Machine Learning-Based Model for Predicting Failure of Physical Machines in Cloud Computing-Reference-Cited by-同舟云学术

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Machine Learning-Based Model for Predicting Failure of Physical Machines in Cloud Computing

Published:2023-11-03 Issue: Volume: Page:413-422
ISSN:1876-1100
Container-title:Lecture Notes in Electrical Engineering
language:
Short-container-title:

Author:

Kumari Priti^ORCID,Dubey Vandana^ORCID,Jain Meenal^ORCID,Mishra G. R.^ORCID

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-99-4795-9_39

Reference18 articles.

1. Kumari P, Kaur P (2020) Topology-aware virtual machine replication for fault tolerance in cloud computing systems. Multiagent Grid Syst 16(2):193–206

2. Kumari P, Kaur P (2021) A survey of fault tolerance in cloud computing. J King Saud Univ Comput Inf Sci 33(10):1159–1176

3. Liu J, Wang S, Zhou A, Kumar SA, Yang F, Buyya R (2016) Using proactive fault-tolerance approach to enhance cloud service reliability. IEEE Trans Cloud Comput 6(4):1191–1202

4. Buyya R, Yeo CS, Venugopal S, Broberg J, Brandic I (2009) Cloud computing and emerging IT platforms: vision, hype, and reality for delivering computing as the 5th utility. Futur Gener Comput Syst 25(6):599–616

5. Islam T, Manivannan D (2017) Predicting application failure in cloud: a machine learning approach. In: 2017 IEEE international conference on cognitive computing (ICCC). IEEE, pp 24–31

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