A Thread Pool Scheduling Optimization Method of Real-time System

Authors

Yi Liu, Information College, Zhongkai University of Agriculture and Engineering, Guangzhou 510225 P. R. ChinaFollow

Author Country (or Countries)

Guangzhou 510225 P. R. China

Abstract

To deal with concurrent requests, thread pool technology is wildly used in multi-task real-time systems whose chief demand is timeout avoidance. In order to reduce requesting timeout ratio, least square support vector machine(LS-SVM) algorithm whose parameters optimization was based on hybrid quantum-behaved particle swarm optimization(HQPSO) was applied to estimate the execution time of requests. Also, a scheduling priority algorithm of thread pool was designed based on the estimation results. In performance test, a node of wireless sensor network is implemented to test the requesting timeout ratio of HQPSO LS-SVM based on thread pool and other ones in different states. Test result indicates that HQPSO LS-SVM based on thread pool has remarkable superiority of timeout avoidance while the thread amount of thread pool is set properly.

Suggested Reviewers

N/A

Recommended Citation

Liu, Yi (2013) "A Thread Pool Scheduling Optimization Method of Real-time System," Applied Mathematics & Information Sciences: Vol. 07: Iss. 2, Article 24.
Available at: https://digitalcommons.aaru.edu.jo/amis/vol07/iss2/24