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服务网格资源调度问题是一个新兴的课题,如何构建一个高效的资源调度模块,是提高服务网格性能的关键.采用基于微粒群智能优化算法(PSO算法)的Pareto方法,探索解决资源调度的多目标优化问题,通过实验证明该方法在多目标优化方面具有优越性.
Service Grid Resource Scheduling is an emerging topic, how to build an efficient resource scheduling module is the key to improve the performance of service grid.Pareto method based on Particle Swarm Optimization (PSO) algorithm is proposed to solve the problem of resource scheduling Multi-objective optimization problem is proved by experiments that this method is superior in multi-objective optimization.