战术边缘自适应WRED和CBWFQ算法分析

Ming-Jye Sheng, K.I. Park, T. Mak
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引用次数: 4

摘要

在过去的几年里,基于先例的军事保障服务(PBAS)一直是一个突出的讨论话题。尽管GIG中没有针对此类融合服务的官方PBAS需求,但普遍的共识是,在带宽受限的环境下,军事行动需要PBAS能力,并且相关的功能和需求应该被清楚地定义和记录。每个以网络为中心的项目还开发了自己独特的DSCP计划,以支持特定的PBAS功能。最困难的挑战之一是支持跨这些网络的不同DSCP计划的端到端QoS互操作性。本文给出了自适应WRED和CBWFQ算法的随机模型,用于分析DSCP计划中各DSCP流的延迟和吞吐量。对于以网络为中心的项目工程师来说,在研究大型复杂网络的性能和行为时,使用包级粒度模拟器是非常耗时的。该分析模型提供了一个简单的工具,帮助网络工程师更有效地理解和管理DSCP计划,以支持各种网络部署场景。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analysis of adaptive WRED and CBWFQ algorithms on tactical edge
The military precedence-based assured service (PBAS) has been a prominent topic of discussion for the past several years. Whereas there are no official PBAS requirements for such converged services in the GIG, there is a general consensus that a PBAS capability is needed for the military operation under bandwidth constraint environment and that the associated functions and requirements should be clearly defined and documented. Each of network-centric projects also develops its own unique DSCP plan to support specific PBAS capability. One of the hardest challenges is to support the end-to-end QoS interoperability with different DSCP plans across these networks. This paper provides stochastic models for adaptive WRED and CBWFQ algorithms to analyze delay and throughput of each DSCP flow of a DSCP plan. It is time consuming for network-centric project engineer to use a packet level granularity simulator when investigating the performance and behavior of large and complex networks. This analytical model provides a simple tool to help network engineer understand and manage DSCP plan more effectively in support of various network deployment scenarios.
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