Journals / CMC / Vol.67, No.1
Table of Content

Research Article

BEST PAPER 2021

Intelligent Cloud Based Load Balancing System Empowered with Fuzzy Logic

Atif Ishaq Khan1, Syed Asad Raza Kazmi1, Ayesha Atta1,*, Muhammad Faheem Mushtaq2, Muhammad Idrees3, Ilyas Fakir1, Muhammad Safyan1, Muhammad Adnan Khan4, Awais Qasim1
1 Department of Computer Science, Government College University, Lahore, 54000, Pakistan
2 Department of Information Technology, Khwaja Fareed University of Engineering and Information Technology, Rahim Yar Khan, 64200, Pakistan
3 Department of Computer Science and Engineering, University of Engineering and Technology Lahore, Narowal Campus, 51600, Pakistan
4 Department of Computer Science, Riphah International University Lahore Campus, Lahore, 54000, Pakistan
* Corresponding Author: Ayesha Atta. Email:
(This article belongs to this Special Issue: Machine Learning-based Intelligent Systems: Theories, Algorithms, and Applications)

Abstract

Cloud computing is seeking attention as a new computing paradigm to handle operations more efficiently and cost-effectively. Cloud computing uses dynamic resource provisioning and de-provisioning in a virtualized environment. The load on the cloud data centers is growing day by day due to the rapid growth in cloud computing demand. Elasticity in cloud computing is one of the fundamental properties, and elastic load balancing automatically distributes incoming load to multiple virtual machines. This work is aimed to introduce efficient resource provisioning and de-provisioning for better load balancing. In this article, a model is proposed in which the fuzzy logic approach is used for load balancing to avoid underload and overload of resources. A Simulator in Matlab is used to test the effectiveness and correctness of the proposed model. The simulation results have shown that our proposed intelligent cloud-based load balancing system empowered with fuzzy logic is better than previously published approaches.

Keywords

Cloud computing; fuzzy logic; load balancing
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