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...
| Published in: | Tongxin xuebao |
|---|---|
| Main Authors: | , , |
| Format: | Article |
| Language: | Chinese |
| Published: |
Editorial Department of Journal on Communications
2014-10-01
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| Subjects: | |
| Online Access: | http://www.joconline.com.cn/thesisDetails#10.3969/j.issn.1000-436x.2014.z1.013 |
| _version_ | 1850301911203315712 |
|---|---|
| author | Chao HU Jun PENG Wen-tao YU |
| author_facet | Chao HU Jun PENG Wen-tao YU |
| author_sort | Chao HU |
| collection | DOAJ |
| container_title | Tongxin xuebao |
| 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-948c03497dff400a960b22da8ca92080 |
| institution | Directory of Open Access Journals |
| issn | 1000-436X |
| language | zho |
| publishDate | 2014-10-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| spelling | doaj-art-948c03497dff400a960b22da8ca920802025-08-19T23:30:50ZzhoEditorial 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/thesisDetails#10.3969/j.issn.1000-436x.2014.z1.013medical big data;task scheduling;particle swarm |
| spellingShingle | Chao HU Jun PENG Wen-tao YU PSO based task scheduling for medical big data 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/thesisDetails#10.3969/j.issn.1000-436x.2014.z1.013 |
| work_keys_str_mv | AT chaohu psobasedtaskschedulingformedicalbigdata AT junpeng psobasedtaskschedulingformedicalbigdata AT wentaoyu psobasedtaskschedulingformedicalbigdata |