An intelligent Quality of Service brokering model for e-commerce

Aderounmu, G. A.; Soriyan, H. A.; Ajayi, Anuoluwapo; Aderounmu, Adesola; Soriyan, Abimbola; Amos, David

Abstract

A fuzzy logic based Quality of Service (QoS) brokering model for e-commerce to manage system and network resources is presented in this study. This model takes into consideration limited bandwidth between clients and their Internet Service Providers; and similarly the client's system capabilities. The QoS brokering system was modelled, developed, and simulated using Matlab 7.0. Its performance was evaluated using two QoS performance metrics namely the response time and the throughput. The proposed QoS brokering model is simple to implement as well as robust due to the nature of fuzzy controller. Simulation results of the proposed QoS brokering system demonstrate the effectiveness of the model in managing resources optimally and also improving the user-perceived QoS of e-commerce application. © 2009.

Citation

Soriyan, H. A., Aderounmu, G. A., Ajayi, A., Aderounmu, A., Soriyan, A., & Amos, D. (2010). An intelligent Quality of Service brokering model for e-commerce. Expert Systems with Applications, 37(1), 816-823. https://doi.org/10.1016/j.eswa.2009.05.103

• Journal Article Type: Article
• Acceptance Date: Sep 1, 2009
• Online Publication Date: Jun 21, 2009
• Publication Date: Jan 1, 2010
• Journal: Expert Systems with Applications
• Print ISSN: 0957-4174
• Publisher: Elsevier
• Peer Reviewed: Peer Reviewed
• Volume: 37
• Issue: 1
• Pages: 816-823
• DOI: https://doi.org/10.1016/j.eswa.2009.05.103
• Keywords: user-perceived response time, fuzzy logic, system resources, network traffic, throughput, bandwidth
• Public URL: https://uwe-repository.worktribe.com/output/981888
• Publisher URL: https://doi.org/10.1016/j.eswa.2009.05.103