An Approach for Selection of the Most Desirable Internet Network Based on the Cross-Efficiency Model in Data Envelopment Analysis

Abstract

Choosing an optimized Internet network by the users and providing a desired network by the internet service providers have always been big challenges in this field. Although there are different approaches for selecting the best set of networks such as Analytic Hierarchy Process, Analytic Network Process, and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), choosing a unique optimal solution still remains an open challenge. The purpose of this paper is to use the decision-making techniques of Data Envelopment Analysis in order to evaluate the existing Internet networks so as to select the most desirable networks. Firstly, a specific Internet network called differentiated service network, that provides the quality of service to the user through the mechanism of Call Admission Control, is stimulated. A novel cross-efficiency model is proposed in order to provide a unique ranking of the Internet networks so as to select the optimal network. In particular, secondary goal model based on a satisfaction rate in cross-efficiency is proposed to evaluate and uniquely rank the Internet networks and to select the most desirable network. The present simulated results of 33 networks demonstrate that the proposed model is an effective method for unique ranking of the networks.

Keywords

• call admission control
• cross-efficiency
• data envelopment analysis (dea)
• internet network
• secondary goal