Passive and Active Measurement
Passive and Active Measurement
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无源和有源测量
DOI：
10.1007/978-3-642-28537-0_9
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发表时间：
2012
期刊：
影响因子：
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通讯作者：
Rotsos C
中科院分区：
文献类型：
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作者：
Rotsos C
最近在软件定义网络方面的努力，如OpenFlow，前所未有地提供了对网络设备转发平面的访问。然而，在基于OpenFlow构建网络时，必须考虑到特定OpenFlow交换机实现的性能特征。在本文中，我们提出了OFLOPS，这是一个开放和通用的软件框架，允许为启用openflow的交换机开发测试，测量交换机转发引擎和远程控制应用程序之间的功能和瓶颈。OFLOPS将硬件检测与可扩展的软件框架相结合。我们使用OFLOPS来评估当前的OpenFlow交换机实现，并进行以下观察：(i)流的交换性能取决于应用的操作和固件。（ii）目前的OpenFlow实现在流量更新率和流量监控能力方面存在很大差异。（iii）通过数据平面才能观察到OpenFlow命令的准确补全。这些观察对于理解Open- Flow在特定用例上下文中的适用性至关重要，这些用例在转发表一致性、流设置延迟、流空间粒度、数据包修改类型和/或流量监控能力方面都有要求。
Recent efforts in software-defined networks, such as OpenFlow, give unprecedented access into the forwarding plane of networking equipment. When building a network based on OpenFlow however, one must take into account the performance characteristics of particular OpenFlow switch implementations. In this paper, we present OFLOPS, an open and generic software framework that permits the development of tests for OpenFlow-enabled switches, that measure the capabilities and bottlenecks between the forwarding engine of the switch and the remote control application. OFLOPS combines hardware instrumentation with an extensible software framework.We use OFLOPS to evaluate current OpenFlow switch implementations and make the following observations: (i) The switching performance of flows depends on applied actions and firmware. (ii) Current OpenFlow implementations differ substantially in flow updating rates as well as traffic monitoring capabilities. (iii) Accurate OpenFlow command completion can be observed only through the data plane. These observations are crucial for understanding the applicability of Open- Flow in the context of specific use-cases, which have requirements in terms of forwarding table consistency, flow setup latency, flow space granularity, packet modification types, and/or traffic monitoring abilities.
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发表时间：
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期刊：
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影响因子：
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DOI：
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发表时间：
2018
期刊：
2018 17th IEEE International Conference On Trust, Security And Privacy In Computing And Communications/ 12th IEEE International Conference On Big Data Science And Engineering (TrustCom/BigDataSE)
影响因子：
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作者：
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通讯作者：
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