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Reseach Article

Recovering Host Overloading in Cloud using Virtual Machines

by N. Suresh Kumar, B. Karthikeyan
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 82 - Number 11
Year of Publication: 2013
Authors: N. Suresh Kumar, B. Karthikeyan
10.5120/14163-2275

N. Suresh Kumar, B. Karthikeyan . Recovering Host Overloading in Cloud using Virtual Machines. International Journal of Computer Applications. 82, 11 ( November 2013), 37-39. DOI=10.5120/14163-2275

@article{ 10.5120/14163-2275,
author = { N. Suresh Kumar, B. Karthikeyan },
title = { Recovering Host Overloading in Cloud using Virtual Machines },
journal = { International Journal of Computer Applications },
issue_date = { November 2013 },
volume = { 82 },
number = { 11 },
month = { November },
year = { 2013 },
issn = { 0975-8887 },
pages = { 37-39 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume82/number11/14163-2275/ },
doi = { 10.5120/14163-2275 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:57:30.549368+05:30
%A N. Suresh Kumar
%A B. Karthikeyan
%T Recovering Host Overloading in Cloud using Virtual Machines
%J International Journal of Computer Applications
%@ 0975-8887
%V 82
%N 11
%P 37-39
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Virtualization provides an efficient solution to the objectives of the cloud computing paradigm by facilitating creation of Virtual Machines (VMs) over the underlying physical servers, leading to improved resource utilization and intellection. Virtualization proposes to create a virtual version of a device or a resource likely to virtualize a server, a storage space, operating system or even network where the mechanism divides the resource into one or more execution environments. To analyze the behavior of a Cloud data center by means of various aspects like availability, utilization, responsiveness and waiting time. The factors that a cloud provider must take into account are elasticity, scalability, live migration of VMs and performance isolation. Live migration of VMs, the process of dynamically transferring a virtual machine across different servers, hasproved to represent a new opportunity to enable responsive and dynamic proved torepresent a new opportunity toenable responsive and dynamic resource management in modern data centers. Migrations of VMs is performed on the basis of overloading that occurs in physical servers in cloud data centers, whichleads to relatively less performance degradation. The SLA violation is also less compared to other techniques and this means the cloud provider will incur less cost from VM migrations. Further, MHOD algorithm performs host selection and VM reallocation quicker than the existing algorithms. Maintenance of physical servers can be efficiently achieved through our algorithm as it leads to efficient consolidation of VMs.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Virtual Machine Cloud Data Centers Markov Host Overload Detection