Peter Bodík

I'm a graduate student in Computer Science at UC Berkeley. I graduated from Comenius University (Faculty of Mathematics, Physics and Informatics), in Bratislava, Slovakia. I work with Dave Patterson and Michael Jordan.

::contact::

Computer Science Division
477 Soda Hall
University of California, Berkeley
Berkeley, CA 94720-1776
b o d i k p -at- c s -dot- b e r k e l e y -dot- e d u

::publications::

Statistical Machine Learning Makes Automatic Control Practical for Internet Datacenters, Peter Bodik, Rean Griffith, Charles Sutton, Armando Fox, Michael I. Jordan, David A. Patterson. In Workshop on Hot Topics in Cloud Computing (HotCloud '09), San Diego, CA, June 2009. (pdf)

Automatic Exploration of Datacenter Performance Regimes, Peter Bodik, Rean Griffith, Charles Sutton, Armando Fox, Michael I. Jordan, David A. Patterson. In First Workshop on Automated Control for Datacenters and Clouds (ACDC '09), Barcelona, Spain, June 2009. (pdf)

HiLighter: Automatically Building Robust Signatures of Performance Behavior for Small- and Large-Scale Systems, Peter Bodik, Moises Goldszmidt, Armando Fox. In Third Workshop on Tackling Computer Systems Problems with Machine Learning (SysML '08), San Diego, December 2009. (pdf)

Response-Time Modeling for Resource Allocation and Energy-Informed SLAs, Peter Bodik, Charles Sutton, Armando Fox, David Patterson, Michael Jordan. In Workshop on Statistical Learning Techniques for Solving Systems Problems (MLSys '07), Whistler, Canada, December 2007. (pdf)

Advanced Tools for Operators at Amazon.com, Peter Bodik, Armando Fox, Michael I. Jordan, David Patterson, Ajit Banerjee, Ramesh Jagannathan, Tina Su, Shivaraj Tenginakai, Ben Turner, Jon Ingalls. In First Workshop on Hot Topics in Autonomic Computing (HotAC'06), Dublin, Ireland, June 2006. (pdf)

Advanced Tools for Operators of Internet Services, Peter Bodik, Master's Thesis, UC Berkeley. (pdf)

Combining Visualization and Statistical Analysis to Improve Operator Confidence and Efficiency for Failure Detection and Localization, Peter Bodik, Greg Friedman, Lukas Biewald, Helen Levine, George Candea, Kayur Patel, Gilman Tolle, Jon Hui, Armando Fox, Michael I. Jordan, David Patterson. In The 2nd IEEE International Conference on Autonomic Computing (ICAC '05), Seattle, June 2005. (pdf)

A Flexible Architecture for Statistical Learning and Data Mining from System Log Streams, Wei Xu, Peter Bodik, David Patterson. In workshop on Temporal Data Mining: Algorithms, Theory and Applications at The Fourth IEEE International Conference on Data Mining (ICDM'04), Brighton, UK, November 2004. (pdf)

Distributed Regression: an Efficient Framework for Modeling Sensor Network Data, Carlos Guestrin, Romain Thibaux, Peter Bodik, Mark A. Paskin, and Samuel Madden. In Information Processing in Sensor Networks (IPSN '04), Berkeley, April 2004. (pdf)

Formation of a Common Spatial Lexicon and its Change in a Community of Moving Agents, P. Bodik, M. Takac; in Frontiers in AI: Proceedings of SCAI '03, IOS Press, (pdf)

Language Change in Multi-generational Community, P. Bodik; in Proceedings of CALCI-03, Elfa, 2003, (pdf)

Emergence of Language in Spatial Language Games, P. Bodik, diploma thesis, 2003, (pdf)

::links::

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graduálne štúdium v USA