多层应用程序感知的资源分配和优化的好处

Marco Savi, Ć. Rožić, C. Matrakidis, D. Klonidis, D. Siracusa, Ioannis Tomkos
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引用次数: 6

摘要

Internet流量是由大量应用程序产生的,每个应用程序在带宽、延迟、可靠性等方面都有不同的业务需求。目前,流量工程技术可以在IP/MPLS层提供业务差异化,但不能在光层提供业务差异化。在本文中,我们提出了一个应用服务需求驱动动态多层(IP/MPLS和光)资源分配和优化的框架。我们通过仿真比较了这种应用感知算法框架与多层但应用不感知策略。结果表明,与应用感知方法不同,应用感知方法总是能够保证网络接受其生成的流量的应用满足指定的服务需求。此外,应用程序感知策略不会比应用程序不感知策略消耗更多的网络资源,而只是需要一个更动态和响应更快的网络。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Benefits of multi-layer application-aware resource allocation and optimization
Internet traffic is generated by a multitude of applications, each one with diverse service requirements in terms of bandwidth, latency, reliability, etc. Today traffic engineering techniques can provide service differentiation at the IP/MPLS layer, but not at the optical layer. In this paper we propose a framework where application service requirements drive a dynamic multi-layer (IP/MPLS and optical) resource allocation and optimization. We compare by means of simulations such application-aware algorithmic framework with a multi-layer but application-unaware strategy. Results show that the application-aware approach, unlike the application-unaware one, is always able to guarantee the specified service requirements to those applications whose generated traffic is accepted by the network. In addition, the application-aware strategy does not consume more network resources than the application-unaware one, but only requires a network that is more dynamic and responsive.
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