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CompSci Self-Managing Systems

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Presentation on theme: "CompSci Self-Managing Systems"— Presentation transcript:

1 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.

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

3 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

4 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

5 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?

6 Discussion Experiments Premises (Section 2.1) Future work


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