{"title":"Forecasting network performance to support dynamic scheduling using the network weather service","authors":"R. Wolski","doi":"10.1109/HPDC.1997.626437","DOIUrl":null,"url":null,"abstract":"The Network Weather Service is a generalizable and extensible facility designed to provide dynamic resource performance forecasts in metacomputing environments. In this paper, we outline its design and detail the predictive performance of the forecasts it generates. While the forecasting methods are general, we focus on their ability to predict the TCP/IP end-to-end throughput and latency that is attainable by an application using systems located at different sites. Such network forecasts are needed both to support scheduling, and by the metacomputing software infrastructure to develop quality-of-service guarantees.","PeriodicalId":243171,"journal":{"name":"Proceedings. The Sixth IEEE International Symposium on High Performance Distributed Computing (Cat. No.97TB100183)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1997-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"309","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings. The Sixth IEEE International Symposium on High Performance Distributed Computing (Cat. No.97TB100183)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/HPDC.1997.626437","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 309
Abstract
The Network Weather Service is a generalizable and extensible facility designed to provide dynamic resource performance forecasts in metacomputing environments. In this paper, we outline its design and detail the predictive performance of the forecasts it generates. While the forecasting methods are general, we focus on their ability to predict the TCP/IP end-to-end throughput and latency that is attainable by an application using systems located at different sites. Such network forecasts are needed both to support scheduling, and by the metacomputing software infrastructure to develop quality-of-service guarantees.
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