Distributed regression: an efficient framework for modeling sensor network data. - Carlos Guestrin; Peter Bodík; Romain Thibaux; Mark A. Paskin; Samuel Madden 001 (IPSN, 2004)

Combining Visualization and Statistical Analysis to Improve Operator Confidence and Efficiency for Failure Detection and Localization. - Peter Bodík; Greg Friedman; Lukas Biewald; Helen Levine; George Candea; Kayur Patel; Gilman Tolle; Jonathan Hui; Armando Fox; Michael I. Jordan; David A. Patterson 001 (ICAC, 2005)

HiLighter: Automatically Building Robust Signatures of Performance Behavior for Small- and Large-Scale Systems. - Peter Bodík; Moisés Goldszmidt; Armando Fox (SysML, 2008)

Statistical Machine Learning Makes Automatic Control Practical for Internet Datacenters. - Peter Bodík; Rean Griffith; Charles Sutton; Armando Fox; Michael I. Jordan; David A. Patterson 001 (HotCloud, 2009)

Automatic exploration of datacenter performance regimes. - Peter Bodík; Rean Griffith; Charles Sutton; Armando Fox; Michael I. Jordan; David A. Patterson 001 (ACDC@ICAC, 2009)

Characterizing, modeling, and generating workload spikes for stateful services. - Peter Bodík; Armando Fox; Michael J. Franklin; Michael I. Jordan; David A. Patterson 001 (SoCC, 2010)

Fingerprinting the datacenter: automated classification of performance crises. - Peter Bodík; Moisés Goldszmidt; Armando Fox; Dawn B. Woodard; Hans Andersen (EuroSys, 2010)

Automating Datacenter Operations Using Machine Learning. - Peter Bodík (2010)

The SCADS Director: Scaling a Distributed Storage System Under Stringent Performance Requirements. - Beth Trushkowsky; Peter Bodík; Armando Fox; Michael J. Franklin; Michael I. Jordan; David A. Patterson 001 (FAST, 2011)

Overview of the workshop on managing large-scale systems via the analysis of system logs and the application of machine learning techniques. - Peter Bodík (ACM SIGOPS Oper. Syst. Rev., 2011)

Jockey: guaranteed job latency in data parallel clusters. - Andrew D. Ferguson; Peter Bodík; Srikanth Kandula; Eric Boutin; Rodrigo Fonseca (EuroSys, 2012)

Surviving failures in bandwidth-constrained datacenters. - Peter Bodík; Ishai Menache; Mosharaf Chowdhury; Pradeepkumar Mani; David A. Maltz; Ion Stoica (SIGCOMM, 2012)

Virtualizing Traffic Shapers for Practical Resource Allocation. - Gautam Kumar; Srikanth Kandula; Peter Bodík; Ishai Menache (HotCloud, 2013)

Speeding up distributed request-response workflows. - Virajith Jalaparti; Peter Bodík; Srikanth Kandula; Ishai Menache; Mikhail Rybalkin; Chenyu Yan (SIGCOMM, 2013)

Towards General-Purpose Resource Management in Shared Cloud Services. - Jonathan Mace; Peter Bodík; Rodrigo Fonseca; Madanlal Musuvathi (HotDep, 2014)

Brief announcement: deadline-aware scheduling of big-data processing jobs. - Peter Bodík; Ishai Menache; Joseph Naor; Jonathan Yaniv (SPAA, 2014)

Retro: Targeted Resource Management in Multi-tenant Distributed Systems. - Jonathan Mace; Peter Bodík; Rodrigo Fonseca; Madanlal Musuvathi (NSDI, 2015)

Network-Aware Scheduling for Data-Parallel Jobs: Plan When You Can. - Virajith Jalaparti; Peter Bodík; Ishai Menache; Sriram Rao; Konstantin Makarychev; Matthew Caesar 001 (SIGCOMM, 2015)

Low Latency Geo-distributed Data Analytics. - Qifan Pu; Ganesh Ananthanarayanan; Peter Bodík; Srikanth Kandula; Aditya Akella; Paramvir Bahl; Ion Stoica (SIGCOMM, 2015)

2DFQ: Two-Dimensional Fair Queuing for Multi-Tenant Cloud Services. - Jonathan Mace; Peter Bodík; Madanlal Musuvathi; Rodrigo Fonseca; Krishnan Varadarajan (SIGCOMM, 2016)

Distributed resource management across process boundaries. - Lalith Suresh 001; Peter Bodík; Ishai Menache; Marco Canini; Florin Ciucu (SoCC, 2017)

Demo: Live Video Stream Triggers. - Lenin Ravindranath; Matthai Philipose; Peter Bodík; Paramvir Bahl (MobiSys, 2017)

Live Video Analytics at Scale with Approximation and Delay-Tolerance. - Haoyu Zhang; Ganesh Ananthanarayanan; Peter Bodík; Matthai Philipose; Paramvir Bahl; Michael J. Freedman (NSDI, 2017)

Real-Time Video Analytics: The Killer App for Edge Computing. - Ganesh Ananthanarayanan; Paramvir Bahl; Peter Bodík; Krishna Chintalapudi; Matthai Philipose; Lenin Ravindranath; Sudipta Sinha (Computer, 2017)

VideoEdge: Processing Camera Streams using Hierarchical Clusters. - Chien-Chun Hung; Ganesh Ananthanarayanan; Peter Bodík; Leana Golubchik; Minlan Yu; Paramvir Bahl; Matthai Philipose (SEC, 2018)

Steel: Simplified Development and Deployment of Edge-Cloud Applications. - Shadi A. Noghabi; John Kolb; Peter Bodík; Eduardo Cuervo (HotCloud, 2018)

Focus: Querying Large Video Datasets with Low Latency and Low Cost. - Kevin Hsieh; Ganesh Ananthanarayanan; Peter Bodík; Shivaram Venkataraman; Paramvir Bahl; Matthai Philipose; Phillip B. Gibbons; Onur Mutlu (OSDI, 2018)

Chameleon: scalable adaptation of video analytics. - Junchen Jiang; Ganesh Ananthanarayanan; Peter Bodík; Siddhartha Sen 001; Ion Stoica (SIGCOMM, 2018)

Focus: Querying Large Video Datasets with Low Latency and Low Cost. - Kevin Hsieh; Ganesh Ananthanarayanan; Peter Bodík; Paramvir Bahl; Matthai Philipose; Phillip B. Gibbons; Onur Mutlu (CoRR, 2018)

Unified Management and Optimization of Edge-Cloud IoT Applications. - Shadi A. Noghabi; Jack Kolb; Peter Bodík; Eduardo Cuervo (CoRR, 2018)

Where does a computer vision model make mistakes? Using interactive visualizations to find where and how CV models can improve. - Hayeong Song; Gonzalo Ramos 001; Peter Bodík (CoRR, 2023)

Evaluating how interactive visualizations can assist in finding samples where and how computer vision models make mistakes. - Hayeong Song; Gonzalo Ramos 001; Peter Bodík (PacificVis, 2024)