Time and cost-effective recovery mechanism for unhealthy resources in proactive fault tolerance framework
Time and cost-effective recovery mechanism for unhealthy resources in proactive fault tolerance framework
- Author(s): T. Tamilvizhi 1 and R. Surendran 2
- DOI: 10.1049/icp.2021.0756
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- Author(s): T. Tamilvizhi 1 and R. Surendran 2
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View affiliations
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Affiliations:
1:
Department of Information Technology , Vel Tech Multi Tech Dr. Rangarajan Dr. Sakunthala Engineering College , Chennai , India ;
2: Department of Computer Science & Engineering , Chennai Institute of Technology , Chennai , India
Source:
3rd Smart Cities Symposium (SCS 2020),
2021
p.
444 – 449
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Affiliations:
1:
Department of Information Technology , Vel Tech Multi Tech Dr. Rangarajan Dr. Sakunthala Engineering College , Chennai , India ;
- Conference: 3rd Smart Cities Symposium (SCS 2020)
- DOI: 10.1049/icp.2021.0756
- ISBN: 978-1-83953-522-2
- Location: Online Conference
- Conference date: 21-23 September 2020
- Format: PDF
Cloud Computing is an essential technique to share the services and resources for small and large level organizations. A Cloud computing application providing fault tolerance resource selection during load balancing to enable efficient resource allocation for users is developed. The main aim of the proposed work is to implement a time and cost-effective recovery mechanism for unhealthy resources in proactive fault tolerance framework. The proposed work is used to develop the time and cost-effective recovery mechanism for unhealthy resources in proactive fault tolerance Framework to prevent the failure. It covers software fault tolerance, hardware and network faults management with average energy consumption. The proposed work utilizes the following techniques to achieve high reliability. Utilized techniques are proactive fault tolerance, self-healing, fuzzy logic and Quality of Service parameters. Time and cost effectiveness are calculated for the proposed recovery mechanism for unhealthy resources in proactive fault tolerance framework. The benefits of the proposed work are high reliability, high recovery of unhealthy resources, less time and cost effective.
Inspec keywords: system recovery; software fault tolerance; fault tolerant computing; quality of service; fuzzy logic; cloud computing; resource allocation
Subjects: Diagnostic, testing, debugging and evaluating systems; Formal logic; Internet software; Software engineering techniques