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Efficient Cloud Computing for Scientific Communities: Design and Implementation

by Seema Verma, Rachana A. Satao
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 118 - Number 23
Year of Publication: 2015
Authors: Seema Verma, Rachana A. Satao
10.5120/20886-3651

Seema Verma, Rachana A. Satao . Efficient Cloud Computing for Scientific Communities: Design and Implementation. International Journal of Computer Applications. 118, 23 ( May 2015), 20-26. DOI=10.5120/20886-3651

@article{ 10.5120/20886-3651,
author = { Seema Verma, Rachana A. Satao },
title = { Efficient Cloud Computing for Scientific Communities: Design and Implementation },
journal = { International Journal of Computer Applications },
issue_date = { May 2015 },
volume = { 118 },
number = { 23 },
month = { May },
year = { 2015 },
issn = { 0975-8887 },
pages = { 20-26 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume118/number23/20886-3651/ },
doi = { 10.5120/20886-3651 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:02:31.333596+05:30
%A Seema Verma
%A Rachana A. Satao
%T Efficient Cloud Computing for Scientific Communities: Design and Implementation
%J International Journal of Computer Applications
%@ 0975-8887
%V 118
%N 23
%P 20-26
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The main purpose of cloud system is to provide the unlimited computing and storage resources. This paper describes that existing DawningCloud is an efficient cloud system for scientific communities. DawningCloud provides efficient resource management and provisioning policy. DawningCloud gave the concepts of Enhanced Scientific Public cloud and also included the concepts of runtime environment of PhoenixCloud. However, this system didn't investigate the effect of different scheduling policy. DawningCloud simply used First Come First Served (FCFS) scheduling Policy and didn't investigate the effect of different scheduling techniques on them. Therefore, we proposed a new cloud system for scientific communities. This proposed science cloud included the concept of DawningCloud and novel Earlier Account Expire Prioritized with Round Robin (EAEP-RR) scheduling technique. This paper describes the design and implementation of proposed Science Cloud. However, this scheduling method provides benefits only to the earlier account expiration user. Remaining users served as a FCFS basis.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Cloud Computing Scientific Community Runtime environment (RTE) Earlier Account Expire Prioritized with Round Robin (EAEP-RR) scheduling

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