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Reseach Article

Resource Management in the Multi-Tenant Cloud Environment

by Piwal Priya M., Mandre B. R.
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 172 - Number 2
Year of Publication: 2017
Authors: Piwal Priya M., Mandre B. R.
10.5120/ijca2017915064

Piwal Priya M., Mandre B. R. . Resource Management in the Multi-Tenant Cloud Environment. International Journal of Computer Applications. 172, 2 ( Aug 2017), 6-10. DOI=10.5120/ijca2017915064

@article{ 10.5120/ijca2017915064,
author = { Piwal Priya M., Mandre B. R. },
title = { Resource Management in the Multi-Tenant Cloud Environment },
journal = { International Journal of Computer Applications },
issue_date = { Aug 2017 },
volume = { 172 },
number = { 2 },
month = { Aug },
year = { 2017 },
issn = { 0975-8887 },
pages = { 6-10 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume172/number2/28221-2017915064/ },
doi = { 10.5120/ijca2017915064 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:19:14.516323+05:30
%A Piwal Priya M.
%A Mandre B. R.
%T Resource Management in the Multi-Tenant Cloud Environment
%J International Journal of Computer Applications
%@ 0975-8887
%V 172
%N 2
%P 6-10
%D 2017
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The cloud computing is an Internet-based computing emerging as a new architecture which aims to give reliable, customizable and QoS guaranteed dynamic environment for end-users. As multi-tenancy is one of the key features of cloud computing where service providers and users have scalable and economic benefits on same cloud platforms. In cloud computing environment the execution process requires resource management due to the processing capability is high to the resource ratio. The aim of the system is to handle resource management by executing scientific workflows. The locating and assigning of free resources is handled through the Cloud-based Workflow Scheduling Algorithm (CWSA) policy. The simulation results shows that the scheduling algorithm improves the performance of scientific workflows and helps in minimization of workflow completion time, tardiness, execution cost and use of idle resources of cloud using simulator Workflowsim.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Cloud Computing Multi-Tenant Cloud Environment Scientific Workflows Resource management.