A Systematic Review of Resource Optimization Strategies in Cloud Computing

Cloud computing has transformed the way organizations and individuals access and utilize computational resources by providing scalable, flexible, and cost-effective on-demand services. Efficient resource management is essential in dynamic cloud environments to maximize performance, ensure Quality of Service (QoS), and minimize operational costs.
The following paper provides a systematic review of resource optimization methods used in cloud computing, namely, load balancing, task scheduling, and resource allocation. The review gives an extensive analysis of state-of-art algorithms, their merits, shortcomings, and applicability in certain contexts. It points out that there is no single algorithm that can be considered as the best one; the selection will be based on the nature of the application, workload, and infrastructure available.
The results are of great use in guiding the researcher, practitioners, and cloud users that would like to optimize the use of resources, improve system performance, and reduce costs in various cloud settings.

Cloud computing; resource optimization; load balancing; task scheduling; resource allocation; systematic review.

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