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International Journal of Innovation and Scientific Research
ISSN: 2351-8014
 
 
Tuesday 22 May 2018

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  Call for Papers (May 2018)  
 
 
 

VMFT: VIRTUAL MACHINE FAULT TOLERANCE IN CLOUD COMPUTING


Volume 22, Issue 2, April 2016, Pages 256–265

 VMFT: VIRTUAL MACHINE FAULT TOLERANCE IN CLOUD COMPUTING

S. Suguna and K. Devi

Original language: English

Received 31 March 2016

Copyright © 2016 ISSR Journals. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract


Cloud computing is the on demand based computing. It is used for storing, retrieving and processing the data with the help of internet connection at anywhere at any time. Today, many real time applications can be remotely processed on cloud environment. It provides many services such as resource pooling, wide range of network access, rapid elasticity etc. However, fault tolerance in cloud computing is the challenging problem nowadays and the detection and recovery of fault are the key issue. In order to reduce the impact of the fault, many fault tolerance techniques have been designed. In this paper, we have proposed the Virtual machine fault tolerance (VMFT). In this technique, the machine tolerates the fault based on the reliability of the virtual machine. It achieves high reliability, availability and reduces the service time. When the application is computed on the virtual machine, the VM which gives correct logical output within the time is considered as best VM among all the virtual machine and then that VM is taken for further processing of an application. With the help of a cloud sim tool the proposed VMFT technique is implemented.

Author Keywords: Fault tolerance, Virtualisation, VM, Cloud computing, cloudsim tool, Reliability, Availability.


How to Cite this Article


S. Suguna and K. Devi, “VMFT: VIRTUAL MACHINE FAULT TOLERANCE IN CLOUD COMPUTING,” International Journal of Innovation and Scientific Research, vol. 22, no. 2, pp. 256–265, April 2016.