Publications

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RAD Lab Publications

2007

  • Communication-Efficient Tracking of Distributed Cumulative Triggers, Ling Huang, Minos Garofalakis, Anthony D. Joseph and Nina Taft. To appear in International Conference on Distributed Computing Systems (ICDCS'07). Toronto, Canada, June 2007. [pdf coming soon]
  • X-Trace: A Pervasive Network Tracing Framework, Rodrigo Fonseca, George Porter, Randy Katz, Scott Shenker, Ion Stoica. To appear in the 4th USENIX Symposium on Networked Systems Design and Implementation -- NSDI 2007, Cambridge, MA, April 2007. [pdf coming soon]
  • Communication-Efficient Online Detection of Network-Wide Anomalies, Ling Huang, XuanLong Nguyen, Minos Garofalakis, Joseph M. Hellerstein, Michael I. Jordan, Anthony Joseph and Nina Taft. To appear in 26th Annual IEEE Conference on Computer Communications (INFOCOM'07). Anchorage, Alaska, May 2007. submission pdf

2006

  • In-Network PCA and Anomaly Detection, Ling Huang, XuanLong Nguyen, Minos Garofalakis, Michael I. Jordan, Anthony Joseph and Nina Taft. In Advances in Neural Information Processing Systems (NIPS) 19. Vancouver, B.C, December 2006. 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 Workshop on Hot Topics in Autonomic Computing (HotAC '06). Dublin, Ireland, June 2006. pdf
  • Statistical Debugging: Simultaneous Identification of Multiple Bugs, Alice Zheng, Michael I. Jordan, Ben Liblit, Naik Mayur and Alex Aiken. To appear in International Conference on Machine Learning (ICML '06), New York: ACM Press, 2006. pdf
  • On Optimal Quantization Rules for Sequential Decision Problems. XuanLong Nguyen, Martin Wainwright and Michael I. Jordan. To appear in International Symposium on Information Theory (ISIT), Seattle, WA, 2006. pdf
  • Divergence Measures, Surrogate Loss Functions and Experimental Design. XuanLong Nguyen, Martin Wainwright and Michael I. Jordan. To appear in Advances in Neural Information Processing (NIPS) 18, Cambridge, MA: MIT Press, 2006. pdf
  • Predictive control for dynamic resource allocation in enterprise data centers, Wei Xu, Xiaoyun Zhu, Sharad Singhal, and Zhikui Wang. To appear in The 10th IEEE/IFIP Network Operations & Management Symposium (NOMS'06), Vancouver, Canada, April 2006.

2005

  • Control Considerations for Scaling Event Processing, Wei Xu, Joseph L. Hellerstein, Bill Kramer and David Patterson. In The 16th IFIP/IEEE Distributed Systems: Operations and Management (DSOM'05), Barcelona, Spain, October 2005. pdf, slides
  • 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, slides

2004

  • 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, slides

Selected Publications from the ROC Project

  • Detecting Application-Level Failures in Component-based Internet Services. Emre Kıcıman, Armando Fox. IEEE Trans. on Neural Networks, Special Issue on Adaptive Learning Systems in Communication Networks (invited paper), Sept. 2005. pdf
  • Path-Based Failure and Evolution Management, Mike Y. Chen, Anthony Accardi, Emre Kıcıman, Jim Lloyd, Dave Patterson, Armando Fox, Eric Brewer. Proceedings of 1st USENIX Symposium on Networked Systems Design and Implementation (NSDI'04), San Francisco, CA, March 2004. pdf
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