Research Area:  Cloud Computing
In cloud computing environment tasks are allocated among virtual machines (VMs) having different length, starting time and execution time. Therefore, balancing these loads among VM is a key factor. Load balancing has to be carried out in such a manner that all VMs should have balanced to achieve optimal utilization of its capabilities and improve the system performance. In this paper, we proposed a load balancing technique by using modified PSO task scheduling (LBMPSO) to schedule tasks over the available cloud resources that minimizes the makespan and maximizes resource utilization. This is achieved by having proper information among the tasks and resources within the datacenter. Our proposed scheduling algorithm is implemented by using CloudSim simulator. Simulation results clearly shows that proposed scheduling algorithm performs better in reducing makespan and increases the resource utilization than other existing techniques.
Author(s) Name:  Arabinda Pradhan,Sukant Kishoro Bisoy
Journal name:  Journal of King Saud University - Computer and Information Sciences
Publisher name:  Elsevier
Volume Information:  Volume 2020
Paper Link:   https://www.sciencedirect.com/science/article/pii/S1319157820304961