CompSci Self-Managing Systems

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Presentation transcript:

CompSci 296.2 Self-Managing Systems Shivnath Babu In this talk my aims are: - to give an overview of the work that we have been doing at Stanford on adaptive processing in the stream system and what we are doing now [past and current work] - facilitate some interesting discussion. Hope the title is provoking enough I will not be comparing our system with eddies explicitly, although I am doing some work in that respect with DeWitt and one of his students.

Reminder Slides and 2-page writeup due by next Tuesday Feb 21: 3-minute talk

Correlating Instrumentation Data to System States Collect performance data, with SLA violations Build models: Tree-Augmented Bayesian Networks Model correlates system metrics to SLA violations Simplifies problem diagnosis

Correlating Instrumentation Data to System States Collecting performance data Recording SLA (SLO) violations Mapping to a classification problem Balanced accuracy TANs Finding the best TAN Experiments

Discussion Strong points Weak points Thorough Formalize problem Clarify assumptions Detailed experiments Discussion of future work Weak points Sometime descriptions are fuzzy/missing Ex: Building TAN, Using TAN, Interpretability, Graphs Realistic experiments?

Discussion Experiments Premises (Section 2.1) Future work