• Santosh Kumar Maurya
• Dr. Garmia sinha

Cloud computing is a cutting-edge worldview that allows for the provision of many forms of assistance over the Internet. Task scheduling and load balancing is an important and vital component of cloud computing, and load imbalance refers to the situation in which some nodes get overloaded while the remaining nodes are idle or have just minor work to perform. By attempting to enhance the Quality of Service (QoS) measurement metrics, such as the minimum makespan, load balancing is attempting to improve the usage of cloud resources. Cloud computing infrastructure scheduling involves a number of difficult challenges such as computing time, budgeting, load balancing, and other factors. Load balancing is one of the most difficult and time-consuming concerns for Cloud platforms to address. Load balancing techniques are used primarily to improve resource usage and throughput by distributing the workload over multiple servers. In this study, we evaluate the existing methods for job scheduling and load-balancing algorithms, as well as provide information and insight into the identification of unresolved concerns and guidelines for future research, as well as recommendations for further research.

Cloud computing, load balancing, and task scheduling, virtual machine, makespan time

"ANALYSIS OF LOAD BALANCING ALGORITHMS IN THE CLOUD COMPUTING ENVIRONMENT: A REVIEW", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 11, page no.b235-b242, November-2021, Available :http://www.jetir.org/papers/JETIR2111129.pdf

"ANALYSIS OF LOAD BALANCING ALGORITHMS IN THE CLOUD COMPUTING ENVIRONMENT: A REVIEW", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 11, page no. ppb235-b242, November-2021, Available at : http://www.jetir.org/papers/JETIR2111129.pdf