网络气象服务中的多元资源性能预测

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。
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
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信