查询:在可编程网络度量中启用事件驱动的声明性查询

Yongyi Ran, Xiaoban Wu, Peilong Li, Chen Xu, Yan Luo, Liang-Min Wang
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引用次数: 6

摘要

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