Sla-Based Autonomic Cloud Resource Management Framework by Antlion Optimization Algorithm
Bhupesh Kumar Dewangan1, Amit Agarwal2, Venkatadri M3, Ashutosh Pasricha4

1Bhupesh Kumar Dewangan, Department of Informatics, University of Petroleum and Energy Studies, Dehradun (Uttarakhand), India.
2Amit Agarwal, Department of Cloud Computing and Virtualization, University of Petroleum and Energy Studies, Dehradun (Uttarakhand), India.
3Venkatadri M, Department of Computer Science, Amity University, (Madhya Pradesh), India.
4Ashutosh Pasricha, Head Account, Schlumberger Oil Field, (New Delhi), India.
Manuscript received on 05 February 2019 | Revised Manuscript received on 13 February 2019 | Manuscript published on 28 February 2019 | PP: 119-123 | Volume-8 Issue-4, February 2019 | Retrieval Number: D2659028419/19©BEIESP
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Abstract: Service level agreement SLA is a key to attract the user to opt service from the cloud. The quality-of-service QoS and SLA plays vital role towards the trust to use the services of any application/infrastructure. If SLA violation rate is high then it directly affect to cost and user distraction. In this paper, we have done state-of-art survey on various SLA-aware resource management frameworks and obtain the different objective function and the utilization percentage from year 2014 to 2018. The objective of this paper is to propose SLA-based autonomic resource management technique SMART through antlion optimization algorithm to maximize the resource utilization based on SLA and QoS satisfaction. The execution time, cost and SLA violation rate, objective functions computed for this framework and compare with two existing frameworks. The framework is implements in cloud Sim toolkit and the results recorded the utmost performance. The experimental results confirm that cost, execution time, and resource cost are increasing while SLA violation rate is increasing.
Keyword: Autonomic Computing, Resource Management, SLA Violation Rate, Resource Utilization.
Scope of the Article: Cloud Computing