Title: Joint scheduling control of workflow in information communication network based on hybrid modelling

Authors: Yuehong Liu; Changhong Zhu; Xianhao Shen

Addresses: College of Information Science and Engineering, Guilin University of Technology, Guilin 541004, China ' School of Computer Science and Engineering, Guilin University of Aerospace Technology, Guilin 541004, China ' College of Information Science and Engineering, Guilin University of Technology, Guilin 541004, China

Abstract: In order to overcome the problems of high packet loss rate of workflow scheduling data and high scheduling control data delay in traditional methods, a workflow joint scheduling control method based on hybrid modelling is proposed in this paper. Firstly, the network energy consumption model is constructed to obtain the link transmission rate and calculate the workflow energy consumption of information communication network. Secondly, the workflow task scheduling model is designed according to the calculated energy consumption. Then, calculate the data transmission time of workflow task. Finally, the hybrid modelling is realised by integrating the above three models, and the joint scheduling control of workflow is realised by using binary decision variables. The experimental results show that the data packet loss rate of this method can be reduced by 66.98%, and the scheduling delay is only 18 ms, which shows that this method has good control effect.

Keywords: hybrid modelling; binary decision variables; network energy consumption model; device sleep technology.

DOI: 10.1504/IJIMS.2022.124223

International Journal of Internet Manufacturing and Services, 2022 Vol.8 No.3, pp.231 - 242

Received: 29 Dec 2021
Accepted: 28 Mar 2022
Published online: 18 Jul 2022 *

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