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    Optimising Fault Tolerance in Real-time Cloud Computing IaaS Environment

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    Publication date
    2016-08-22
    Author
    Mohammed, Bashir
    Kiran, Mariam
    Awan, Irfan U.
    Maiyama, Kabiru M.
    Keyword
    Cloud computing; Fault tolerance; Virtual machine; Pass rate; Fail rate; Cloud fault handler
    Peer-Reviewed
    Yes
    
    Metadata
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    Abstract
    Fault tolerance is the ability of a system to respond swiftly to an unexpected failure. Failures in a cloud computing environment are normal rather than exceptional, but fault detection and system recovery in a real time cloud system is a crucial issue. To deal with this problem and to minimize the risk of failure, an optimal fault tolerance mechanism was introduced where fault tolerance was achieved using the combination of the Cloud Master, Compute nodes, Cloud load balancer, Selection mechanism and Cloud Fault handler. In this paper, we proposed an optimized fault tolerance approach where a model is designed to tolerate faults based on the reliability of each compute node (virtual machine) and can be replaced if the performance is not optimal. Preliminary test of our algorithm indicates that the rate of increase in pass rate exceeds the decrease in failure rate and it also considers forward and backward recovery using diverse software tools. Our results obtained are demonstrated through experimental validation thereby laying a foundation for a fully fault tolerant IaaS Cloud environment, which suggests a good performance of our model compared to current existing approaches.
    URI
    http://hdl.handle.net/10454/15638
    Version
    No full-text available in the repository
    Citation
    Mohammed B, Kiran M, Awan IU et al (2017) Optimising Fault Tolerance in Real-Time Cloud Computing IaaS Environment. In: Proceedings of the IEEE 4th International Conference on Future Internet of Things and Cloud (FiCloud) 22-24 Aug 2016. Vienna, Austria.
    Link to publisher’s version
    https://doi.org/10.1109/FiCloud.2016.58
    Type
    Conference paper
    Collections
    Engineering and Informatics Publications

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