Experimental Study for Performance Measurement of Space-Shared and Time-Shared Scheduling Algorithm with Virtual Machine and Varying Length Jobs using CloudSim

Abstract

Cloud Computing is one of the growing domains of computer science where researchers across the world are working to get deep insight into this domain and to develop new algorithms in various aspects of computing to make it more easily accessible to the users. It provides a simple, web-based, architectural neutral and heterogeneous platform where the users can access the services and resources as per their requirements on a pay per use model with ease. Scheduling is a process through which one process is allowed to use the computing resources while another process is delayed because of unavailability of any resources. Scheduling mechanism makes the system more efficient, faster and fairer. In this paper, I have studied Space-Shared and Time-Shared Scheduling algorithm for Virtual Machine and different length tasks using CloudSim to evaluate the performance based on various parameters like turnaround time (TT), execution time (ET) and waiting time (WT). The objective behind this work is to analyze and evaluate the effectiveness of both algorithms with respect to scheduling the resources.