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Dynamic congestion management system for cloud service broker

International Journal of Electrical and Computer Engineering (IJECE) · Vol. 13 No. 1 (2023)

DOI
10.11591/ijece.v13i1.pp872-883
ISSN
2722-2578, 2088-8708
Published
2023-02-01
Publisher
Institute of Advanced Engineering and Science
License
creativecommons.org/licenses/by-sa/4.0

Abstract

The cloud computing model offers a shared pool of resources and services with diverse models presented to the clients through the internet by an on-demand scalable and dynamic pay-per-use model. The developers have identified the need for an automated system (cloud service broker (CSB)) that can contribute to exploiting the cloud capability, enhancing its functionality, and improving its performance. This research presents a dynamic congestion management (DCM) system which can manage the massive amount of cloud requests while considering the required quality for the clients’ requirements as regulated by the service-level policy. In addition, this research introduces a forwarding policy that can be utilized to choose high-priority calls coming from the cloud service requesters and passes them by the broker to the suitable cloud resources. The policy has made use of one of the mechanisms that are used by Cisco to assist the administration of the congestion that might take place at the broker side. Furthermore, the DCM system is used to help in provisioning and monitoring the works of the cloud providers through the job operation. The proposed DCM system was implemented and evaluated by using the CloudSim tool.

Collaboration network of the authors

12 authors · 28 co-authorship links · 20 across different organisations

Hover or tap a name to highlight its co-authors. Double-click to open the author's page.

  • World Islamic Sciences and Education University
  • Teesside University
  • Higher Colleges of Technology
  • King's College London
  • Yarmouk University
  • American University in the Emirates
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Kefaya S. QaddoumHigher Colleges of Technology1
Asseel QasaimehYarmouk University1
Adel HamdanWorld Islamic Sciences and Education University1
Muhannad TahboushWorld Islamic Sciences and Education University1
Mohammad Ibrahim AdawyWorld Islamic Sciences and Education University1
Sameh GhwanmehAmerican University in the Emirates1
Moath HusniWorld Islamic Sciences and Education University1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

This record comes from Crossref (what the publisher deposited), because the journal's own OAI-PMH endpoint could not be harvested.

Metadata source: Crossref API (cadangan, berdasarkan ISSN) https://api.crossref.org/journals/2088-8708/works, first harvested 27 Okt 2026, last seen 27 Okt 2026.
Metadata as oai_dc, converted from Crossref
<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/"><dc:title>Dynamic congestion management system for cloud service broker</dc:title><dc:creator>Alwada’n, Tariq</dc:creator><dc:creator>Al-Tamimi, Abdel-Karim</dc:creator><dc:creator>Mohammad, Adel Hamdan</dc:creator><dc:creator>Salem, Maher</dc:creator><dc:creator>Muhammad, Yar</dc:creator><dc:description>&lt;jats:p&gt;&amp;lt;span lang="EN-US"&amp;gt;The cloud computing model offers a shared pool of resources and services with diverse models presented to the clients through the internet by an on-demand scalable and dynamic pay-per-use model. The developers have identified the need for an automated system (cloud service broker (CSB)) that can contribute to exploiting the cloud capability, enhancing its functionality, and improving its performance. This research presents a dynamic congestion management (DCM) system which can manage the massive amount of cloud requests while considering the required quality for the clients’ requirements as regulated by the service-level policy. In addition, this research introduces a forwarding policy that can be utilized to choose high-priority calls coming from the cloud service requesters and passes them by the broker to the suitable cloud resources. The policy has made use of one of the mechanisms that are used by Cisco to assist the administration of the congestion that might take place at the broker side. Furthermore, the DCM system is used to help in provisioning and monitoring the works of the cloud providers through the job operation. The proposed DCM system was implemented and evaluated by using the CloudSim tool.&amp;lt;/span&amp;gt;&lt;/jats:p&gt;</dc:description><dc:publisher>Institute of Advanced Engineering and Science</dc:publisher><dc:date>2023-02-01</dc:date><dc:type>info:eu-repo/semantics/article</dc:type><dc:format>application/pdf</dc:format><dc:identifier>https://doi.org/10.11591/ijece.v13i1.pp872-883</dc:identifier><dc:identifier>10.11591/ijece.v13i1.pp872-883</dc:identifier><dc:source>International Journal of Electrical and Computer Engineering (IJECE); Vol 13 No 1 (2023); 872</dc:source><dc:source>2722-2578</dc:source><dc:source>2088-8708</dc:source><dc:relation>https://ijece.iaescore.com/index.php/IJECE/article/viewFile/27587/16251</dc:relation><dc:rights>http://creativecommons.org/licenses/by-sa/4.0</dc:rights></oai_dc:dc>