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

2. 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

3. 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

4. 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

5. 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

6. 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

7. 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