基于qos的MPLS组播树选择算法

F. Farooq, S. Aslam, S. Sarwar
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引用次数: 4

摘要

如何找到一棵满足成本、可靠性、带宽、抖动和时延等面向流量和面向资源的QoS约束的组播LSP树,已成为MPLS网络中组播路由领域的一个重要研究课题。一般来说,多约束组播树选择是一个np完全问题。本文从优化技术的角度对基于qos的组播树选择算法进行了评价。现有的算法分为三个维度:非mpls /基于mpls、单一/多个QoS约束、启发式/单播/人工智能优化技术。除了对现有解决方案进行最新的回顾之外,本文还强调了基于qos的MPLS多播算法的重要特征,并讨论了在未来的研究活动中值得研究的重要问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
QoS-based MPLS multicast tree selection algorithms
Identifying a multicast label-switched-path (LSP) tree that satisfy a set of traffic-oriented and resource-oriented QoS constraints such as cost, reliability, bandwidth, jitter, and delay, has become an important research issue in the area of multicast routing in MPLS networks. In general, multi-constrained multicast tree-selection is an NP-complete problem. In this survey, QoS-based multicast tree-selection algorithms from the perspective of optimization techniques are evaluated. The existing algorithms are classified into three dimensions: non-MPLS-/MPLS-based, single/multiple QoS constrained, and heuristic-/unicast-/artificial-intelligence optimization techniques. In addition to state-of-the-art review of existing solutions, this article highlights important characteristics of QoS-based MPLS multicast algorithms and discuss important issues that are worthy of investigation in future research activities.
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