Predicting gray fault based on context graph in container-based cloud
Author:
Affiliation:
1. School of Computer and Electronic Information, Guangxi University,Nanning,China
Funder
Natural Science Foundation of China
National Key Research and Development Project of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9700162/9700165/09700227.pdf?arnumber=9700227
Reference21 articles.
1. Limplock
2. Rapid Detection and Localization of Gray Failures in Data Centers via In-band Network Telemetry
3. PerfScope
4. Patterns in the Chaos—A Study of Performance Variation and Predictability in Public IaaS Clouds
5. Taming performance variability;maricq;13th USENIX Symposium on Operating Systems Design and Implementation ( OSDI 18),2018
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1. Container cascade fault detection based on spatial–temporal correlation in cloud environment;Journal of Cloud Computing;2023-04-17
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