{"title":"异构系统中的负载重分配","authors":"T. Koutny, J. Safarík","doi":"10.1109/CONIELECOMP.2007.82","DOIUrl":null,"url":null,"abstract":"Today, a number of distributed schedulers exist, but they are centralized or they are too complex and thus require collecting of an important amount of knowledge. In this paper, we present a decentralized method for load distribution, which uses algorithm with modest complexity. In addition, it takes into account the heterogeneity of deployed hardware.","PeriodicalId":288478,"journal":{"name":"Third International Conference on Autonomic and Autonomous Systems (ICAS'07)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Load Redistribution in Heterogeneous Systems\",\"authors\":\"T. Koutny, J. Safarík\",\"doi\":\"10.1109/CONIELECOMP.2007.82\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Today, a number of distributed schedulers exist, but they are centralized or they are too complex and thus require collecting of an important amount of knowledge. In this paper, we present a decentralized method for load distribution, which uses algorithm with modest complexity. In addition, it takes into account the heterogeneity of deployed hardware.\",\"PeriodicalId\":288478,\"journal\":{\"name\":\"Third International Conference on Autonomic and Autonomous Systems (ICAS'07)\",\"volume\":\"5 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-06-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Third International Conference on Autonomic and Autonomous Systems (ICAS'07)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CONIELECOMP.2007.82\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Third International Conference on Autonomic and Autonomous Systems (ICAS'07)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CONIELECOMP.2007.82","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Today, a number of distributed schedulers exist, but they are centralized or they are too complex and thus require collecting of an important amount of knowledge. In this paper, we present a decentralized method for load distribution, which uses algorithm with modest complexity. In addition, it takes into account the heterogeneity of deployed hardware.
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