A Comprehensive Parameter Study on Task Scheduling in Cloud Computing: Research Directions

Cloud computing has transformed traditional approaches to computing applications are developed and deployed, operating on a"pay-for-use"model where clients rent the resources from cloud services. However, cloud providers face challenges in completing user jobs quickly while ensuring cost, security, and energy efficiency. To address these challenges, this systematic review examines recent research on multi-objective techniques. It plays an important role in cost reduction and performance enhancement, maximizing resource utilization. As a result, there's a growing reliance on multi objective approaches to tackle complicated scheduling goals. This literature review can provide a structure and optimization methods, emphasizing trends and developments across various approaches and we also conducted a analysis on classification of task scheduling algorithms in recent studies. Our analysis offers insights into current practices and best-fit approaches for different algorithm, providing guidance for cloud providers to optimize their services.