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Ghobaei, M., Shahidinejad, A., Torabi, M. (2020). Resource Elasticity Management using Fuzzy Controller Based on Threshold Changes in the Cloud Computing Environment. Electronic and Cyber Defense, 8(3), 63-81.
M. Ghobaei; A. Shahidinejad; M. Torabi. "Resource Elasticity Management using Fuzzy Controller Based on Threshold Changes in the Cloud Computing Environment". Electronic and Cyber Defense, 8, 3, 2020, 63-81.
Ghobaei, M., Shahidinejad, A., Torabi, M. (2020). 'Resource Elasticity Management using Fuzzy Controller Based on Threshold Changes in the Cloud Computing Environment', Electronic and Cyber Defense, 8(3), pp. 63-81.
Ghobaei, M., Shahidinejad, A., Torabi, M. Resource Elasticity Management using Fuzzy Controller Based on Threshold Changes in the Cloud Computing Environment. Electronic and Cyber Defense, 2020; 8(3): 63-81.

Resource Elasticity Management using Fuzzy Controller Based on Threshold Changes in the Cloud Computing Environment

پدافند الکترونیکی و سایبری
Article 6, Volume 8, Issue 3 - Serial Number 31, November 2020, Pages 63-81    PDF (1.47 M)
Document Type: Original Article
Authors
M. Ghobaei* 1; A. Shahidinejad2; M. Torabi3
1Department of computer engineering, Qom Branch, Islamic Azad University, Qom, Iran
2Computer department, Faculty of Engineering, Islamic Azad University of Qom.
3Information Security, Taali University
Receive Date: 17 September 2019,  Revise Date: 13 January 2020,  Accept Date: 01 February 2020 
Abstract
Increasing the popularity and profitableness of cloud computing is dependent on providing the capabilities and features that the users desire. Elasticity is one of the strongest features that distinguish the cloud computing domain from other distributed system approaches. Cloud computing takes into account an unlimited capacity of the resources for the consumer, and the consumer can take the resources in demand based on competitive rates and increase or  decrease the number of resources. There have been many improvements to elasticity management by previous        researches. However, further researches are necessary to manage elasticity more efficiently. In this paper, an        approach for improving elasticity is presented using the fuzzy control system based on threshold changes for           high-performance computing applications in cloud computing. In the proposed approach, elasticity management is based on continuous monitoring and decision making. The results indicate that the proposed approach has a better performance in terms of response time, cost and service level agreement (SLA) violation, compared to previous      studies. In comparison with each of the two specified approaches, the response time of the proposed method has decreased by 6.5% and 9%, cost by 6% and 12%, and service level agreement (SLA) violation by 68% and 77.5%, respectively.
 
Keywords
Elasticity; Resource Provisioning; Fuzzy Control System; Threshold; Cloud Computing
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