Title: Research on equilibrium scheduling of airborne network resource based on load Gini coefficient

Authors: Jin Guo; Shengbing Zhang

Addresses: Department of Computer Science and Engineering, Northwestern Polytechnical University, Xi'an, 710072, China ' Department of Computer Science and Engineering, Northwestern Polytechnical University, Xi'an, 710072, China

Abstract: Aiming at the problems of long running time and serious data loss in traditional equilibrium scheduling method for airborne network resource, a new equilibrium scheduling method for airborne network resource based on load Gini coefficient is proposed. According to the related principle of Gini coefficient of income distribution in the field of economics, the Gini coefficient of network load distribution is monitored. Through genetic algorithm, an optimal allocation scheme which can satisfy the load change constraints and effectively avoid dynamic migration is found. The experimental results show that the data loss rate of this method is between 0 and 2, and the average running time is 6 milliseconds and 12.5 milliseconds shorter than that of the other two methods, which can effectively reduce the data loss rate and running time of the system, and improve the overall efficiency of the system.

Keywords: load Gini coefficient; airborne network resources; equilibrium scheduling.

DOI: 10.1504/IJICT.2020.105611

International Journal of Information and Communication Technology, 2020 Vol.16 No.2, pp.162 - 175

Received: 10 Jan 2019
Accepted: 11 Mar 2019
Published online: 06 Mar 2020 *

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