仿真网格中交互式任务调度的遗传算法

2010 WASE International Conference on Information Engineering Pub Date : 2010-08-14 DOI:10.1109/ICIE.2010.15

Huang Hai, Tian Lei, Wu Wei, Songlin Sun, Xiaojun Jing

{"title":"仿真网格中交互式任务调度的遗传算法","authors":"Huang Hai, Tian Lei, Wu Wei, Songlin Sun, Xiaojun Jing","doi":"10.1109/ICIE.2010.15","DOIUrl":null,"url":null,"abstract":"Scheduling plays an important role of mapping interactive simulation tasks onto heterogeneous computing nodes in simulation grid. A multi-objective multi-constrained task scheduling model was established considering the consumption of task load, message interaction between tasks, load of computing nodes, and communication delay. And the problem was solved on basis of genetic algorithm. The experimental results show that the proposed method is feasible.","PeriodicalId":353239,"journal":{"name":"2010 WASE International Conference on Information Engineering","volume":"77 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Genetic Algorithm for Scheduling of Interactive Tasks in Simulation Grid\",\"authors\":\"Huang Hai, Tian Lei, Wu Wei, Songlin Sun, Xiaojun Jing\",\"doi\":\"10.1109/ICIE.2010.15\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Scheduling plays an important role of mapping interactive simulation tasks onto heterogeneous computing nodes in simulation grid. A multi-objective multi-constrained task scheduling model was established considering the consumption of task load, message interaction between tasks, load of computing nodes, and communication delay. And the problem was solved on basis of genetic algorithm. The experimental results show that the proposed method is feasible.\",\"PeriodicalId\":353239,\"journal\":{\"name\":\"2010 WASE International Conference on Information Engineering\",\"volume\":\"77 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-08-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 WASE International Conference on Information Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICIE.2010.15\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 WASE International Conference on Information Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIE.2010.15","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 3

摘要

调度在将交互仿真任务映射到仿真网格中的异构计算节点上起着重要作用。考虑任务负载消耗、任务间消息交互、计算节点负载和通信延迟等因素，建立了多目标多约束任务调度模型。并基于遗传算法对该问题进行了求解。实验结果表明，该方法是可行的。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Genetic Algorithm for Scheduling of Interactive Tasks in Simulation Grid

Scheduling plays an important role of mapping interactive simulation tasks onto heterogeneous computing nodes in simulation grid. A multi-objective multi-constrained task scheduling model was established considering the consumption of task load, message interaction between tasks, load of computing nodes, and communication delay. And the problem was solved on basis of genetic algorithm. The experimental results show that the proposed method is feasible.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

2010 WASE International Conference on Information Engineering

自引率

0.00%

发文量