Performance Measurement and Evaluation of Pluggable to Scheduler Dynamic Load Balancing Algorithm (P2S_DLB) in Distributed Computing Environment

The imbalanced load between clusters is a key issue in distributed computing environment. All existing dynamic load balancing algorithms are post-active, as balancing activities start after system turn into imbalanced state. The better approach is to design pro-active load balancing algorithm which starts working with scheduling algorithms. It helps scheduling algorithms to schedule incoming jobs in such a way that system remains in balanced state. The pluggable to scheduler dynamic load balancing algorithm (P2S_DLB) is designed and evaluated over priority scheduling algorithm in our previous research work. The P2S_DLB is pro-active dynamic load balancing algorithm. In this paper, we have measured and evaluated the performance of P2S_DLB over First Come First Serve (FCFS), Shortest Job First (SJF), and Earliest Deadline First (EDF) scheduling algorithms. The experimental result shows that algorithm has improved the cluster utilization and decreased the imbalance level of distributed computing environment in case of all the three scheduling algorithms.