基于SDN和NFV的云级应用性能监控

Guyue Liu, Michael Trotter, Yuxin Ren, Timothy Wood
{"title":"基于SDN和NFV的云级应用性能监控","authors":"Guyue Liu, Michael Trotter, Yuxin Ren, Timothy Wood","doi":"10.1145/2988336.2988344","DOIUrl":null,"url":null,"abstract":"In cloud data centers, more and more services are deployed across multiple tiers to increase flexibility and scalability. However, this makes it difficult for the cloud provider to identify which tier of the application is the bottleneck and how to resolve performance problems. Existing solutions approach this problem by constantly monitoring either in end-hosts or physical switches. Host based monitoring usually needs instrumentation of application code, making it less practical, while network hardware based monitoring is expensive and requires special features in each physical switch. Instead, we believe network wide monitoring should be flexible and easy to deploy in a non-intrusive way by exploiting recent advances in software-based network services. Towards this end we are developing a distributed software-based network monitoring framework for cloud data centers. Our system leverages knowledge of topology and routing information to build relationships between each tier of the application, and detect and locate performance bottlenecks by monitoring the network inside software switches.","PeriodicalId":395715,"journal":{"name":"2015 IEEE International Conference on Cloud Engineering","volume":"2012 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"45","resultStr":"{\"title\":\"Cloud-Scale Application Performance Monitoring with SDN and NFV\",\"authors\":\"Guyue Liu, Michael Trotter, Yuxin Ren, Timothy Wood\",\"doi\":\"10.1145/2988336.2988344\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In cloud data centers, more and more services are deployed across multiple tiers to increase flexibility and scalability. However, this makes it difficult for the cloud provider to identify which tier of the application is the bottleneck and how to resolve performance problems. Existing solutions approach this problem by constantly monitoring either in end-hosts or physical switches. Host based monitoring usually needs instrumentation of application code, making it less practical, while network hardware based monitoring is expensive and requires special features in each physical switch. Instead, we believe network wide monitoring should be flexible and easy to deploy in a non-intrusive way by exploiting recent advances in software-based network services. Towards this end we are developing a distributed software-based network monitoring framework for cloud data centers. Our system leverages knowledge of topology and routing information to build relationships between each tier of the application, and detect and locate performance bottlenecks by monitoring the network inside software switches.\",\"PeriodicalId\":395715,\"journal\":{\"name\":\"2015 IEEE International Conference on Cloud Engineering\",\"volume\":\"2012 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-03-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"45\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 IEEE International Conference on Cloud Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/2988336.2988344\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE International Conference on Cloud Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2988336.2988344","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 45

摘要

在云数据中心中,越来越多的服务跨多层部署,以提高灵活性和可伸缩性。然而,这使得云提供商很难确定应用程序的哪一层是瓶颈,以及如何解决性能问题。现有的解决方案通过持续监控终端主机或物理交换机来解决这个问题。基于主机的监控通常需要应用程序代码的检测,使其不太实用,而基于网络硬件的监控价格昂贵,并且需要每个物理交换机具有特殊功能。相反,我们认为,通过利用基于软件的网络服务的最新进展,网络范围内的监控应该是灵活的,并且可以以一种非侵入性的方式轻松部署。为此,我们正在为云数据中心开发一个基于分布式软件的网络监控框架。我们的系统利用拓扑和路由信息知识来构建应用程序各层之间的关系,并通过监视软件交换机内部的网络来检测和定位性能瓶颈。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Cloud-Scale Application Performance Monitoring with SDN and NFV
In cloud data centers, more and more services are deployed across multiple tiers to increase flexibility and scalability. However, this makes it difficult for the cloud provider to identify which tier of the application is the bottleneck and how to resolve performance problems. Existing solutions approach this problem by constantly monitoring either in end-hosts or physical switches. Host based monitoring usually needs instrumentation of application code, making it less practical, while network hardware based monitoring is expensive and requires special features in each physical switch. Instead, we believe network wide monitoring should be flexible and easy to deploy in a non-intrusive way by exploiting recent advances in software-based network services. Towards this end we are developing a distributed software-based network monitoring framework for cloud data centers. Our system leverages knowledge of topology and routing information to build relationships between each tier of the application, and detect and locate performance bottlenecks by monitoring the network inside software switches.
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