoft ResearchDirección de correo verificada de microsoft.com
Moises GoldszmidtDistinguished Engineer at AppleDirección de correo verificada de apple.com
Charles SuttonGoogle, University of EdinburghDirección de correo verificada de inf.ed.ac.uk
Samuel MaddenMITDirección de correo verificada de csail.mit.edu
Carlos GuestrinProfessor, Stanford UniversityDirección de correo verificada de stanford.edu
Madanlal MusuvathiMicrosoft ResearchDirección de correo verificada de microsoft.com
Andrew FergusonGoogleDirección de correo verificada de google.com
Michael FranklinUniversity of ChicagoDirección de correo verificada de uchicago.edu
Jonathan MaceMicrosoft Research, RedmondDirección de correo verificada de mpi-sws.org
Mark PaskinGoogleDirección de correo verificada de google.com
Aditya AkellaProfessor, Computer Science, UT AustinDirección de correo verificada de cs.utexas.edu
Qifan PuUniversity of California, BerkeleyDirección de correo verificada de cs.berkeley.edu
Virajith JalapartiMicrosoftDirección de correo verificada de microsoft.com

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Peter Bodik

Principal Researcher at Microsoft Research

Dirección de correo verificada de microsoft.com - Página principal

Systems and Networking Machine Learning Algorithms


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
Distributed regression: an efficient framework for modeling sensor network data C Guestrin, P Bodik, R Thibaux, M Paskin, S Madden Proceedings of the 3rd international symposium on Information processing in …, 2004	607	2004
Real-time video analytics: The killer app for edge computing G Ananthanarayanan, P Bahl, P Bodík, K Chintalapudi, M Philipose, ... computer 50 (10), 58-67, 2017	567	2017
Chameleon: scalable adaptation of video analytics J Jiang, G Ananthanarayanan, P Bodik, S Sen, I Stoica Proceedings of the 2018 conference of the ACM special interest group on data …, 2018	531	2018
Live video analytics at scale with approximation and {Delay-Tolerance} H Zhang, G Ananthanarayanan, P Bodik, M Philipose, P Bahl, ... 14th USENIX Symposium on Networked Systems Design and Implementation (NSDI …, 2017	528	2017
Low latency geo-distributed data analytics Q Pu, G Ananthanarayanan, P Bodik, S Kandula, A Akella, P Bahl, I Stoica ACM SIGCOMM Computer Communication Review 45 (4), 421-434, 2015	453	2015
Jockey: Guaranteed Job Latency in Data Parallel Clusters AD Ferguson, P Bodik, S Kandula, E Boutin, R Fonseca EuroSys, 2012	444	2012
Fingerprinting the datacenter: automated classification of performance crises P Bodik, M Goldszmidt, A Fox, DB Woodard, H Andersen Proceedings of the 5th European conference on Computer systems, 111-124, 2010	348	2010
Focus: Querying large video datasets with low latency and low cost K Hsieh, G Ananthanarayanan, P Bodik, S Venkataraman, P Bahl, ... 13th USENIX Symposium on Operating Systems Design and Implementation (OSDI …, 2018	342	2018
Videoedge: Processing camera streams using hierarchical clusters CC Hung, G Ananthanarayanan, P Bodik, L Golubchik, M Yu, P Bahl, ... 2018 IEEE/ACM Symposium on Edge Computing (SEC), 115-131, 2018	326	2018
Statistical Machine Learning Makes Automatic Control Practical for Internet Datacenters. P Bodík, R Griffith, C Sutton, A Fox, MI Jordan, DA Patterson HotCloud 9, 12-12, 2009	304	2009
Characterizing, modeling, and generating workload spikes for stateful services P Bodik, A Fox, MJ Franklin, MI Jordan, DA Patterson Proceedings of the 1st ACM symposium on Cloud computing, 241-252, 2010	273	2010
Surviving failures in bandwidth-constrained datacenters P Bodík, I Menache, M Chowdhury, P Mani, DA Maltz, I Stoica ACM SIGCOMM Computer Communication Review 42 (4), 431-442, 2012	259	2012
Network-aware scheduling for data-parallel jobs: Plan when you can V Jalaparti, P Bodik, I Menache, S Rao, K Makarychev, M Caesar ACM SIGCOMM Computer Communication Review 45 (4), 407-420, 2015	246	2015
The SCADS Director: Scaling a distributed storage system under stringent performance requirements B Trushkowsky, P Bodık, A Fox, MJ Franklin, MI Jordan, DA Patterson USENIX Conf on File and Storage Technologies, 163-176, 2011	210	2011
Speeding up distributed request-response workflows V Jalaparti, P Bodik, S Kandula, I Menache, M Rybalkin, C Yan ACM SIGCOMM Computer Communication Review 43 (4), 219-230, 2013	194	2013
Intel lab data P Bodik, W Hong, C Guestrin, S Madden, M Paskin, R Thibaux Online dataset 90, 2004	144	2004
Retro: Targeted resource management in multi-tenant distributed systems J Mace, P Bodik, R Fonseca, M Musuvathi 12th USENIX Symposium on Networked Systems Design and Implementation (NSDI …, 2015	142	2015
Combining visualization and statistical analysis to improve operator confidence and efficiency for failure detection and localization P Bodik, G Friedman, L Biewald, H Levine, G Candea, K Patel, G Tolle, ... Second International Conference on Autonomic Computing (ICAC'05), 89-100, 2005	138	2005
Failure recovery: When the cure is worse than the disease Z Guo, S McDirmid, M Yang, L Zhuang, P Zhang, Y Luo, T Bergan, ... 14th Workshop on Hot Topics in Operating Systems (HotOS XIV), 2013	83	2013
Automatic exploration of datacenter performance regimes P Bodik, R Griffith, C Sutton, A Fox, MI Jordan, DA Patterson Proceedings of the 1st workshop on Automated control for datacenters and …, 2009	75	2009

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