Performance Analysis of Various Guest OS in Ubuntu 14.04

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1 Performance Analysis of Various Guest OS in Ubuntu R. N modi Engineering College Kota ABSTRACT In this article, it has been decided to implement virtualization in Ubuntu14.04 with the help of KVM/QEMU hypervisor and quantity compares the performance of different-2 Virtual machines. This comparison is taken in Hybrid Cloud System. Virtualization produce interfaces for applications and operating systems (OS). Hardware resources can be used among several OS. Virtualization done at the full machine or just parts of the machine. It is possible to divide the physical hardware among several Virtual Machines. In proposed system a new variant is introduced name as MIPS (Million Instruction per Second) i.e. used in evaluated the performance of various guest Operating System. The CPU Time, CPU percent Usage, Memory were chosen as performed parameter and evaluate the MIPS of different-2 Virtual machine and plot the graph for comparative analysis is performed. This observation was done by Libvirt tool kit commands result and sysbench benchmark tool. Our objective are ow to perform the analysis of various Guest OSs under virtualization environment and to compare the performance of various Guest Operating Systems on Ubuntu. Our results are evaluated in terms of MIPS. In this we use Kernel-based Virtual Machine (KVM) hypervisor to execute our project. Keywords Virtual Machines (VM), Hypervisor, Virtualization, and Kernel Based Virtual Machine (KVM). INTRODUCTION The term Cloud has different types of hardware and software that work jointly to deliver many aspects of computing to the end user. The term Cloud computing indicate access to remote computing services provides by third parties to the Public Internet. Virtualization provides standard interfaces for applications as well as operating Systems and removes their dependency on the hardware or software layer. It is possible to divide the physical hardware among several virtual machines (VM). These VMs are controlled by a virtual machine monitor (VMM). VMs are different from each other by VMM so that they cannot affect each other. In this article a key component of Hybrid Cloud Computing is introduced i.e. virtual infrastructure management. In virtualization platform it provides some virtualized resource like (Xen, kernel base virtual machine, VMware). It manages Private Cloud and the Public Cloud. Virtual Machine Monitor (VMM) is manages the VMs. RELATED WORK Virtualization Virtualization is related to abstraction of physical resource (RAM, secondary memory etc.) and software resources (server s applications). Virtualization gives interfaces for applications and operating systems (OS). Hardware resources can be used with the help of virtualization among several OS. To virtualized full machines or just parts of the machine we used virtualization. Virtualization is mostly used in mainframe system. Nowadays one use of virtualization is to decrease the proliferation of server machines and to improve their cost efficiency. It also reduces the requirement for hardware and reduces running costs such as electricity and memory space. There are three different ways to acquire virtualization which are: Full, Para and Hardware level virtualization. Full virtualization makes virtual machine flexible. The host OS emulates the full hardware package which are detectable by virtualized OS. Guest OS can controls all of the hardware and software resource to it. For example emulate x86 architecture to run Windows XP on a Macintosh with PPC architecture. Para virtualization implements various instances of virtual guest OS. The virtualized image of OS used by virtual machine. This type of virtualization is also known as Single Kernel Image (SKI). Virtual 25

2 server OS is virtualized in this way, which allows the hypervisor and the guest OS to collude for acquiring the fastest and most robust performance. For high performance and isolation of server technology hardware level virtualization is used. In hardware level virtualization virtual machine monitor directly run on the hardware that is control by the guest OS. Hypervisor There are different types of hypervisors are available for acquiring the virtualization Hypervisor is software layer between Virtual machine (VM) and hardware, which provide virtualization. Guest virtual machine is operate on the virtual environment that is created by the virtualization. It also managed the guest systems and makes sure resources are allocated to the guests as per required. There are Type I and Type II, two types of hypervisor. Type I is run on the host machine. It is mostly used in server virtualization. Type II hypervisor run on full host OS to operate. It is working on the top of the host OS. It requires lesser hardware to interface with the host OS. In Java Virtual Machine (JVM) Type II hypervisor used for application portability. For implementing our project-based virtual Machine we use Kernel-based Virtual Machine (KVM) hypervisor. It allows for full virtualization in X86architecture. Major community and enterprise level Linux distributions are supplied by KVM with each that is an open source-project also known as a kernel module. KVM offers an interface, /dev/kvm, which a user-space program, such as Qemu uses to communicate with the hypervisor. Latest version of Red hat version 6 is using KVM. Xen hypervisor was developed by university of Cambridge laboratory. Xen hypervisor is Type 1 hypervisor. Xen is leading for its use of near-native performance and para virtualization. The Xen hypervisor is managed by a specific privileged guest running on the hypervisor known as Domain-0. Domain-0 is a specially modified Linux kernel which is started by the Xen hypervisor during initial system start-up. It is bonded for maintain all the features of the other unprivileged virtual machine or Domain-Ns (DomN). DomN also running on the hypervisor. Commands of Libvirt In this paper Libvirt toolkit is used for communicate the hardware to Guest OS performance. Libvirt is a toolkit that interacts with the virtualization capabilities of Linux and other OS. The aim of Libvirt is to provide a stable and common layer, acceptable to securely maintain domains on a node. Libvirt should give all APIs required to do the management, like: provision, control, create, migrate, modify, monitor, and stop the domains - within the bound of the support of the hypervisor for those operations. Libvirt also give the monitoring management of the Virtual machines and Libvirt s API executes the management policies, checking the domain states and resource consumption of node. Following commands of Libvirt with keyword virsh is used for experimentation. Command s Nodeinfo node cpu-stats percent node memstats Dominfo cpu-stats Vcpuinfo list all Reboot Definition Node / Host Commands Return information about host Return percentage of the CPU running time Return the node memory Domain Commands Return primitive information about Domain Return the CPU running time by Domain CPU information of Host Machine and Virtual machine Monitoring Commands Return the all domain name and their Id with current state In Guest domain Run the reboot command 26

3 Hardware Requirement- For our initial set of experiment consist of Ubnutn14.04 AMD64 on the Host Machine. All the Virtual Machines (Domain) are installed One by One with the help of Virtual Machine Monitor (VMM). We used Ubnutu14.04 and Window XP for the guest Operating Systems. Now guest Operating System run on the host machine. The hardware system was a Lenovo system with a 3.30 GHz x 4 Intel Core i32120, 4 GB of RAM, GB hard drive. The results were evaluated by Libvirt Command using virsh command. WORKING There was in previous paper presenting a comparative analysis of different virtual machine of Ubuntu and WinXP s performance in the CPU running time, Memory usage, percent CPU usage in the KVM hypervisor virtualization. In this, it was measured that how the different virtual machine of single host affects the performance and make informed decision about choice of best virtual machine assign to the cloud guest. Now in proposed system a new term is defined i.e. MIPS (Million Instruction per Second). This article indicates various Guest OS performance of Virtual machines runs in Kernel-based Virtual Machine (KVM) hypervisor in Ubuntu14.04 LTS. In this System first creates a virtual machine(s) in the Ubuntu14.04 after that when the virtual machine (s) is in the running state then Libvirt directory commands are performing to the current system. So that various virtual machines can run into the Ubuntu Every time the hypervisor is same then result is evaluated by the Libvirt commands. At the end systems current resources evaluated that how much it consumed by the system. Thus the project take various virtual machine consumption data then result are compare with the other system. The motive of this article is comparing the system performance to the various running virtual machine(s). So the data shall be taken that used into system performance for example CPU, RAM, Memory, Buffer, and Cache. The result is evaluated in both system Host (Node) and Domain (Virtual Machine). Start Step 1: Create a Virtual Machine(s) in Ubuntu Stop Step 2: Run a Virtual Machine(s) in Ubuntu Step 6: Calculate the MIPS of each VM Step 3: Input the linux commands of Libvert directory Step 4: Libvert virtual shell performing into Operating System analysis the system resources. Step 5: Output the current Virtual Machine consumed resources Fig 4.1 Architectural Diagram of Performance Measurement of Guest OS Virtual machine 27

4 CPU Time by Taken by Virtual Machine (Sec) CPu Usage by Host machine(%) International Journal of Innovations & Advancement in Computer Science RESULTS Running the Different Virtual Machines of UbuntuIn this rsult only one Virtual Machine runs at a time. After that its result is evaluate and compare to other Virtual Machine s result. Scenario 1 When Single Virtual Machine runs at a time Ubuntu10 ubuntu 11 ubuntu 12 ubuntu 14 Virtual Machine (Domain) Usage User Figure 1- Comparative analysis between Hosts (Node) with parameter of CPU Usage States in Different-2 Virtual Machines Summary of Figure 1 This figure shows the comparative analysis of Host Machine (Ubuntu14.04) with the parameter CPU use. The Usage of CPU in Processing the Virtual machine Ubnutu14.04 consumes the maximum CPU Usage 5.8 %. So it clear that Ubuntu14.04 consume the maximum CPU for processing the Virtual Machine. Ubuntu14.04 also consumes 3.8 % of CPU in User processing. This is the maximum in the all virtual machine. The only virtual machine which use the I/O wait is ubnutu CPU Time(Sec) Ubuntu10 ubuntu 11 ubuntu 12 ubuntu 14 Domian (Virtual Machine) Ubuntu10 ubuntu 11 ubuntu 12 ubuntu 14 Figure 2 Comparative analyses between Different-2 Virtual Machine with parameter of CPU Time. Summary of Figure 5.2: This figure shows the comparative result of CPU time use by the Virtual Machine. As the expected domain Ubuntu14.04 take the highest CPU time (78.56 sec) and the Ubuntu10 take only 51.2 sec of CPU time. Million Instruction Per Second Calculation(MIPS) of Virtual Machines The formulae of MIPS = CPU frequency * CPU Time Comparison of Virtual Machine Ubuntu10,Ubuntu11, Ubuntu12.04, Ubuntu14.04 and Windows XP run in the host. 28

5 Table 1: MIPS of Domain Ubuntu10, Ubuntu11, and Ubuntu12.04, Ubuntu14.04 with parameter of CPU Frequency and their CPU time S. No. Domain (64 bit OS) CPU Frequency (Mhz) CPU Time (Sec) HDD (GB) RAM (MB) MIPS 1 Ubuntu Ubuntu Ubuntu Ubuntu MIPS ubuntu Ubuntu 11 Ubuntu Ubuntu ubuntu Ubuntu 11 Ubuntu Ubuntu Figure 3 MIPS of Ubuntu10, Ubuntu11, Ubuntu12.04, Ubuntu14.04, simultaneously Summary of figure 5.3: This figure shows the MIPS status of Ubuntu10, Ubnutu11, Ubuntu12.04, Ubuntu When the HDD of every domain is 8GB and RAM is 2048 MB. Ubuntu has maximum MIPS and its CPU frequency is 3100 MHz, CPU time 59.4sec as expected Ubuntu use the CPU frequency 2700 MHz and CPU time 63.8 sec. CONCLUSION The literature reviewed of research papers have been carried out in the area of performance of Guest OS on Ubuntu Cloud to investigate and find out current challenges and scope of work in the area. After the review, three issues were found which should be given proper concern, during the designing and implementation Virtual Machine in hybrid Cloud computing. The solution methodologies under particular issues were studied in depth and were analyzed on the behalf of various findings, which helped to understand the strengths and weaknesses of the solution approaches. After the reviewed processed found that the performance measurement of Virtual Machine in Ubuntu Cloud an issue of my interest. Hence, undertook a much detailed study of virtualization in computer system with hypervisor KVM, which helped me to understand the challenges faced in the design and implementation of Virtual Machines in the Hybrid Cloud model. The final objective was, to do the performance measurement of different Virtual Machines in Hybrid Cloud system using KVM hypervisor. To achieve this virtualization a hybrid Cloud model was created and various virtual machines were implemented in Ubuntu After that result are evaluated using Libvirt commands. maximum MIPS on 64-bit OS. Only Win XP has 32-bit OS and their MIPS is To achieve the dissertation objectives, the work was further divided into subtasks, like creating the various Virtual Machines in Ubnutu14.04 LTS with KVM virtual machine in different scenarios. 29

6 REFERENCES [1] Aimin Yu; Yu Qin; Dan Wang, "Obtaining the Integrity of Your Virtual Machine in the Cloud," Cloud Computing Technology and Science (CloudCom), 2011 IEEE Third International Conference on, pp.213, 222, Nov Dec [2] Almorsy, M.; Grundy, John; Ibrahim, A.S., "Collaboration-Based Cloud Computing Security Management Framework," Cloud Computing (CLOUD), 2011 IEEE International Conference on, pp.364, 371, 4-9 July [3] AlinZhong; Hai Jin; Song Wu; Xuanhua Shi; Wei Gen, "Optimizing Xen Hypervisor by Using Lock-Aware Scheduling," Cloud and Green Computing (CGC), 2012 Second IEEE International Conference on, pp.31,38, 1-3 Nov [4] Amazon Elastic Compute Cloud web services, [5] BaoRong Chang, Hsiu-Fen Tsai, Evaluation of Virtual Machine Performance and Virtualized Consolidation Ratio in Cloud Computing System Journal of Information Hiding and Multimedia Signal Processing 2013 ISSN Ubiquitous International vol. 4 page no 3. [6] Chi-won Song; Sungmin Park; Dong-wook Kim; Sooyong Kang, "Parity Cloud Service: A Privacy-Protected Personal Data Recovery Service," Trust, Security and Privacy in Computing and Communications (TrustCom), 2011 IEEE 10th International Conference on, pp.812, 817, Nov [7] FabriceBellard. Qemu, a fast and portable dynamic translator In Proceedings of the annual conference on USENIX Annual Technical Conference, ATEC '05, pages 41, Berkeley, CA, USA, USENIX Association. [8] Gohil, P.; Garg, D.; Panchal, B., "A performance analysis of Map Reduce applications on big data in cloud based Hadoop," Information Communication and Embedded Systems (ICICES), 2014 IEEE International Conference on, pp.1, 6, Feb [9] Gowrigolla, B.; Sivaji, S.; Masillamani, M.R., "Design and auditing of Cloud computing security," Information and Automation for Sustainability (ICIAFs), 2010 IEEE 5th International Conference on, pp.292, 297, Dec [10] Husain, M.; Khan, L.; Kantarcioglu, M.; Thuraisingham, Bhavani, "Data Intensive Query Processing for Large RDF Graphs Using Cloud Computing Tools," Cloud Computing (CLOUD), 2010 IEEE 3rd International Conference on, pp.1,10, 5-10 July [11] Jun Feng; Yu Chen; Wei-Shinn Ku; Pu Liu, "Analysis of Integrity Vulnerabilities and a Non-repudiation Protocol for Cloud Data Storage Platforms," Parallel Processing Workshops (ICPPW), 2010 IEEE 39th International Conference on, pp.251,258, Sept

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