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Peter Bodík
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- affiliation: University of California, Berkeley, USA
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2020 – today
- 2024
- [c26]Hayeong Song, Gonzalo Ramos, Peter Bodík:
Evaluating how interactive visualizations can assist in finding samples where and how computer vision models make mistakes. PacificVis 2024: 307-312 - 2023
- [i3]Hayeong Song, Gonzalo Ramos, Peter Bodík:
Where does a computer vision model make mistakes? Using interactive visualizations to find where and how CV models can improve. CoRR abs/2305.11927 (2023)
2010 – 2019
- 2018
- [c25]Chien-Chun Hung, Ganesh Ananthanarayanan, Peter Bodík, Leana Golubchik, Minlan Yu, Paramvir Bahl, Matthai Philipose:
VideoEdge: Processing Camera Streams using Hierarchical Clusters. SEC 2018: 115-131 - [c24]Shadi A. Noghabi, John Kolb, Peter Bodík, Eduardo Cuervo:
Steel: Simplified Development and Deployment of Edge-Cloud Applications. HotCloud 2018 - [c23]Kevin Hsieh
, Ganesh Ananthanarayanan, Peter Bodík, Shivaram Venkataraman, Paramvir Bahl, Matthai Philipose, Phillip B. Gibbons, Onur Mutlu:
Focus: Querying Large Video Datasets with Low Latency and Low Cost. OSDI 2018: 269-286 - [c22]Junchen Jiang, Ganesh Ananthanarayanan, Peter Bodík, Siddhartha Sen, Ion Stoica:
Chameleon: scalable adaptation of video analytics. SIGCOMM 2018: 253-266 - [i2]Kevin Hsieh, Ganesh Ananthanarayanan, Peter Bodík, Paramvir Bahl, Matthai Philipose, Phillip B. Gibbons, Onur Mutlu:
Focus: Querying Large Video Datasets with Low Latency and Low Cost. CoRR abs/1801.03493 (2018) - [i1]Shadi A. Noghabi, Jack Kolb, Peter Bodík, Eduardo Cuervo:
Unified Management and Optimization of Edge-Cloud IoT Applications. CoRR abs/1805.02305 (2018) - 2017
- [j2]Ganesh Ananthanarayanan, Paramvir Bahl, Peter Bodík, Krishna Chintalapudi, Matthai Philipose, Lenin Ravindranath, Sudipta Sinha:
Real-Time Video Analytics: The Killer App for Edge Computing. Computer 50(10): 58-67 (2017) - [c21]Lalith Suresh, Peter Bodík, Ishai Menache, Marco Canini
Distributed resource management across process boundaries. SoCC 2017: 611-623 - [c20]Lenin Ravindranath, Matthai Philipose, Peter Bodík, Paramvir Bahl:
Demo: Live Video Stream Triggers. MobiSys 2017: 195 - [c19]Haoyu Zhang, Ganesh Ananthanarayanan, Peter Bodík, Matthai Philipose, Paramvir Bahl, Michael J. Freedman:
Live Video Analytics at Scale with Approximation and Delay-Tolerance. NSDI 2017: 377-392 - 2016
- [c18]Jonathan Mace, Peter Bodík, Madanlal Musuvathi, Rodrigo Fonseca, Krishnan Varadarajan:
2DFQ: Two-Dimensional Fair Queuing for Multi-Tenant Cloud Services. SIGCOMM 2016: 144-159 - 2015
- [c17]Jonathan Mace, Peter Bodík, Rodrigo Fonseca, Madanlal Musuvathi:
Retro: Targeted Resource Management in Multi-tenant Distributed Systems. NSDI 2015: 589-603 - [c16]Virajith Jalaparti, Peter Bodík, Ishai Menache, Sriram Rao, Konstantin Makarychev, Matthew Caesar
Network-Aware Scheduling for Data-Parallel Jobs: Plan When You Can. SIGCOMM 2015: 407-420 - [c15]Qifan Pu, Ganesh Ananthanarayanan, Peter Bodík, Srikanth Kandula, Aditya Akella, Paramvir Bahl, Ion Stoica:
Low Latency Geo-distributed Data Analytics. SIGCOMM 2015: 421-434 - 2014
- [c14]Jonathan Mace, Peter Bodík, Rodrigo Fonseca, Madanlal Musuvathi:
Towards General-Purpose Resource Management in Shared Cloud Services. HotDep 2014 - [c13]Peter Bodík, Ishai Menache, Joseph Naor, Jonathan Yaniv:
Brief announcement: deadline-aware scheduling of big-data processing jobs. SPAA 2014: 211-213 - 2013
- [c12]Gautam Kumar, Srikanth Kandula, Peter Bodík, Ishai Menache:
Virtualizing Traffic Shapers for Practical Resource Allocation. HotCloud 2013 - [c11]Virajith Jalaparti, Peter Bodík, Srikanth Kandula, Ishai Menache, Mikhail Rybalkin, Chenyu Yan:
Speeding up distributed request-response workflows. SIGCOMM 2013: 219-230 - 2012
- [c10]Andrew D. Ferguson, Peter Bodík, Srikanth Kandula, Eric Boutin, Rodrigo Fonseca:
Jockey: guaranteed job latency in data parallel clusters. EuroSys 2012: 99-112 - [c9]Peter Bodík, Ishai Menache, Mosharaf Chowdhury, Pradeepkumar Mani, David A. Maltz, Ion Stoica:
Surviving failures in bandwidth-constrained datacenters. SIGCOMM 2012: 431-442 - [e1]Peter Bodík, Greg Bronevetsky:
2012 Workshop on Managing Systems Automatically and Dynamically, MAD'12, Hollywood, CA, USA, October 7, 2012. USENIX Association 2012 [contents] - 2011
- [j1]Peter Bodík:
Overview of the workshop on managing large-scale systems via the analysis of system logs and the application of machine learning techniques. ACM SIGOPS Oper. Syst. Rev. 45(3): 20-22 (2011) - [c8]Beth Trushkowsky, Peter Bodík, Armando Fox, Michael J. Franklin, Michael I. Jordan, David A. Patterson:
The SCADS Director: Scaling a Distributed Storage System Under Stringent Performance Requirements. FAST 2011: 163-176 - 2010
- [b1]Peter Bodík:
Automating Datacenter Operations Using Machine Learning. University of California, Berkeley, USA, 2010 - [c7]Peter Bodík, Armando Fox, Michael J. Franklin, Michael I. Jordan
Characterizing, modeling, and generating workload spikes for stateful services. SoCC 2010: 241-252 - [c6]Peter Bodík, Moisés Goldszmidt, Armando Fox, Dawn B. Woodard, Hans Andersen:
Fingerprinting the datacenter: automated classification of performance crises. EuroSys 2010: 111-124
2000 – 2009
- 2009
- [c5]Peter Bodík, Rean Griffith, Charles Sutton, Armando Fox, Michael I. Jordan, David A. Patterson:
Statistical Machine Learning Makes Automatic Control Practical for Internet Datacenters. HotCloud 2009 - [c4]Peter Bodík, Rean Griffith, Charles Sutton, Armando Fox, Michael I. Jordan
Automatic exploration of datacenter performance regimes. ACDC@ICAC 2009: 1-6 - 2008
- [c3]Peter Bodík, Moisés Goldszmidt, Armando Fox:
HiLighter: Automatically Building Robust Signatures of Performance Behavior for Small- and Large-Scale Systems. SysML 2008 - 2005
- [c2]Peter Bodík, Greg Friedman, Lukas Biewald, Helen Levine, George Candea, Kayur Patel, Gilman Tolle, Jonathan Hui, Armando Fox, Michael I. Jordan
Combining Visualization and Statistical Analysis to Improve Operator Confidence and Efficiency for Failure Detection and Localization. ICAC 2005: 89-100 - 2004
- [c1]Carlos Guestrin, Peter Bodík, Romain Thibaux, Mark A. Paskin, Samuel Madden:
Distributed regression: an efficient framework for modeling sensor network data. IPSN 2004: 1-10
Coauthor Index
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last updated on 2024-06-27 21:30 CEST by the dblp team
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