Kaleidoscope combines temporal/spatial differential observability, stochastic health modeling with path redundancy, and healthy/unhealthy metric comparison to attribute root causes of storage performance issues, reporting 95.8% accuracy on real PetaStore data at 5-minute intervals.
In Proceedings of the 23rd IEEE International Symposium on Reliable Distributed Systems (SDRS’04) (Florianópolis, Brazil, Oct
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Live Forensics for Distributed Storage Systems
Kaleidoscope combines temporal/spatial differential observability, stochastic health modeling with path redundancy, and healthy/unhealthy metric comparison to attribute root causes of storage performance issues, reporting 95.8% accuracy on real PetaStore data at 5-minute intervals.