Integrated Load Balancing Process in Cloud Environment using Bja Technique
Keywords:
Cloud computing, scheduling algorithm, Load balancing, Cloud networks and Virtual machineAbstract
Cloud computing is a parallel and distributed computing system which comprises a network of interconnected and virtual computers. Various computing tasks are performed in the cloud environment due to the growing benefits and demands of cloud computing platform. However, task scheduling (TS) is the most critical issue in this system that directly affects the utilization of resources from the cloud. Due to the enormous impact on both front and back end, load balancing (LB) scheduling is undoubtedly a key component that must be studied in the cloud research sector. When a proper load balance is accomplished in the cloud, good resource utilization will be achieved as well. Effective load balancing entails evenly spreading the supplied workload across cloud virtual machines (VMs), resulting in great resource utilization and user satisfaction. Thus, this paper proposes a Balanced Job Allocation (BJA) task scheduling algorithm for task scheduling and load balancing. Taking consideration of parameters like response time, makespan, resource utilization, and service reliability, the proposed approach aims to optimize resources and improve the load balance.
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