{"title":"用生成树来平衡多处理器的动态负载","authors":"R. Melhem, K. Pruhs, T. Znati","doi":"10.1109/DMCC.1991.633134","DOIUrl":null,"url":null,"abstract":"We consider the problem of load balancing to minimize the cost of dynamic computations, including the cost of migrations. We analyze the costs associated with diffusion based algorithms for several common architectures. We introduce the Ripple load balancing paradigm, which has several advantages over diffusion methods, including flexibility and faster convergence.","PeriodicalId":313314,"journal":{"name":"The Sixth Distributed Memory Computing Conference, 1991. Proceedings","volume":"54 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1991-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Using Spanning-Trees for Balancing Dynamic Load on Multiprocessors\",\"authors\":\"R. Melhem, K. Pruhs, T. Znati\",\"doi\":\"10.1109/DMCC.1991.633134\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We consider the problem of load balancing to minimize the cost of dynamic computations, including the cost of migrations. We analyze the costs associated with diffusion based algorithms for several common architectures. We introduce the Ripple load balancing paradigm, which has several advantages over diffusion methods, including flexibility and faster convergence.\",\"PeriodicalId\":313314,\"journal\":{\"name\":\"The Sixth Distributed Memory Computing Conference, 1991. Proceedings\",\"volume\":\"54 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1991-04-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"The Sixth Distributed Memory Computing Conference, 1991. Proceedings\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/DMCC.1991.633134\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"The Sixth Distributed Memory Computing Conference, 1991. Proceedings","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DMCC.1991.633134","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Using Spanning-Trees for Balancing Dynamic Load on Multiprocessors
We consider the problem of load balancing to minimize the cost of dynamic computations, including the cost of migrations. We analyze the costs associated with diffusion based algorithms for several common architectures. We introduce the Ripple load balancing paradigm, which has several advantages over diffusion methods, including flexibility and faster convergence.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
