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Reseach Article

Handling Uncertain Leases in Infrastructure as a Service Clouds

by Manoj Devare, Anita Patil, Haresh Chaudhari
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 73 - Number 1
Year of Publication: 2013
Authors: Manoj Devare, Anita Patil, Haresh Chaudhari
10.5120/12703-9497

Manoj Devare, Anita Patil, Haresh Chaudhari . Handling Uncertain Leases in Infrastructure as a Service Clouds. International Journal of Computer Applications. 73, 1 ( July 2013), 7-11. DOI=10.5120/12703-9497

@article{ 10.5120/12703-9497,
author = { Manoj Devare, Anita Patil, Haresh Chaudhari },
title = { Handling Uncertain Leases in Infrastructure as a Service Clouds },
journal = { International Journal of Computer Applications },
issue_date = { July 2013 },
volume = { 73 },
number = { 1 },
month = { July },
year = { 2013 },
issn = { 0975-8887 },
pages = { 7-11 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume73/number1/12703-9497/ },
doi = { 10.5120/12703-9497 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:38:52.412237+05:30
%A Manoj Devare
%A Anita Patil
%A Haresh Chaudhari
%T Handling Uncertain Leases in Infrastructure as a Service Clouds
%J International Journal of Computer Applications
%@ 0975-8887
%V 73
%N 1
%P 7-11
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The problem domain of lease processing in the infrastructure-as-a-service (IaaS) Cloud with the uncertain requirements of the Consumer on the account of per-defined conditions of owner privileges is under consideration. The uncertain requirements against the owner conditions have been converted into the meaningful (definite) matrix values with help of possibility distributions. The Fuzzy Control Logic (FCL) is used to solve this problem, which will be integrated with Cloud Scheduler. The results of the same are illustrated in this work.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Fuzzy logic Cloud Computing Scheduler Hypervisor