Title: Efficient load balancing in cloud computing using HHO improved by differential perturbed velocity and TEO

Authors: U.K. Jena; M.R. Kabat; P.K. Das

Addresses: Department of Computer Science and Engineering, Veer Surendra Sai University of Technology (VSSUT), Burla, Odisha, India ' Department of Computer Science and Engineering, Veer Surendra Sai University of Technology (VSSUT), Burla, Odisha, India ' Department of Information Technology, Veer Surendra Sai University of Technology (VSSUT), Burla, Odisha, India

Abstract: Load balancing is one of the primary aspects of cloud computing to avoid situations of being overloaded or underloaded in the node. The paper aims to carry out the dynamic load balancing of non-determent independent tasks in the cloud network and resolved through the hybridisation of an improved version of the Harris Hawks Optimisation Algorithm (HHO) improved by differential perturbed velocity and Thermal Exchange Optimisation (TEO). The main motivations of hybridising are to intensify the diversification ability of the device through the load balance with the VMs, optimise different matrices and enhance the convergence speed. The strength of the algorithm has been authenticated by relating the outcome gained from simulation and real platform processes with the surviving load balancing. The conclusions drawn from the simulation and comparison results illustrate that the projected procedure is outstripping its opponent in the manner of different matrices.

Keywords: load balancing; throughput time; cloud network; optimisation.

DOI: 10.1504/IJCAT.2023.133836

International Journal of Computer Applications in Technology, 2023 Vol.72 No.4, pp.308 - 328

Received: 30 Sep 2022
Received in revised form: 12 Dec 2022
Accepted: 08 Jan 2023
Published online: 04 Oct 2023 *

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