{"title":"工作站集群内的动态负载共享","authors":"P. Williams, R. Togneri","doi":"10.1109/ICAPP.1995.472295","DOIUrl":null,"url":null,"abstract":"Workstation clusters, in which user processes run on one specified machine, cause the potential for a load imbalance. An analysis is conducted to determine how various system resources interact with one another in terms of job throughput and user interaction time. Quantitative and qualitative analyses of theoretical load sharing methods are used in the development of a well engineering system which is configurable, reliable and has a standard interface. Performance evaluation and system testing show very positive results.<<ETX>>","PeriodicalId":448130,"journal":{"name":"Proceedings 1st International Conference on Algorithms and Architectures for Parallel Processing","volume":"460 ","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1995-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Dynamic load sharing within workstation clusters\",\"authors\":\"P. Williams, R. Togneri\",\"doi\":\"10.1109/ICAPP.1995.472295\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Workstation clusters, in which user processes run on one specified machine, cause the potential for a load imbalance. An analysis is conducted to determine how various system resources interact with one another in terms of job throughput and user interaction time. Quantitative and qualitative analyses of theoretical load sharing methods are used in the development of a well engineering system which is configurable, reliable and has a standard interface. Performance evaluation and system testing show very positive results.<<ETX>>\",\"PeriodicalId\":448130,\"journal\":{\"name\":\"Proceedings 1st International Conference on Algorithms and Architectures for Parallel Processing\",\"volume\":\"460 \",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1995-04-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings 1st International Conference on Algorithms and Architectures for Parallel Processing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICAPP.1995.472295\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings 1st International Conference on Algorithms and Architectures for Parallel Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICAPP.1995.472295","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Workstation clusters, in which user processes run on one specified machine, cause the potential for a load imbalance. An analysis is conducted to determine how various system resources interact with one another in terms of job throughput and user interaction time. Quantitative and qualitative analyses of theoretical load sharing methods are used in the development of a well engineering system which is configurable, reliable and has a standard interface. Performance evaluation and system testing show very positive results.<>
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