在线业务度量:基于ipv6的流量评估和网络运营框架

D. Pezaros, D. Hutchison, J. Sventek, Francisco J. García, R. Gardner
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引用次数: 22

摘要

随着多种流量类型聚合到IP网络上,测量、监控和控制网络流量所经历的服务质量的能力变得越来越重要。评估应用程序流的实时性能是网络操作和服务管理的基本要求,也是确定不同的流量类型和传输在端到端Internet基础设施上传输时如何交互和行为的基本要求。本文介绍了一种评估IPv6网络流量性能的新型测量技术。通过利用IPv6扩展报头,测量触发器和瞬时测量指示在与有效载荷数据本身相同的数据包中携带。提供一个高水平的概率,真实用户流量的行为被观察到。测量机制应用于网络层,并提供了一种通用技术,能够测量任何类型的流量,而不依赖于特定的传输或特定的测量体系结构。还描述了该技术的原型实现,并通过测量不同容量IPv6环境上应用程序流的性能属性来评估该技术。对视频流的端到端延迟和抖动进行了测量,以及在可靠传输的基础上运行的服务的好处。这种测量技术可以作为低开销、可扩展、透明和可靠地测量单个和聚合网络流的基础,并且可以在需要时在多服务IP环境中动态部署。
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In-line service measurements: an IPv6-based framework for traffic evaluation and network operations
The ability to measure, monitor and control the service quality experienced by network traffic is becoming increasingly important as multiple traffic types are aggregated onto IP networks. Assessing the real-time performance of the application flows is an essential requirement for network operations and service management, as well as for identifying how the different traffic types and transports interact and behave, when they are carried over the end-to-end Internet infrastructure. This paper introduces a novel measurement technique for assessing the performance of IPv6 network flows. By exploiting IPv6 extension headers, measurement triggers and the instantaneous measurement indications are carried in the same packets as the payload data itself. providing a high level of probability that the behaviour of the real user traffic flows is being observed. The measurement mechanism is applied at the network layer and provides for a generic technique able to measure any type of traffic without depending on particular transports or on specific measurement architectures. A prototype implementation of this technique is also described and evaluated by measuring performance properties of application flows over different-capacity IPv6 environments. End-to-end delay and jitter of video streams have been measured, as well as the goodput for services operating on top of reliable transport. This measurement technique can be the basis for low-overhead, scalable, transparent and reliable measurement of individual and aggregate network flows, and can be dynamically deployed where and when required in a multi-service IP environment.
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