Hybrid Spotted Hyena based Load Balancing algorithm (HSHLB)

Abstract

In this article, we probe into the middle of our suggested dynamic burden distribution mechanism. We name it Hybrid Spotted Hyena based Load Balancing algorithm (HSHLB). To begin with, the current literature provides an overview of the Spotted Hyena Optimization Algorithm (SHOA) and its basic behaviors that include migration, and attacking. Next, we unveil what is referred to as Load Balancing Algorithm (LB), and explain its fundamental concepts at the same time as we reemphasize various special features. Thirdly, realizing that both SHOA and LB methods have their comparative advantages and disadvantages within our system, engagement in a hybridization process between SHOA and LB yields reputation for a more powerful HSHLB. Fourthly I will demonstrate how these three algorithms are applied jointly, and how best their beneficial qualities are taken by HSHLB without bringing about their disadvantageous attributes. While reading this section, the reader will be able to educates himself on how the HSHLB functions, which will enable him understand all the processes that are involved in this program among other parameters that are necessary for implementation hence simplicity shall be dealt through the use of pseudocode or flowcharts meant to depict the actual process of the implementation of HSHLB. To sum up to this stage of the work Section 3 introduced a theoretical basis for the application of HSHLB in an attempt to achieve the goal of dynamic load balancing to pave way to the remaining parts of the work which presents revised implementation strategies, results, and analysis. When comparing different aspects for example SHOA and LB; it prove beyond doubt that HSHLB could be an answer to many sided challenges resulting from load balancing within the cloud computing since resource provision can be optimally enhanced by strengths registering to these methods and more importantly improving on service quality(QoS