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Reseach Article

Capacity Management for Virtualized Data Centers using ECIES and Scheduling

by Anil Kumar Raghuwanshi, Kavita Burse
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 103 - Number 10
Year of Publication: 2014
Authors: Anil Kumar Raghuwanshi, Kavita Burse
10.5120/18112-9283

Anil Kumar Raghuwanshi, Kavita Burse . Capacity Management for Virtualized Data Centers using ECIES and Scheduling. International Journal of Computer Applications. 103, 10 ( October 2014), 41-45. DOI=10.5120/18112-9283

@article{ 10.5120/18112-9283,
author = { Anil Kumar Raghuwanshi, Kavita Burse },
title = { Capacity Management for Virtualized Data Centers using ECIES and Scheduling },
journal = { International Journal of Computer Applications },
issue_date = { October 2014 },
volume = { 103 },
number = { 10 },
month = { October },
year = { 2014 },
issn = { 0975-8887 },
pages = { 41-45 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume103/number10/18112-9283/ },
doi = { 10.5120/18112-9283 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:34:12.968672+05:30
%A Anil Kumar Raghuwanshi
%A Kavita Burse
%T Capacity Management for Virtualized Data Centers using ECIES and Scheduling
%J International Journal of Computer Applications
%@ 0975-8887
%V 103
%N 10
%P 41-45
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

With the growth Internet development cloud computing is novel technique to serve better and secure services. E-business is growing rapidly with the development of Internet. The cloud computing provides on demand self service methodology that authorizes users to request resources dynamically as a best benefit. The use of Cloud Computing is ahead reputation due to its mobility and massive availability in minimum cost. Here in this paper an efficient Capacity Management of user's data on datacenters is proposed using attribute and scheduling techniques. The proposed technique provides much efficient use of Virtualized data as compared to the existing technique.

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Index Terms

Computer Science
Information Sciences

Keywords

Cloud Computing Public Verifiability Cloud Storage Cloud Security Virtualization.