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IAR: Improved Advance Reservation in IaaS Clouds

by Vivek Shrivastava, Payal Gupta, D. S. Bhilare
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 152 - Number 2
Year of Publication: 2016
Authors: Vivek Shrivastava, Payal Gupta, D. S. Bhilare
10.5120/ijca2016911767

Vivek Shrivastava, Payal Gupta, D. S. Bhilare . IAR: Improved Advance Reservation in IaaS Clouds. International Journal of Computer Applications. 152, 2 ( Oct 2016), 4-9. DOI=10.5120/ijca2016911767

@article{ 10.5120/ijca2016911767,
author = { Vivek Shrivastava, Payal Gupta, D. S. Bhilare },
title = { IAR: Improved Advance Reservation in IaaS Clouds },
journal = { International Journal of Computer Applications },
issue_date = { Oct 2016 },
volume = { 152 },
number = { 2 },
month = { Oct },
year = { 2016 },
issn = { 0975-8887 },
pages = { 4-9 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume152/number2/26289-2016911767/ },
doi = { 10.5120/ijca2016911767 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:57:02.734143+05:30
%A Vivek Shrivastava
%A Payal Gupta
%A D. S. Bhilare
%T IAR: Improved Advance Reservation in IaaS Clouds
%J International Journal of Computer Applications
%@ 0975-8887
%V 152
%N 2
%P 4-9
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Cloud data centers have a large number of resources. Management of such huge amount of resources for a large number of consumers requires fail-safe algorithms and leasing policies. Advance Reservation (AR) leasing policy is a rigid policy, which needs resource and consumer locking at a very early point of time, while advanced reserved lease can be rejected at actual point of time when resources are required. This problem can be dealt with proposed Improved Advance Reservation (IAR) algorithm and leasing policy , which uses negotiation and provide half capacity of the requested number of resources, instead of rejecting a lease if consumer agrees for the same. Experimental results show that the proposed work maximize resource utilization and acceptance of requests in comparison with existing algorithms in Haizea.

References
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Index Terms

Computer Science
Information Sciences

Keywords

IAR Leasing Policies Resource Management IaaS Cloud

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