Improved scheduling algorithm in VCL Cloud computing environment on CloudSim

Abstract

Cloud Computing has empowered the academic communities by reducing the IT infrastructure administration and cost. As one of several cloud computing solutions, Virtual Cloud Laboratory (VCL) has improved many universities experience by providing hand-on labs for each course per class. VCL has multiple deployment requirements. Although it represents a simplified architecture design, treating a large size VCL deployment might be challenging. In addition, putting the performance of resource allocation policies and different scheduling algorithms under scope could help to quantify the workload running in a real and expanded VCL environment. We aim through this study at identifying the limitations of the default scheduler in VCL and propose an enhanced scheduler. By simulating a VCL cloud computing environment, it might be possible to prove different scheduling algorithms and their impact from performance perspective.