LEISURE:负载均衡的全网流量测量框架

Chia-Wei Chang, Guanyao Huang, Bill Lin, C. Chuah
{"title":"LEISURE:负载均衡的全网流量测量框架","authors":"Chia-Wei Chang, Guanyao Huang, Bill Lin, C. Chuah","doi":"10.1109/ANCS.2011.47","DOIUrl":null,"url":null,"abstract":"Network-wide traffic measurement is of interest to network operators to uncover global network behavior for the management tasks of traffic accounting, debugging or troubleshooting, security, and traffic engineering. Increasingly, sophisticated network measurement tasks such as anomaly detection and security forensic analysis are requiring in-depth fine-grained flow-level measurements. However, performing in-depth per-flow measurements (e.g., detailed payload analysis) is often an expensive process. Given the fast-changing Internet traffic landscape and large traffic volume, a single monitor is not capable of accomplishing the measurement tasks for all applications of interest due to its resource constraint. Moreover, uncovering global network behavior requires network-wide traffic measurements at multiple monitors across the network since traffic measured at any single monitor only provides a partial view and may not be sufficient or accurate. These factors call for coordinated measurements among multiple distributed monitors. In this paper, we present a centralized optimization framework, LEISURE (Load-EqualIzed measurement), for load-balancing network measurement workloads across distributed monitors. Specifically, we consider various load-balancing problems under different objectives and study their extensions to support different deployment scenarios. We evaluate LEISURE via detailed simulations on Abilene and GEANT network traces to show that LEISURE can achieve much better load-balanced performance (e.g., 4.75X smaller peak workload and 70X smaller variance in workloads) across all coordinated monitors in comparison to naive solution (uniform assignment) to accomplish network-wide traffic measurement tasks.","PeriodicalId":124429,"journal":{"name":"2011 ACM/IEEE Seventh Symposium on Architectures for Networking and Communications Systems","volume":"22 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":"{\"title\":\"LEISURE: A Framework for Load-Balanced Network-Wide Traffic Measurement\",\"authors\":\"Chia-Wei Chang, Guanyao Huang, Bill Lin, C. Chuah\",\"doi\":\"10.1109/ANCS.2011.47\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Network-wide traffic measurement is of interest to network operators to uncover global network behavior for the management tasks of traffic accounting, debugging or troubleshooting, security, and traffic engineering. Increasingly, sophisticated network measurement tasks such as anomaly detection and security forensic analysis are requiring in-depth fine-grained flow-level measurements. However, performing in-depth per-flow measurements (e.g., detailed payload analysis) is often an expensive process. Given the fast-changing Internet traffic landscape and large traffic volume, a single monitor is not capable of accomplishing the measurement tasks for all applications of interest due to its resource constraint. Moreover, uncovering global network behavior requires network-wide traffic measurements at multiple monitors across the network since traffic measured at any single monitor only provides a partial view and may not be sufficient or accurate. These factors call for coordinated measurements among multiple distributed monitors. In this paper, we present a centralized optimization framework, LEISURE (Load-EqualIzed measurement), for load-balancing network measurement workloads across distributed monitors. Specifically, we consider various load-balancing problems under different objectives and study their extensions to support different deployment scenarios. We evaluate LEISURE via detailed simulations on Abilene and GEANT network traces to show that LEISURE can achieve much better load-balanced performance (e.g., 4.75X smaller peak workload and 70X smaller variance in workloads) across all coordinated monitors in comparison to naive solution (uniform assignment) to accomplish network-wide traffic measurement tasks.\",\"PeriodicalId\":124429,\"journal\":{\"name\":\"2011 ACM/IEEE Seventh Symposium on Architectures for Networking and Communications Systems\",\"volume\":\"22 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-10-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"12\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 ACM/IEEE Seventh Symposium on Architectures for Networking and Communications Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ANCS.2011.47\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 ACM/IEEE Seventh Symposium on Architectures for Networking and Communications Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ANCS.2011.47","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 12

摘要

网络范围内的流量测量对网络运营商来说是很有意义的,它可以揭示全局网络行为,用于流量核算、调试或故障排除、安全和流量工程等管理任务。越来越多复杂的网络测量任务,如异常检测和安全取证分析,需要深入的细粒度流级测量。然而,执行深入的每流测量(例如,详细的有效载荷分析)通常是一个昂贵的过程。面对快速变化的互联网流量格局和庞大的流量,由于资源的限制,单个监视器无法完成所有感兴趣的应用的测量任务。此外,发现全局网络行为需要在网络上的多个监视器上进行全网范围的流量测量,因为在任何单个监视器上测量的流量只能提供部分视图,可能不够充分或不准确。这些因素需要在多个分布式监视器之间进行协调测量。在本文中,我们提出了一个集中式优化框架,LEISURE(负载均衡测量),用于跨分布式监视器的负载平衡网络测量工作负载。具体来说,我们考虑了不同目标下的各种负载平衡问题,并研究了它们的扩展以支持不同的部署场景。我们通过对Abilene和GEANT网络轨迹的详细模拟来评估LEISURE,表明与幼稚的解决方案(统一分配)相比,在所有协调监视器上,LEISURE可以实现更好的负载平衡性能(例如,4.75倍的峰值工作负载和70倍的工作负载方差),以完成网络范围的流量测量任务。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
LEISURE: A Framework for Load-Balanced Network-Wide Traffic Measurement
Network-wide traffic measurement is of interest to network operators to uncover global network behavior for the management tasks of traffic accounting, debugging or troubleshooting, security, and traffic engineering. Increasingly, sophisticated network measurement tasks such as anomaly detection and security forensic analysis are requiring in-depth fine-grained flow-level measurements. However, performing in-depth per-flow measurements (e.g., detailed payload analysis) is often an expensive process. Given the fast-changing Internet traffic landscape and large traffic volume, a single monitor is not capable of accomplishing the measurement tasks for all applications of interest due to its resource constraint. Moreover, uncovering global network behavior requires network-wide traffic measurements at multiple monitors across the network since traffic measured at any single monitor only provides a partial view and may not be sufficient or accurate. These factors call for coordinated measurements among multiple distributed monitors. In this paper, we present a centralized optimization framework, LEISURE (Load-EqualIzed measurement), for load-balancing network measurement workloads across distributed monitors. Specifically, we consider various load-balancing problems under different objectives and study their extensions to support different deployment scenarios. We evaluate LEISURE via detailed simulations on Abilene and GEANT network traces to show that LEISURE can achieve much better load-balanced performance (e.g., 4.75X smaller peak workload and 70X smaller variance in workloads) across all coordinated monitors in comparison to naive solution (uniform assignment) to accomplish network-wide traffic measurement tasks.
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:604180095
Book学术官方微信