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Fail Over Strategy for Fault Tolerance in Cloud Computing Environment
Mohammed, Bashir Kiran, Mariam Maiyama, Kabiru M. Kamala, Mumtaz A. Awan, Irfan U.
Mohammed, Bashir
Kiran, Mariam
Maiyama, Kabiru M.
Kamala, Mumtaz A.
Awan, Irfan U.
Publication Date
2017-09
End of Embargo
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© 2017 Wiley. This is the peer reviewed version of the following article:
Mohammed B, Kiran M, Maiyama KM et al (2017) Failover strategy for fault tolerance in cloud
computing environment. Software: Practice and Experience. 47(9): 1243-1274, which has been
published in final form at https://doi.org/10.1002/spe.2491. This article may be used for noncommercial
purposes in accordance with Wiley Terms and Conditions for Self-Archiving.
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openAccess
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2017-01-20
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Abstract
Cloud fault tolerance is an important issue in cloud computing platforms and applications. In the event of an unexpected
system failure or malfunction, a robust fault-tolerant design may allow the cloud to continue functioning correctly
possibly at a reduced level instead of failing completely. To ensure high availability of critical cloud services, the
application execution and hardware performance, various fault tolerant techniques exist for building self-autonomous
cloud systems. In comparison to current approaches, this paper proposes a more robust and reliable architecture using
optimal checkpointing strategy to ensure high system availability and reduced system task service finish time. Using
pass rates and virtualised mechanisms, the proposed Smart Failover Strategy (SFS) scheme uses components such as
Cloud fault manager, Cloud controller, Cloud load balancer and a selection mechanism, providing fault tolerance via
redundancy, optimized selection and checkpointing. In our approach, the Cloud fault manager repairs faults generated
before the task time deadline is reached, blocking unrecoverable faulty nodes as well as their virtual nodes. This scheme
is also able to remove temporary software faults from recoverable faulty nodes, thereby making them available for future
request. We argue that the proposed SFS algorithm makes the system highly fault tolerant by considering forward and
backward recovery using diverse software tools. Compared to existing approaches, preliminary experiment of the SFS
algorithm indicate an increase in pass rates and a consequent decrease in failure rates, showing an overall good
performance in task allocations. We present these results using experimental validation tools with comparison to other
techniques, laying a foundation for a fully fault tolerant IaaS Cloud environment.
Version
Accepted manuscript
Citation
Mohammed B, Kiran M, Maiyama KM et al (2017) Failover strategy for fault tolerance in cloud
computing environment. Software: Practice and Experience. 47(9): 1243-1274.
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Article