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Issue title: Special Section: Iteration, Dynamics and Nonlinearity
Guest editors: Manuel Fernández-Martínez and Juan L.G. Guirao
Article type: Research Article
Authors: Xu, Jinga; * | Newman, Tb
Affiliations: [a] School of Economic Management, Shaanxi Institute of Technology, Xi’an, China | [b] Aarhus University, CREATES, Aarhus V, Denmark
Correspondence: [*] Corresponding author. Jing Xu, School of Economic Management, Shaanxi Institute of Technology, Xi’an 710302, China. E-mail: [email protected].
Abstract: Current methods lack generality and self-adaptation, resulting in large difference in throughput between networks, high packet loss rate, and long page response time. To solve these problems, an online resource sharing system design method is proposed based on fuzzy control for enterprise networks. A four-layer online resource balanced sharing system is designed, including three parts: management plane, control plane and forwarding plane. The fuzzy control method is adopted to design an online resource balanced sharing system controller for enterprise networks, and an adaptive method is used to adjust the variable parameters of the fuzzy controller and calculate the controlled quantity of system server. Through the obtained controlled quantity, the amount of requests should be distributed to each server is calculated. With these requests as the standard, online resources are modified to achieve the balanced sharing of online resources of enterprise networks. Experimental results show that the proposed method can effectively reduce the packet loss rate, reduce the load difference between networks, and better realize the balanced sharing of resources between networks in the system.
Keywords: Enterprise networks, online resources, balancing, sharing, fuzzy control
DOI: 10.3233/JIFS-169754
Journal: Journal of Intelligent & Fuzzy Systems, vol. 35, no. 4, pp. 4339-4349, 2018
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