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KVM Based Virtualization for Low Cost Computing
Prashant H. Band1, Seema R. Chaudhary2, Radhakrishna Naik3

1Mr. Prashant Band, Department of Computer Science and Engineering, MIT Aurangabad (M.H), India.
2Assoc. Prof. Seema Chaudhary, Department of Computer Science and Engineering, MIT Aurangabad (M.H), India.
3Dr. Radhakrishna Naik, Department of Computer Science and Engineering, MIT Aurangabad (M.H), India.

Manuscript received on 21 July 2013 | Revised Manuscript received on 28 July 2013 | Manuscript published on 30 July 2013 | PP: 96-98 | Volume-2 Issue-3, July 2013 | Retrieval Number: C0726072313/2013©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: In this paper, we propose a Virtual Remote environment to user over a LAN by using open source system and virtualization tools. Today’s Desktop processors offer great computation functionality, fast processing power and memory. The aim is to provide low cost computing using open source technology and various free remote desktop environments. We used free Terminal Server [1], [2] to provide desktop, remote desktop tools and KVM (Kernel-based Virtual Machine) hypervisor [3], [4] to create and run virtual machines. Users can get a personalized OS (Operating System) which is the VM (Virtual Machine) running over a Local server. User gets an independent OS through the various graphical desktop sharing systems, which is platform independent. Complete resource utilization is possible because VMs run on Remote Server. As we are using open source OS and tools, this implementation becomes inexpensive. Some solutions like Oracle VM server for SPARC [5], CtrixXEN Desktop [6], and VM ware View [7], [8] are available but they are costly and proprietary. By using this method we can make use of very low configured system as a client system to access VM’s desktop for best performance.
Keywords: Virtualization, Hypervisor, KVM, and Remote Desktop.

Scope of the Article: Autonomic Computing