低重要性过程的基于进度的调节

John R. Douceur, W. Bolosky
{"title":"低重要性过程的基于进度的调节","authors":"John R. Douceur, W. Bolosky","doi":"10.1145/319151.319168","DOIUrl":null,"url":null,"abstract":"MS Manners is a mechanism that employs progress-based regulation to prevent resource contention with low-importance processes from degrading the performance of high-importance processes. The mechanism assumes that resource contention that degrades the performance of a high-importance process will also retard the progress of the low-importance process. MS Manners detects this contention by monitoring the progress of the low-importance process and inferring resource contention from a drop in the progress rate. This technique recognizes contention over any system resource, as long as the performance impact on contending processes is roughly symmetric. MS Manners employs statistical mechanisms to deal with stochastic progress measurements; it automatically calibrates a target progress rate, so no manual tuning is required; it supports multiple progress metrics from applications that perform several distinct tasks; and it orchestrates multiple low-importance processes to prevent measurement interference. Experiments with two low-importance applications show that MS Manners can reduce the degradation of high-importance processes by up to an order of magnitude.","PeriodicalId":200853,"journal":{"name":"Proceedings of the seventeenth ACM symposium on Operating systems principles","volume":"546 ","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1999-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"70","resultStr":"{\"title\":\"Progress-based regulation of low-importance processes\",\"authors\":\"John R. Douceur, W. Bolosky\",\"doi\":\"10.1145/319151.319168\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"MS Manners is a mechanism that employs progress-based regulation to prevent resource contention with low-importance processes from degrading the performance of high-importance processes. The mechanism assumes that resource contention that degrades the performance of a high-importance process will also retard the progress of the low-importance process. MS Manners detects this contention by monitoring the progress of the low-importance process and inferring resource contention from a drop in the progress rate. This technique recognizes contention over any system resource, as long as the performance impact on contending processes is roughly symmetric. MS Manners employs statistical mechanisms to deal with stochastic progress measurements; it automatically calibrates a target progress rate, so no manual tuning is required; it supports multiple progress metrics from applications that perform several distinct tasks; and it orchestrates multiple low-importance processes to prevent measurement interference. Experiments with two low-importance applications show that MS Manners can reduce the degradation of high-importance processes by up to an order of magnitude.\",\"PeriodicalId\":200853,\"journal\":{\"name\":\"Proceedings of the seventeenth ACM symposium on Operating systems principles\",\"volume\":\"546 \",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1999-12-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"70\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the seventeenth ACM symposium on Operating systems principles\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/319151.319168\",\"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 of the seventeenth ACM symposium on Operating systems principles","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/319151.319168","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 70

摘要

MS Manners是一种机制,它采用基于进程的规则来防止低重要性进程的资源争用,从而降低高重要性进程的性能。该机制假设资源争用会降低高重要性进程的性能,也会阻碍低重要性进程的进程。MS Manners通过监控低重要性进程的进程并从进程速率的下降推断资源争用来检测这种争用。只要对竞争进程的性能影响大致对称,该技术就可以识别对任何系统资源的争用。MS Manners采用统计机制处理随机进度测量;它自动校准目标进度率,因此不需要手动调整;它支持来自执行多个不同任务的应用程序的多个进度指标;它协调多个低重要性的过程,以防止测量干扰。两个低重要性应用的实验表明,MS Manners可以将高重要性过程的退化程度降低一个数量级。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Progress-based regulation of low-importance processes
MS Manners is a mechanism that employs progress-based regulation to prevent resource contention with low-importance processes from degrading the performance of high-importance processes. The mechanism assumes that resource contention that degrades the performance of a high-importance process will also retard the progress of the low-importance process. MS Manners detects this contention by monitoring the progress of the low-importance process and inferring resource contention from a drop in the progress rate. This technique recognizes contention over any system resource, as long as the performance impact on contending processes is roughly symmetric. MS Manners employs statistical mechanisms to deal with stochastic progress measurements; it automatically calibrates a target progress rate, so no manual tuning is required; it supports multiple progress metrics from applications that perform several distinct tasks; and it orchestrates multiple low-importance processes to prevent measurement interference. Experiments with two low-importance applications show that MS Manners can reduce the degradation of high-importance processes by up to an order of magnitude.
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