Research Article
Article:An Optimal Model for Priority based Service Scheduling Policy for Cloud Computing Environment
|
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
|
| Volume 32 - Issue 9 |
| Published: October 2011 |
| Authors: Dr. M. Dakshayini, Dr. H. S. Guruprasad |
10.5120/3933-5578
|
Dr. M. Dakshayini, Dr. H. S. Guruprasad . Article:An Optimal Model for Priority based Service Scheduling Policy for Cloud Computing Environment. International Journal of Computer Applications. 32, 9 (October 2011), 23-29. DOI=10.5120/3933-5578
@article{ 10.5120/3933-5578,
author = { Dr. M. Dakshayini,Dr. H. S. Guruprasad },
title = { Article:An Optimal Model for Priority based Service Scheduling Policy for Cloud Computing Environment },
journal = { International Journal of Computer Applications },
year = { 2011 },
volume = { 32 },
number = { 9 },
pages = { 23-29 },
doi = { 10.5120/3933-5578 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2011
%A Dr. M. Dakshayini
%A Dr. H. S. Guruprasad
%T Article:An Optimal Model for Priority based Service Scheduling Policy for Cloud Computing Environment%T
%J International Journal of Computer Applications
%V 32
%N 9
%P 23-29
%R 10.5120/3933-5578
%I Foundation of Computer Science (FCS), NY, USA
Abstract
Cloud computing refers to the model, which is the pool of resources. Cloud makes on-demand delivery of these computational resources (data, software and infrastructure) among multiple services via a computer network with different load conditions of the cloud network. User will be charged for the resources used based upon time. Hence efficient utilization of cloud resources has become a major challenge in satisfying the user’s requirement (QoS) and in gaining benefit for both the user and the service provider. In this paper, we propose a priority and admission control based service scheduling policy that aims at serving the user requests satisfying the QoS, optimizing the time the service-request spends in the queue and achieving the high throughput of the cloud by making an efficient provision of cloud resources.
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