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DC Field | Value | Language |
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dc.contributor.author | Ghazi, Shaima’a | - |
dc.contributor.author | Meenakumari, J | - |
dc.date.accessioned | 2023-12-08T10:20:55Z | - |
dc.date.available | 2023-12-08T10:20:55Z | - |
dc.date.issued | 2017 | - |
dc.identifier.citation | Vol. 12, No. 20; pp. 9285-9289 | en_US |
dc.identifier.issn | 0973-4562 | - |
dc.identifier.uri | https://www.ripublication.com/ijaer17/ijaerv12n20_09.pdf | - |
dc.identifier.uri | http://gnanaganga.inflibnet.ac.in:8080/jspui/handle/123456789/2217 | - |
dc.description.abstract | Reliability of VMs has always been a challenge in a cloud environment. A fault tolerance (FT) framework that performs environmental monitoring, event logging, parallel job monitoring and resource monitoring to analyze the virtual machine reliability and to perform fault tolerance service are very much required to handle these challenges. As a part of fault tolerance mechanism there is a thorough necessity for providing preventive solutions to have continuity of services. Hence the proactive failure prediction of Virtual Machine (VMs) needs to be focused and also to be improved. It is mainly required to reduce the down time and cope up the scalability issues. This paper deals with one such predictive algorithm to enhance the efficiency. | en_US |
dc.language.iso | en | en_US |
dc.publisher | International Journal of Applied Engineering Research | en_US |
dc.subject | Cloud environment | en_US |
dc.subject | Virtual machines | en_US |
dc.subject | Fault tolerance predictive algorithms and proactive | en_US |
dc.title | Virtual Machine (VM) Earlier Failure Prediction Algorithm | en_US |
dc.type | Article | en_US |
Appears in Collections: | Journal Articles |
Files in This Item:
File | Description | Size | Format | |
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ijaerv12n20_09.pdf Restricted Access | 521.51 kB | Adobe PDF | View/Open Request a copy |
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