International Journal of Mathematical, Engineering and Management Sciences

ISSN: 2455-7749

Cloud Resource Optimization System Based on Time and Cost

Bhupesh Kumar Dewangan
School of Computer Science and Engineering, University of Petroleum and Energy Studies, Dehradun, India.

Amit Agarwal
School of Computer Science and Engineering, University of Petroleum and Energy Studies, Dehradun, India.

Tanupriya Choudhury
School of Computer Science and Engineering, University of Petroleum and Energy Studies, Dehradun, India.

Ashutosh Pasricha
Schlumberger Pvt. Ltd, New Delhi, India.

DOI https://doi.org/10.33889/IJMEMS.2020.5.4.060

Received on August 02, 2019
  ;
Accepted on March 31, 2020

Abstract

Resource management in cloud could be a time and cost-effective activity if it is managed property. These resources are accessible and computable which is totally dependent upon the management techniques applied in cloud. In a cloud setting, heterogeneous, vulnerability, and scattering of resources creates many issues of distribution among the workloads which need to be compute. Specialists still face inconveniences to pick the prudent, material and expend less time to execution of resource portion to the cloud. This investigation delineates an expansive composed writing examination of asset administration inside the space of cloud typically and cloud asset administration based on SLA with multi-objective functions like cost and time. In this paper, an autonomic cloud resource-management technique is proposed to resolve identified issues by adopting the self-characteristics mechanism and improved Antlion optimization algorithm and tested in cloudsim toolkit and Aws Ec2 environment. The implementation results of proposed work are the evidence that it is better performing as compared with the existing frameworks, however, the performance evaluation method depends upon the different cloud environment and it may vary.

Keywords- Cloud computing, Autonomic computing, Self-optimization, Fuzzy, Resource scheduling.

Citation

Dewangan, B. K., Agarwal, A., Choudhury, T., & Pasricha, A. (2020). Cloud Resource Optimization System Based on Time and Cost. International Journal of Mathematical, Engineering and Management Sciences, 5(4), 758-768. https://doi.org/10.33889/IJMEMS.2020.5.4.060.

Conflict of Interest

The authors confirm that there is no conflict of interest to declare for this publication.

Acknowledgements

This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors. The authors sincerely appreciate the editor and reviewers for their time and valuable comments.

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