Research Article
A Resource Scheduling Algorithm with High Task Request Acceptance Rate for Multi-platform Avionics System
@INPROCEEDINGS{10.1007/978-3-030-41114-5_12, author={Kui Li and Qing Zhou and Guonan Cui and Liang Liu}, title={A Resource Scheduling Algorithm with High Task Request Acceptance Rate for Multi-platform Avionics System}, proceedings={Communications and Networking. 14th EAI International Conference, ChinaCom 2019, Shanghai, China, November 29 -- December 1, 2019, Proceedings, Part I}, proceedings_a={CHINACOM}, year={2020}, month={2}, keywords={Multi-platform Avionics System Resource modeling Resource scheduling}, doi={10.1007/978-3-030-41114-5_12} }- Kui Li
Qing Zhou
Guonan Cui
Liang Liu
Year: 2020
A Resource Scheduling Algorithm with High Task Request Acceptance Rate for Multi-platform Avionics System
CHINACOM
Springer
DOI: 10.1007/978-3-030-41114-5_12
Abstract
At present, Multi-platform Avionics System (MPA) has been widely used. The existing adaptive scheduling algorithm based on Sliding-Scheduled Tenant (SST) simulates and verifies the resource management and task scheduling of MPA, and analyzes the task requirements of MPA. However, due to the shortcomings of SST algorithm in considering energy consumption and other aspects, it reduces the task acceptance rate, and does not consider the limitations of sensors and priorities, which makes al algorithm unable to meet the requirements of avionics system. This paper proposes a method of system resource selection, which considers the energy consumption, sensor and priority limit, so as to improve the acceptance rate of tasks, improve the acceptance rate of high priority, and get a scheduling algorithm with high acceptance rate of tasks. Finally, through the comprehensive analysis of the experimental results and experimental results in different scenes, it is shown that the algorithm proposed in this paper outperforms the existing algorithm in terms of the acceptance rate.
