AN EVALUATION OF LOAD BALANCING ALGORITHMS FOR ENERGY AND TASK EFFICIENCY IN CLOUD INFRASTRUCTURE

Abstract

The evolution of cloud computing has been significantly altered by the future rise of the Internet 
of Services. Cloud data centers provide large quantities of power to meet the needs of various 
tenants for cloud applications, which raises running expenses and releases carbon dioxide (CO2) 
into the atmosphere. This may be fixed by creating a new structure, evaluating the impact in a 
cloud data center, and preserving the material to allow for future usage. 
Thus, the cost of processing power is decreased by using trimmed electricity. Optimizing load 
balancing processes is an effective approach to satisfy cloud data centers' energy efficiency 
requirements while achieving energy savings. In order to reduce the significant energy 
consumption of cloud data centers, this approach focuses on boosting productivity via evenly 
distributed workloads. We want to provide a thorough comparison of the state-of-the-art load 
balancing techniques in cloud computing in this research.