通信学报Issue(z1)：65-71,7.DOI:10.3969/j.issn.1000-436x.2014.z1.013
基于PSO算法的医疗大数据任务调度策略
PSO based task scheduling for medical big data
摘要
Abstract
How to select a suitable task scheduling strategy to accomplish the task of medical data query in scheduling and allocation inside each hospital is a important problem demanded to be dealt with in medical big data processing. In order to content the optimal medical data corresponding time and optimal cost considered in task scheduling, a improved particle swarm algorithm was proposed. The algorithm constructs the dual fitness function of optimal time and optimal cost to adjusted the inertia weight of the update of particle velocity adaptively, fasten the speed of optimal particle searching, and find out the most reasonable task scheduling scheme of data query, maximize the efficiency of medical data query in medical information sharing platform. Experiment results demonstrate the effectiveness of the proposed al-gorithm.关键词
医疗大数据/任务调度/粒子群Key words
medical big data/task scheduling/particle swarm分类
信息技术与安全科学引用本文复制引用
胡超,彭军,于文涛..基于PSO算法的医疗大数据任务调度策略[J].通信学报,2014,(z1):65-71,7.基金项目
国家自然科学基金资助项目（61379111）；湖南省科技计划基金资助项目（2013FJ4066）Foundation Items:the National Natural Science Foundation of China (61379111) （61379111）
Hunan Provincial Science and Technology Pro-gram of China(2013FJ4066) （2013FJ4066）
