Latency-optimized task scheduling for dispersed computing

Jun Ma; Geming Xia; Chaodong Yu; Jian Chen

doi:10.1117/12.2671520

29 March 2023 Latency-optimized task scheduling for dispersed computing

Jun Ma, Geming Xia, Chaodong Yu, Jian Chen

Proceedings Volume 12594, Second International Conference on Electronic Information Engineering and Computer Communication (EIECC 2022); 1259423 (2023) https://doi.org/10.1117/12.2671520
Event: Second International Conference on Electronic Information Engineering and Computer Communication (EIECC 2022), 2022, Xi'an, China

Abstract

A new task scheduling scheme based on dispersed computing is proposed to address the problem of poor utilization of idle computing resources in the network by the traditional computing paradigm. The scheme designs a dispersed computing task scheduling model to reduce the load pressure on NCPs in a recursive manner by combining the idea of multiple hops. For the characteristics of geographic dispersion and network dynamics in the dispersed computing environment, the time delay is selected as the optimization objective, and the task scheduling decision is made in a distributed manner by combining it with the artificial fish swarm algorithm. At the same time, the scheduling algorithm is designed mainly by setting variable step size and field of view so that the algorithm can guarantee the convergence speed while the solution accuracy is improved. The experiments show that the algorithm meets the high requirements of dispersed computing on time delay and achieves the expected goal of the system.

Citation Download Citation

Jun Ma, Geming Xia, Chaodong Yu, and Jian Chen "Latency-optimized task scheduling for dispersed computing", Proc. SPIE 12594, Second International Conference on Electronic Information Engineering and Computer Communication (EIECC 2022), 1259423 (29 March 2023); https://doi.org/10.1117/12.2671520

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KEYWORDS

Computing systems

Instrument modeling

Performance modeling

Data transmission

Mathematical optimization

Computer simulations

Real-time computing

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