Title: Simulation on dynamic load balancing of distributed parallel computing network system

Authors: Huawei Wu; Chuan Sun; Yicheng Li; Yong Kuang

Addresses: Hubei Key Laboratory of Power System Design and Test for Electrical Vehicle, Hubei University of Arts and Science, Hubei, China; School of Automotive and Traffic Engineering, Hubei University of Arts and Science, Xiangyang 441053, Hubei, China ' School of Mechanical, Electronic and Automotive Engineering, Huanggang Normal University, Huanggang 438000, Hubei, China; The State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, Hubei, China ' Automotive Engineering Research Institute, Jiangsu University, Zhenjiang 212013, Jiangsu, China ' Dongfeng Xiangyang Touring Car Co., Ltd., Hubei, Xiangyang, China

Abstract: In order to improve the dynamic load balancing scheduling capability of distributed parallel computing network system and the throughput performance of network, a dynamic load balancing scheduling algorithm of distributed parallel computing network system is proposed. In this algorithm, a channel transmission model for task scheduling of distributed parallel computing network is constructed. The adaptive link equalisation method is adopted to perform balanced design of distributed parallel computing network transmission channel. The fractional interval interpolation method is adopted to construct the priority list decision function for dynamic load scheduling in balanced transmission channel. Based on the decision function, the balancing scheduling threshold of dynamic load of distributed computing network is determined to reach dynamic load balancing scheduling effect. The experimental results show that the method has strong anti-interference performance and the maximum amplitude of equilibrium state is 0.2. The data transmission throughput performance of distributed parallel computing network is improved.

Keywords: distributed parallel computing network; load; channel; transmission link; balancing scheduling.

DOI: 10.1504/IJIPT.2021.117411

International Journal of Internet Protocol Technology, 2021 Vol.14 No.3, pp.139 - 146

Received: 08 Nov 2018
Accepted: 26 Oct 2019
Published online: 06 Sep 2021 *

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