Hybrid Secretary Bird - Botox Optimization Algorithm for Load Balancing in Cloud Edge Environment

Abstract

An edge cloud framework is employed to decentralize power to network’s edges. Edge computing brings data processing closer to the source. To avoid overloading or underutilization, which can result in hardware failures or execution delays, effective load balancing is crucial. Hence, this research proposes a novel approach for optimal load balancing within Cloud-Edge Environment (CEE). The process begins by defining cloud-edge model. Next, an improved Bidirectional Long Short-term Memory (Bi-LSTM) model is proposed, incorporating architectural improvements and a normalized loss function to achieve accurate load prediction. Following this, optimal load balancing is performed at edge execution layer using Botox Optimization Incorporated Secretary Bird Optimization (BTI-SBO) algorithm that integrates Secretary Bird Optimization (SBO) and Botox Optimization (BTO), taking into account of constraints such as makespan, server load, response time, Turnaround Time (TAT), reliability, and execution time. The proposed BTI-SBO algorithm enabling faster convergence to high-quality solutions.

Keywords

Load balancing / cloud-edge computing / improved bidirectional-long short term memory / makespan / Botox optimization incorporated secretary bird optimization algorithm

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Systems Engineering Society of China and Springer-Verlag GmbH Germany

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