International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395 -0056 Volume: 04 Issue: 01 | Jan -2017 www.irjet.net p-ISSN: 2395-0072 © 2017, IRJET | Impact Factor value: 5.181 | ISO 9001:2008 Certified Journal | Page 1472 SIR (System Information Reporter) Framework for Performance Comparison of Different Operating Systems with KVM Hypervisor Abhishek K.L 1 , Anupama K.C 2 1 M.Tech, IV Sem, Dept. of ISE, Bangalore Institute of Technology, Bangalore, Karnataka, India 2 Assistant Professor, Dept. of ISE, Bangalore Institute of Technology, Bangalore, Karnataka, India ---------------------------------------------------------------------***-------------------------------------------------------------------- Abstract-Hypervisors enable multiple operating systems to run above it with the help of virtualization technique by sharing underlying physical resources. KVM (Kernel- based Virtual Machine) hypervisor is chosen here which uses hybrid virtualization technique i.e., it uses full virtualization technique along with hardware assisted virtualization. It is motivating to analyze different Operating Systems (OSs) performance with KVM hypervisor. We have chosen three guest operating systems, namely Windows 7, CentOS7 and Ubuntu 14.02 for the experimentation. The three Operating Systems (OSs) are prudently chosen to represent three categories namely Hardware virtualized gust, para-virtualized commercial guest and para-virtualized free guest. The Operating Systems are compared by performance tests of CPU utilization, memory management, disk activity, and network communication. Important System information is gathered using SIR (System Information Reporter) framework on the respective guest Operating System on KVM hypervisor. Keywords: virtualization, hypervisor, SIR, KVM. I. INTRODUCTION Virtualization technology is explanation of something a well known as became lost in basic material, computerized information devices, occupied systems or a server which will be created in virtual (rather than actual) way of doing thing for the usage. These technologies are accepted on a large scale in the society right to its expansion in show and tell the resources across the determined regions. Virtualization comes facing the romp where there is a World Wide Web connecting places to places. Virtualization allows active on many occupied systems at a presage which will give stage to associate those hired systems performance [1]. Hypervisors empower distributed computing model to give adaptable foundations and on interest access to processing assets as they backing numerous working frameworks to keep running on one physical server simultaneously. Hypervisor sellers do assert that they have invalidated virtualization overhead totally contrast with local framework, yet there exists certain moment virtualization overhead on the grounds that virtual machines need to speak with center layer hypervisor to get to the hidden physical equipment furthermore there is an effect of other virtual machines running on the same hypervisor Different virtualization systems like full virtualization, para-virtualization and cross breed model virtualization are utilized as a part of hypervisors advancement [2]. Performance evaluation involves four types of parameters, to be compared in three different stages.CPU performance assessment, network performance assessment, I/O read-write performance assessment, memory performance assessment are the four parameters which will be providing information about the operating systems performances. Three stages of comparison of performances are low workload, medium workload and high workload which will provide the performance results in three different levels leads to easy evaluation of performances. SIR framework will give the information about the CPU processing time, memory used and other valuable information as well, which can be plotted to find the results changes in the performance assessments of all the parameters which are involved [3]. II. RELATED WORK P. VijayaVardhan Reddy, et-al [4]the paper, DzEvaluation of different hypervisors performance in the private clouddz evaluates the performance of three hypervisors ESXi, XenServerǯs and KVM using S)GAR framework for system information and Passmark for system workloads in the private cloud environment. Private cloud has been designed using open source cloud computing software CloudStack. Hypervisors are deployed as hosts in the CloudStack. This paper recommends best suited hypervisors for respective workloads in the private cloud based on the performance of system information and system workloads.