Dynamic congestion management system for cloud service broker

Tariq Alwada’n, Abdel-Karim Al-Tamimi, Adel Hamdan Mohammad, Maher Salem, Yar Muhammad

Research output: Contribution to journalArticlepeer-review

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.
Original languageEnglish
Pages (from-to)872-883
Number of pages12
JournalInternational Journal of Electrical and Computer Engineering (IJECE)
Volume13
Issue number1
DOIs
Publication statusAccepted/In press - 19 Aug 2022

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