网络气象服务中的多元资源性能预测

ACM/IEEE SC 2002 Conference (SC'02) Pub Date : 2002-11-16 DOI:10.1109/SC.2002.10039

M. Swany, R. Wolski

{"title":"网络气象服务中的多元资源性能预测","authors":"M. Swany, R. Wolski","doi":"10.1109/SC.2002.10039","DOIUrl":null,"url":null,"abstract":"This paper describes a new technique in the Network Weather Service for producing multi-variate forecasts. The new technique uses the NWS’s univariate forecasters and emprically gathered Cumulative Distribution Functions (CDFs) to make predictions from correlated measurement streams. Experimental results are shown in which throughput is predicted for long TCP/IP transfers from short NWS network probes.","PeriodicalId":302800,"journal":{"name":"ACM/IEEE SC 2002 Conference (SC'02)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2002-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"104","resultStr":"{\"title\":\"Multivariate Resource Performance Forecasting in the Network Weather Service\",\"authors\":\"M. Swany, R. Wolski\",\"doi\":\"10.1109/SC.2002.10039\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper describes a new technique in the Network Weather Service for producing multi-variate forecasts. The new technique uses the NWS’s univariate forecasters and emprically gathered Cumulative Distribution Functions (CDFs) to make predictions from correlated measurement streams. Experimental results are shown in which throughput is predicted for long TCP/IP transfers from short NWS network probes.\",\"PeriodicalId\":302800,\"journal\":{\"name\":\"ACM/IEEE SC 2002 Conference (SC'02)\",\"volume\":\"7 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2002-11-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"104\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ACM/IEEE SC 2002 Conference (SC'02)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SC.2002.10039\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACM/IEEE SC 2002 Conference (SC'02)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SC.2002.10039","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 104

摘要

本文介绍了网络气象服务中产生多变量预报的一种新技术。这项新技术利用美国国家气象局的单变量预报系统和经验收集的累积分布函数(CDFs)，从相关的测量流中进行预测。实验结果表明，对来自短NWS网络探针的长TCP/IP传输的吞吐量进行了预测。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文

微信好友朋友圈 QQ好友复制链接

本刊更多论文

Multivariate Resource Performance Forecasting in the Network Weather Service

This paper describes a new technique in the Network Weather Service for producing multi-variate forecasts. The new technique uses the NWS’s univariate forecasters and emprically gathered Cumulative Distribution Functions (CDFs) to make predictions from correlated measurement streams. Experimental results are shown in which throughput is predicted for long TCP/IP transfers from short NWS network probes.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

ACM/IEEE SC 2002 Conference (SC'02)

自引率

0.00%

发文量