Transcript CompSci 296.2 Self-Managing Systems Shivnath Babu

CompSci 296.2
Self-Managing Systems
Shivnath Babu
Reminder
• Today: Progress talk <= 5 minutes
• Send me slides + 2-page writeup by next Tuesday
• Thursday: Speaker from Cisco
• Next Tuesday: Speaker from IBM Tivoli
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Adaptive Metric Attribution
• Recap
– Metric attribution
– TANs
– Balanced accuracy
– Log-likelihood difference
– Experimental results
3
Ensembles
• What are the different approaches they test in the
paper?
• Pros and cons
• Are they depending on “past predicts future”?
• Ensemble-based algorithm
4
Experiments
• Workloads
– Rationale behind the workload selection?
• Table 2
• Figure 3(a)
• Learning surfaces
5
Discussion
• Strong points?
• Weak points?
• Root-cause detection Vs. metric attribution
• Strange behavior with BURST workload
• What are wrong with single models?
• Does it make sense to disqualify models?
• Bullet 3 on Page 3
• Redundancy of metrics in Ensembles
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