A Systematic Literature Review on Task Allocation and Performance Management Techniques in Cloud Data Center

As cloud computing usage grows, cloud data centers play an increasinglyimportant role. To maximize resource utilization, ensure service quality, andenhance system performance, it is crucial to allocate tasks and manageperformance effectively. The purpose of this study is to provide an extensiveanalysis of task allocation and performance management techniques employed incloud data centers. The aim is to systematically categorize and organizeprevious research by identifying the cloud computing methodologies, categories,and gaps. A literature review was conducted, which included the analysis of 463task allocations and 480 performance management papers. The review revealedthree task allocation research topics and seven performance management methods.Task allocation research areas are resource allocation, load-Balancing, andscheduling. Performance management includes monitoring and control, power andenergy management, resource utilization optimization, quality of servicemanagement, fault management, virtual machine management, and networkmanagement. The study proposes new techniques to enhance cloud computing workallocation and performance management. Short-comings in each approach can guidefuture research. The research's findings on cloud data center task allocationand performance management can assist academics, practitioners, and cloudservice providers in optimizing their systems for dependability,cost-effectiveness, and scalability. Innovative methodologies can steer futureresearch to fill gaps in the literature.