Systems
Systems
Automatic exploration of datacenter performance regimes.
P. Bodik, R. Griffith, C. Sutton, A. Fox, M. I. Jordan, and D. Patterson.
First Workshop on Automated Control for Datacenters and Clouds (ACDC),
Barcelona, Spain, 2009.
Statistical machine learning makes automatic control practical for
Internet datacenters.
P. Bodik, R. Griffith, C. Sutton, A. Fox, M. I. Jordan, and D. Patterson.
Workshop on Hot Topics in Cloud Computing (HotCloud),
San Diego, CA, 2009.
Probabilistic inference in queueing networks.
C. A. Sutton and M. I. Jordan.
Workshop on Tackling Computer Systems Problems with Machine
Learning Techniques (SYSML), 2008.
Predicting multiple performance metrics for queries: Better decisions enabled
by machine learning.
A. Ganapathi, H. Kuno, U. Dayal, J. Wiener, A. Fox, M. I. Jordan, and D. Patterson.
IEEE International Conference on Data Engineering (ICDE), to appear.
Communication-efficient online detection of network-wide anomalies.
L. Huang, X. Nguyen, M. Garofalakis, J. M. Hellerstein, M. I. Jordan,
A. Joseph, and N. Taft.
26th Annual IEEE Conference on Computer Communications (INFOCOM'07), 2007.
In-network PCA and anomaly detection.
L. Huang, X. Nguyen, M. Garofalakis, M. I. Jordan, A. Joseph, and N. Taft.
In B. Schoelkopf, J. Platt and T. Hofmann (Eds.),
Advances in Neural Information Processing Systems
(NIPS) 19, 2007.
[Long version].
Response-time modeling for resource allocation and energy-informed SLAs.
P. Bodik, C. Sutton, A. Fox, D. Patterson, and M. I. Jordan.
Workshop on Statistical Learning Techniques for Solving Systems Problems,
Whistler, BC, 2007.
Statistical debugging: Simultaneous identification of multiple bugs.
A. Zheng, M. I. Jordan, B. Liblit, M. Nayur, and A. Aiken.
Proceedings of the 23rd International Conference on Machine
Learning (ICML), 2006.
Scalable statistical bug isolation.
B. Liblit, M. Naik, A. X. Zheng, A. Aiken, and M. I. Jordan.
In press, ACM SIGPLAN Conference on Programming
Language Design and Implementation (PLDI), 2005.
[Software]
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, J. Hui, A. Fox, M. I. Jordan, and D. Patterson.
International Conference on Autonomic Computing (ICAC), 2005.
Combining statistical monitoring and predictable recovery for
self-management.
A. Fox, E. Kiciman, D. A. Patterson, R. H. Katz and M. I. Jordan.
ACM SIGSOFT Proceedings of the Workshop on Self-Managed Systems
(WOSS), 2004.
Bug isolation via remote program sampling.
B. Liblit, A. Aiken, A. X. Zheng, and M. I. Jordan.
ACM SIGPLAN 2003 Conference on Programming
Language Design and Implementation (PLDI), San Diego, 2003.
Public deployment of cooperative bug isolation.
B. Liblit, A. Aiken, A. X. Zheng, and M. I. Jordan.
Workshop on Remote Analysis and
Measurement of Software Systems (RAMSS), 2004.
Statistical debugging of sampled programs.
A. X. Zheng, M. I. Jordan, B. Liblit, and A. Aiken.
In S. Thrun, L. Saul, and B. Schoelkopf (Eds.),
Advances in Neural Information Processing Systems (NIPS) 16, 2004.
Failure diagnosis using decision trees.
M. Chen, A. X. Zheng, J. Lloyd, M. I. Jordan, and E. Brewer.
International Conference on Autonomic Computing (ICAC), 2004.
Sampling user executions for bug isolation.
B. Liblit, A. Aiken, A. X. Zheng, and M. I. Jordan.
Workshop on Remote Analysis and
Measurement of Software Systems (RAMSS), 2003.
Stable algorithms for link analysis.
A. Y. Ng, A. X. Zheng, and M. I. Jordan. Proceedings of the
24th International Conference on Research and Development
in Information Retrieval (SIGIR), New York, NY: ACM Press, 2001.
Link analysis, eigenvectors, and stability.
A. Y. Ng, A. X. Zheng, and M. I. Jordan.
International Joint Conference on Artificial Intelligence (IJCAI), 2001.