Task Failure Prediction in Cloud Data Centers Using Deep Learning

A large-scale cloud data center needs to provide high service reliability and availability with low failure occurrence probability. However, current large-scale cloud data centers still face high failure rates due to many reasons such as hardware and software failures, which often result in task and...

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Veröffentlicht in:	IEEE transactions on services computing Jg. 15; H. 3; S. 1411 - 1422
Hauptverfasser:	Gao, Jiechao, Wang, Haoyu, Shen, Haiying
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Piscataway IEEE 01.05.2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Accuracy Algorithms Cloud computing cloud data center Computer centers Data centers Deep learning Failure Failure analysis Failure rates Machine learning Multilayers Predictive models Reliability Software Support vector machines Task analysis Task failure
ISSN:	1939-1374, 2372-0204
Online-Zugang:	Volltext
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