EQuery: Enable event-driven declarative queries in programmable network measurement

Yongyi Ran, Xiaoban Wu, Peilong Li, Chen Xu, Yan Luo, Liang-Min Wang
{"title":"EQuery: Enable event-driven declarative queries in programmable network measurement","authors":"Yongyi Ran, Xiaoban Wu, Peilong Li, Chen Xu, Yan Luo, Liang-Min Wang","doi":"10.1109/NOMS.2018.8406142","DOIUrl":null,"url":null,"abstract":"Network measurement is critical in network management such as performance monitoring, diagnosis, and traffic engineering. However, conventional network measurement solutions are limited by simple and fixed functionalities as well as coarse-grained statistics which often fail to precisely illustrate network conditions. In this paper, we propose an event-driven declarative query language, EQuery, for programmable network management in order to design sophisticated measurement tasks and enable event mechanism to avoid human intervene. Furthermore, we design a compiler to support the query language on the EQuery Controller, which drives the chaining query workflow with nondeterministic finite automaton (NFA), and translates measurement jobs into low-level rules/states on the physical devices. Finally, we evaluate the effectiveness of our EQuery framework on a nation-wide operational network with real-time network statistics.","PeriodicalId":19331,"journal":{"name":"NOMS 2018 - 2018 IEEE/IFIP Network Operations and Management Symposium","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2018-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"NOMS 2018 - 2018 IEEE/IFIP Network Operations and Management Symposium","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NOMS.2018.8406142","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6

Abstract

Network measurement is critical in network management such as performance monitoring, diagnosis, and traffic engineering. However, conventional network measurement solutions are limited by simple and fixed functionalities as well as coarse-grained statistics which often fail to precisely illustrate network conditions. In this paper, we propose an event-driven declarative query language, EQuery, for programmable network management in order to design sophisticated measurement tasks and enable event mechanism to avoid human intervene. Furthermore, we design a compiler to support the query language on the EQuery Controller, which drives the chaining query workflow with nondeterministic finite automaton (NFA), and translates measurement jobs into low-level rules/states on the physical devices. Finally, we evaluate the effectiveness of our EQuery framework on a nation-wide operational network with real-time network statistics.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
查询:在可编程网络度量中启用事件驱动的声明性查询
网络测量在网络性能监控、网络诊断、网络流量工程等网络管理中起着重要的作用。然而,传统的网络测量解决方案受到简单和固定的功能以及粗粒度统计数据的限制,这些统计数据往往无法准确地说明网络状况。在本文中,我们提出了一种事件驱动的声明性查询语言,EQuery,用于可编程网络管理,以设计复杂的测量任务,并使事件机制避免人为干预。此外,我们设计了一个编译器来支持query Controller上的查询语言,它驱动带有不确定性有限自动机(NFA)的链查询工作流,并将测量作业转换为物理设备上的低级规则/状态。最后,我们通过实时网络统计来评估我们的query框架在全国运营网络上的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
SSH Kernel: A Jupyter Extension Specifically for Remote Infrastructure Administration Visual emulation for Ethereum's virtual machine Analyzing throughput and stability in cellular networks Network events in a large commercial network: What can we learn? Economic incentives on DNSSEC deployment: Time to move from quantity to quality
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1