Towards cloud-based resource management for big data applications

Document Type : Original Article - Short Paper

Authors

1 Department of Computer Engineering, Qom Branch, Islamic Azad University, Qom, Iran.

2 Department of Computer Engineering and Information Technology, Amirkabir University of Technology, Tehran, Iran.

Abstract

In the age of information technology, analyzing data in the cloud through efficient resource management is recognized as an effective solution to meet the quality-of-service needs of users. In this regard, this paper proposes a fuzzy selector-based approach to improve the virtual machine (VM) migration process that provides a balance between servers during the processing of tasks. The proposed approach is a hierarchical resource prediction that includes local and global parts for processing requests. Evaluations demonstrate the superiority of the proposed approach over state-of-the-art methods. The results show that the proposed approach reduces the cost by 10% compared to FAHP.

Keywords

References

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Soft Computing Journal
Volume 12, Issue 1 - Serial Number 23
September 2023
Pages 38-40

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History

  • Receive Date: 11 April 2022
  • Revise Date: 11 March 2023
  • Accept Date: 27 March 2023

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