A Practical Fault Tolerance Approach in Cloud Computing Using Support Vector Machine
Keyword(s):
Fault tolerance is an important issue in the field of cloud computing which is concerned with the techniques or mechanism needed to enable a system to tolerate the faults that may encounter during its functioning. Fault tolerance policy can be categorized into three categories viz. proactive, reactive and adaptive. Providing a systematic solution the loss can be minimized and guarantee the availability and reliability of the critical services. The purpose and scope of this study is to recommend Support Vector Machine, a supervised machine learning algorithm to proactively monitor the fault so as to increase the availability and reliability by combining the strength of machine learning algorithm with cloud computing.
2018 ◽
Vol 7
(4.15)
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pp. 400
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Misalignment Detection of a Rotating Machine Shaft Using a Support Vector Machine Learning Algorithm
2021 ◽
Vol 22
(3)
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pp. 409-416
2020 ◽
Keyword(s):
2019 ◽
Vol 165
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pp. 102812
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2017 ◽
Vol 10
(35)
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pp. 1-9
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