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 Proceed- ings of the 16th USENIX Symposium on Networked Systems Design and Implementation (NSDI’19)(Boston, MA, USA, Feb
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.DC 1years
2019 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
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.