{"title":"大型业务网络的最优树形结构","authors":"J. Palmer, I. Mitrani","doi":"10.1109/NGI.2005.1431652","DOIUrl":null,"url":null,"abstract":"We consider the problem of how best to structure and control a distributed computer system containing many processors. The performance trade-offs associated with different tree structures are evaluated approximately by applying appropriate queueing models. It is shown that, for a given set of parameters and job distribution policy, there is an optimal tree structure that minimizes the overall average response time. This is obtained numerically through comparison of average response times. A simple heuristic policy is shown to perform well under certain conditions.","PeriodicalId":435785,"journal":{"name":"Next Generation Internet Networks, 2005","volume":"84 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2005-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Optimal tree structures for large service networks\",\"authors\":\"J. Palmer, I. Mitrani\",\"doi\":\"10.1109/NGI.2005.1431652\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We consider the problem of how best to structure and control a distributed computer system containing many processors. The performance trade-offs associated with different tree structures are evaluated approximately by applying appropriate queueing models. It is shown that, for a given set of parameters and job distribution policy, there is an optimal tree structure that minimizes the overall average response time. This is obtained numerically through comparison of average response times. A simple heuristic policy is shown to perform well under certain conditions.\",\"PeriodicalId\":435785,\"journal\":{\"name\":\"Next Generation Internet Networks, 2005\",\"volume\":\"84 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2005-04-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Next Generation Internet Networks, 2005\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/NGI.2005.1431652\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Next Generation Internet Networks, 2005","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NGI.2005.1431652","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Optimal tree structures for large service networks
We consider the problem of how best to structure and control a distributed computer system containing many processors. The performance trade-offs associated with different tree structures are evaluated approximately by applying appropriate queueing models. It is shown that, for a given set of parameters and job distribution policy, there is an optimal tree structure that minimizes the overall average response time. This is obtained numerically through comparison of average response times. A simple heuristic policy is shown to perform well under certain conditions.