Cost-effective traffic scheduling for Cloud resource management

Citation

Shareef, Zayd Ashraf Najeeb and Hussin, Masnida and Abdullah, Azizol and Muhammed, Abdullah (2015) Cost-effective traffic scheduling for Cloud resource management. In: 2015 IEEE Student Conference on Research and Development (SCOReD), 13-14 Dec. 2015, Berjaya Times Square Hotel, Kuala Lumpur, Malaysia. (pp. 189-194).

Abstract

Cloud resource management experienced massive strategy development throughout recent years. A traffic scheduling pattern becomes more significant in Cloud for adapting heterogeneous processing demands. We present priority-based traffic scheduling for downlink resource management aims to sustain Quality of Services (QoS) in Cloud which provide Cost-Effective Best Effort service (CEBE). Our traffic scheduling embraces two main functions are priority assignment and resource bandwidth allocation. Specifically, we leverage prioritization for several downlink services, and then dynamically allocate suitable bandwidth for improving accessibility while providing efficient communication cost. Our simulation results illustrate that priority-based traffic scheduling has more substantial performance in terms of throughput and delay than others.

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Additional Metadata

Item Type:	Conference or Workshop Item (Paper)
Divisions:	Faculty of Computer Science and Information Technology
DOI Number:	https://doi.org/10.1109/SCORED.2015.7449300
Publisher:	IEEE
Keywords:	Bandwidth allocation; Cloud computing; Priorities; QoS; Resource management; Traffic scheduling
Depositing User:	Nabilah Mustapa
Date Deposited:	25 Oct 2017 02:29
Last Modified:	25 Oct 2017 02:29
Altmetrics:	http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1109/SCORED.2015.7449300
URI:	http://psasir.upm.edu.my/id/eprint/57676
Statistic Details:	View Download Statistic

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