Load Balancing, Scheduling and Resource Allocation in Cloud Computing

  • Rajesh Kumar Pathak, Dr. Shuchita Upadhyay


Nowadays all of the system and technology are combined with the cloud computing system. On seeing the survey report 74% of system use a cloud system, the growth of the cloud computing is increasing day by day. Even though, it is an increasing paradigm in the networking system, but it possess some challenging issues such as load balancing, scheduling and allocation of resources. The key objective of Cloud Computing (CC) is better to use the large number of distributed resources with high throughput, and to solve the huge amount of resizing problem to maintain the unbalanced job between the datacenter in order to avoid overload and under overload conditions. To achieve this, proper Load Balancing (LB) and scheduling strategy are required to improve the performance of the entire system such as stability, etc. For this, we do a survey on the existing approach to identify the problem. From this, we find a way to select the correct algorithm to schedule the exact workload and important features needed for that RA algorithm. To provide better planning of CC resources, the type of allocation of homogeneous and heterogeneous can increase the use of resources.

How to Cite
Dr. Shuchita Upadhyay, R. K. P. (2020). Load Balancing, Scheduling and Resource Allocation in Cloud Computing. International Journal of Advanced Science and Technology, 29(3), 4300 - 4312. Retrieved from https://sersc.org/journals/index.php/IJAST/article/view/5255