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Fingerprinting the Datacenter

Fingerprinting the Datacenter. Offense Mykell Miller, Gautam Bhawsar. Crisis Detection. Why don’t you detect unidentified crises? How severe is each crisis? May affect recovery method May affect detection probability and method Useful for operators to know

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Fingerprinting the Datacenter

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  1. Fingerprinting the Datacenter Offense Mykell Miller, Gautam Bhawsar

  2. Crisis Detection • Why don’t you detect unidentified crises? • How severe is each crisis? • May affect recovery method • May affect detection probability and method • Useful for operators to know • Fingerprints are averaged over epochs in the crisis • Everywhere else you use the median

  3. Time to identification • What are you doing for 10 minutes? • Why have the time between epochs be 15 minutes? • Will shorter lead to more accurate or quicker identification?

  4. Data Center • What is the configuration? • Fat tree, etc. • What kind of servers? • Type of servers affects type and frequency of crises • Using only Windows • Study cannot be applied to other OS

  5. Data Set • Only 19 examples • 8 types of crises had only 1 instance each • Training set of only 5 examples • No statistics on the user application being run • Don’t know if it’s representative

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