PSO based task scheduling for medical big data

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...

Full description

Saved in:
Bibliographic Details
Main Authors: Chao HU, Jun PENG, Wen-tao YU
Format: Article
Language:zho
Published: Editorial Department of Journal on Communications 2014-10-01
Series:Tongxin xuebao
Subjects:
Online Access:http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2014.z1.013/
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1841539667387744256
author Chao HU
Jun PENG
Wen-tao YU
author_facet Chao HU
Jun PENG
Wen-tao YU
author_sort Chao HU
collection DOAJ
description 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 algorithm.
format Article
id doaj-art-8b45af40b1c34cdc99df4e3d7116573f
institution Kabale University
issn 1000-436X
language zho
publishDate 2014-10-01
publisher Editorial Department of Journal on Communications
record_format Article
series Tongxin xuebao
spelling doaj-art-8b45af40b1c34cdc99df4e3d7116573f2025-01-14T06:44:50ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2014-10-0135657159688173PSO based task scheduling for medical big dataChao HUJun PENGWen-tao YUHow 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 algorithm.http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2014.z1.013/medical big datatask schedulingparticle swarm
spellingShingle Chao HU
Jun PENG
Wen-tao YU
PSO based task scheduling for medical big data
Tongxin xuebao
medical big data
task scheduling
particle swarm
title PSO based task scheduling for medical big data
title_full PSO based task scheduling for medical big data
title_fullStr PSO based task scheduling for medical big data
title_full_unstemmed PSO based task scheduling for medical big data
title_short PSO based task scheduling for medical big data
title_sort pso based task scheduling for medical big data
topic medical big data
task scheduling
particle swarm
url http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2014.z1.013/
work_keys_str_mv AT chaohu psobasedtaskschedulingformedicalbigdata
AT junpeng psobasedtaskschedulingformedicalbigdata
AT wentaoyu psobasedtaskschedulingformedicalbigdata