DocumentCode :
657534
Title :
Failure data analytics to build failure prediction mechanisms
Author :
Dey, Shuvashis ; Jacob, Kandathil Koshy ; Lopez, Jesus A. ; Trivedi, Khushbu
fYear :
2013
fDate :
4-7 Nov. 2013
Firstpage :
102
Lastpage :
103
Abstract :
With ever-growing complexity of computer systems, proactive failure management is turning out to be an effective and essential approach for enhancing availability. Several techniques have been proposed to develop failure prediction models [3]. In this paper we have concentrated on the process to build up a failure prediction model based on the failure reports (service ticket logs) from hardware storage devices.
Keywords :
data analysis; fault tolerant computing; system recovery; availability enhancement; computer system complexity; failure data analytics; failure prediction mechanisms; failure reports; hardware storage devices; proactive failure management; service ticket logs; Analytical models; Computational modeling; Computers; Hardware; History; Maintenance engineering; Predictive models;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Software Reliability Engineering Workshops (ISSREW), 2013 IEEE International Symposium on
Conference_Location :
Pasadena, CA
Type :
conf
DOI :
10.1109/ISSREW.2013.6688883
Filename :
6688883
Link To Document :
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