Welcome to the Winter 2004 ROC Retreat Armando Fox and David Patterson

About ROC Retreats Purpose of semi-annual retreats Logistics Progress reports/talks from academia and industry Exposure/feedback on new ideas or work in progress Brainstorming in immersive atmosphere Industry/visitor feedback, opportunities for collaboration Skiing Logistics Web server with retreat talks/papers - thanks to Mike Howard and Bob Miller

ROC Events Aaron Brown, UC Berkeley => Dr. Aaron Brown, IBM Research Pete Broadwell, UC Berkeley => Pete Broadwell, M.S., ??? Soon: Mike Chen, UC Berkeley => Dr. Mike Chen, ??? ROC work recognized in the 2003 Scientific American 50

Recent Publications (since June 2003) Published or to appear: Ben Ling, Emre Kiciman, Armando Fox: Session State: Beyond Soft State, in NSDI 2004 Mike Chen, Anthony Accardi, Emre Kiciman, Jim Lloyd, Eric Brewer, Armando Fox: Path-Based Failure and Evolution Management, in NSDI 2004 George Candea, Steve Zhang, Emre Kiciman, Armando Fox, Application-Generic Recovery for Internet Middleware, Cluster Computing Journal (special issue on Autonomic Computing), summer 2004 George Candea, James Cutler, Armando Fox, Improving Availability with Recursive Microreboots: A Soft-State System Case Study, Performance Evaluation Journal, 56(1-3), March 2004 In submission: George Candea and Armando Fox, Microreboots: An Application-Generic Recovery Technique for Internet Services, submitted to USENIX 2004 Andy Huang and Armando Fox, Free Recovery: A Step Towards Self-Managing State, submitted to USENIX 2004 Emre Kiciman and Armando Fox, Detecting and Localizing Anomalous Behavior to Discover Failures in Component-Based Internet Services, submitted to USENIX 2004 Yee-Jiun Song, Jeff Raymakers, Wendy Tobagus, Armando Fox. Is MTTR More Important Than MTTF For User-Perceived Availability?, submitted to DSN-IPDS 2004

Preview of some upcoming talks Benchmarking Evaluating undo: human-aware recovery benchmarks Benchmarking distributed services Including latency & data quality in performability evaluation of a web-based service Making recovery nearly free Evaluating the effect of micro-reboots on end users How cheap recovery simplifies persistent state management Embracing statistical analysis Using statistical learning to detect and localize faults in componentized Internet services A statistical learning approach to failure diagnosis for eBay Toward generalized API’s for statistical monitoring

ROC => RADS Generalize ROC approaches that focus on statistical anomaly detection as a way of detecting conditions that require response Generalize “recovery” to “adaptation” System is “always recovering”/”always adapting” Some early examples of this will be featured in talks Insight: statistical pattern recognition provides a degree of application-generic failure detection; nearly-free recovery means we can tolerate some false positives Kickoff panel this evening

Other Highlights Poster advertisements before poster session Three talks from industrial visitors Moises Goldszmidt: statistical pattern recognition applied to systems management Chris Overton: modeling large-scale IT systems Paul Brett: Real-world failures, a systemic view