{"title":"Creating services with hard guarantees from cycle-harvesting systems","authors":"Chris M. Kenyon, G. Cheliotis","doi":"10.1109/CCGRID.2003.1199372","DOIUrl":null,"url":null,"abstract":"Cycle-harvesting is a significant part of the Grid computing landscape. However, creating commercial service contracts based on resources made available by cycle-harvesting is a significant challenge: the characteristics of the harvested resources are inherently stochastic; and secondly, in a commercial environment, purchasers can expect providers to optimize against the quality of service (QoS) definitions. The essential point for creating commercially valuable QoS definitions is to guarantee a set of statistical parameters for each contract instance. Here we describe an appropriate QoS definition, Hard Statistical QoS (HSQ), and show how this can be implemented using a hybrid stochastic-deterministic system. We analyze algorithm behavior analytically using a distribution free approach versus the expected proportion of deterministic resources required for an HSQ specification. We conclude that commercial service contracts based on cycle-harvested resources are viable both from a conceptual point of view and quantitatively.","PeriodicalId":433323,"journal":{"name":"CCGrid 2003. 3rd IEEE/ACM International Symposium on Cluster Computing and the Grid, 2003. Proceedings.","volume":"425 4","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2003-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"21","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"CCGrid 2003. 3rd IEEE/ACM International Symposium on Cluster Computing and the Grid, 2003. Proceedings.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCGRID.2003.1199372","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 21
Abstract
Cycle-harvesting is a significant part of the Grid computing landscape. However, creating commercial service contracts based on resources made available by cycle-harvesting is a significant challenge: the characteristics of the harvested resources are inherently stochastic; and secondly, in a commercial environment, purchasers can expect providers to optimize against the quality of service (QoS) definitions. The essential point for creating commercially valuable QoS definitions is to guarantee a set of statistical parameters for each contract instance. Here we describe an appropriate QoS definition, Hard Statistical QoS (HSQ), and show how this can be implemented using a hybrid stochastic-deterministic system. We analyze algorithm behavior analytically using a distribution free approach versus the expected proportion of deterministic resources required for an HSQ specification. We conclude that commercial service contracts based on cycle-harvested resources are viable both from a conceptual point of view and quantitatively.