Gabel et al., 2014 - Google Patents
Latent fault detection with unbalanced workloadsGabel et al., 2014
View PDF- Document ID
- 2824239955192194368
- Author
- Gabel M
- Sato K
- Keren D
- Matsuoka S
- Schuster A
- Publication year
- Publication venue
- Proc. EDBT/ICDT Joint Conf. Workshop
External Links
Snippet
Big data means big datacenters, comprised of hundreds or thousands of machines. With so many machines, failures are commonplace. Failure detection is crucial: undetected failures may lead to data loss and outages. Recent health monitoring approaches use anomaly …
Classifications
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- G06F11/3409—Recording or statistical evaluation of computer activity, e.g. of down time, of input/output operation; Recording or statistical evaluation of user activity, e.g. usability assessment for performance assessment
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- G06F11/3466—Performance evaluation by tracing or monitoring
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- G06F11/0706—Error or fault processing not based on redundancy, i.e. by taking additional measures to deal with the error or fault not making use of redundancy in operation, in hardware, or in data representation the processing taking place on a specific hardware platform or in a specific software environment
- G06F11/0721—Error or fault processing not based on redundancy, i.e. by taking additional measures to deal with the error or fault not making use of redundancy in operation, in hardware, or in data representation the processing taking place on a specific hardware platform or in a specific software environment within a central processing unit [CPU]
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