Techniques for load balancing throughout the cloud: a comprehensive literature analysis
DOI:
https://doi.org/10.22399/ijcesen.796Keywords:
Cloud Computing, Resource utilization, Over Load, Load balancing, Fault ToleranceAbstract
Recently, "Cloud-Computing (CC)" has become increasingly common because it's a new paradigm for handling massive challenges in a versatile and efficient way. CC is a form of decentralized computation that uses an online network to facilitate the sharing of various computational and computing resources among a large number of consumers, most commonly referred to as "Cloud-Users (CUs)”. The burdens on the "Cloud-Server (CS)" could be either light or too heavy, depending on how quickly the volume of CUs and their demands are growing. Higher response times and high resource usage are two of the many issues resulting from these conditions. To address these issues and enhance CS efficiency, the "Load-Balancing (LB)" approaches are very effective. The goal of an LB approach is to identify over-loading and under-loading CSs and distribute the workload accordingly. Publications have employed numerous LB techniques to enhance the broad effectiveness of CS solutions, boost confidence among end CUs, and ensure effective governance and suitable CS. A successful LB technique distributes tasks among the many CSs within the network, thereby increasing performance and maximizing resource utilization. Experts have shown an abundance of engagement on this issue and offered several remedies over the past decade. The primary goal of this extensive review article is to examine different LB variables and provide a critical analysis of current LB techniques. Additionally, this review article outlines the requirements for a new LB technique and explores the challenges associated with LB in the context of CC. Conventional LB techniques are insufficient because they ignore operational efficiency and “Fault-Tolerance (FT)” measures. The present article, to bridge the gaps in existing research, could assist academics in gaining more knowledge about LB techniques within CC.
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