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Fairly Scheduled Bandwidth for the Data Centre Traffic

by Manjur Kolhar, Abdalla Alameen
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 166 - Number 5
Year of Publication: 2017
Authors: Manjur Kolhar, Abdalla Alameen
10.5120/ijca2017914102

Manjur Kolhar, Abdalla Alameen . Fairly Scheduled Bandwidth for the Data Centre Traffic. International Journal of Computer Applications. 166, 5 ( May 2017), 38-43. DOI=10.5120/ijca2017914102

@article{ 10.5120/ijca2017914102,
author = { Manjur Kolhar, Abdalla Alameen },
title = { Fairly Scheduled Bandwidth for the Data Centre Traffic },
journal = { International Journal of Computer Applications },
issue_date = { May 2017 },
volume = { 166 },
number = { 5 },
month = { May },
year = { 2017 },
issn = { 0975-8887 },
pages = { 38-43 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume166/number5/27668-2017914102/ },
doi = { 10.5120/ijca2017914102 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:12:55.520702+05:30
%A Manjur Kolhar
%A Abdalla Alameen
%T Fairly Scheduled Bandwidth for the Data Centre Traffic
%J International Journal of Computer Applications
%@ 0975-8887
%V 166
%N 5
%P 38-43
%D 2017
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Maintaining the bandwidth across a data center to meet the service level agreement is a major challenge for network administrators. If the bandwidth is not scheduled according to application requirements, the applications will be executed with increased or decreased provisioning or moved to other data centers. Hence, we developed a bandwidth scheduling algorithm that operates according to application requirements and partitions the available bandwidth to accommodate the available traffic. We simulated this algorithm with the SimPy tool and found that the proposed algorithm performs better than the general allocation and partition schemes.

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Index Terms

Computer Science
Information Sciences

Keywords

Data center cloud computing bandwidth reservation resource sharing.

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