Intelligent Fault-Tolerant Mechanism for Data Centers of Cloud Infrastructure

Fault tolerance in cloud computing is considered as one of the most vital issues to deliver reliable services. Checkpoint/restart is one of the methods used to enhance the reliability of the cloud services. However, many existing methods do not focus on virtual machine (VM) failure that occurs due t...

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Bibliographic Details
Published in:Mathematical problems in engineering 2022, Vol.2022, p.1-12
Main Authors: Kumar T, Satish, H S, Madhusudhan, Mustapha, S. M. F. D. Syed, Gupta, Punit, Tripathi, Rajan Prasad
Format: Article
Language:English
Subjects:
Algorithms
Cloud computing
Computer centers
Data centers
Engineering
Fault detection
Fault tolerance
Linear programming
Optimization
Performance enhancement
Power consumption
Recovery
Reliability
Response time
Software services
Virtual environments
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Summary:Fault tolerance in cloud computing is considered as one of the most vital issues to deliver reliable services. Checkpoint/restart is one of the methods used to enhance the reliability of the cloud services. However, many existing methods do not focus on virtual machine (VM) failure that occurs due to the higher response time of a node, byzantine fault, and performance fault, and existing methods also ignore the optimization during the recovery phase. This paper proposes a checkpoint/restart mechanism to enhance reliability of cloud services. Our work is threefold: (1) we design an algorithm to identify virtual machine failure due to several faults; (2) an algorithm to optimize the checkpoint interval time is designed; (3) lastly, the asynchronous checkpoint/restart with log-based recovery mechanism is used to restart the failed tasks. The valuation results obtained using a real-time dataset shows that the proposed model reduces power consumption and improves the performance with a better fault tolerance solution compared to the nonoptimization method.
ISSN:1024-123X
1563-5147
DOI:10.1155/2022/2379643