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首页> 外文期刊>Optical Communications and Networking, IEEE/OSA Journal of >Virtual network mapping for multicast services with max-min fairness of reliability
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Virtual network mapping for multicast services with max-min fairness of reliability

机译:最大可靠性公平的多播服务虚拟网络映射

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Network function virtualization (NFV) provides an effective way to reduce the network provider's cost by allowing multiple virtual networks (VNs) to share the underlying physical infrastructure. In the NFV environment, especially when supporting multicast services over the VNs, reliability is a critical requirement since the failure of one virtual node can cause the malfunction of multiple nodes that receive multicasting data from it. In this paper, we study for the first time to the best of our knowledge how to efficiently map VNs for multicast services over both general IP networks and orthogonal frequency division multiplexing (OFDM)-based elastic optical networks (EONs) while taking into consideration the max-min fairness in terms of reliability among distinct VNs. For general IP networks, we propose a mixed integer linear programming (MILP) model to determine the upper bound on the reliability with max-min fairness. In addition, an efficient heuristic, namely a reliability-aware genetic (RAG) algorithm, is developed to address reliable multicast VN mapping with a low computational complexity. By encoding multicast tree construction and link mapping into the process of path selection, taking into consideration the reliability with max-min fairness, and the networking reliability factors during mutation, RAG can globally optimize the reliability and fairness of all the multicast VN requests. For OFDM-based EONs, we extend the MILP (RAG) to optical-MILP [(O-MILP) optical RAG (O-RAG)] by considering the most efficient modulation format selection strategy, spectrum continuity, and conflict constraints. Through extensive simulations, we demonstrate that RAG (O-RAG) achieves close to the optimal reliability fairness with a much lower time complexity than the MILP (O-MILP) model. In particular, the path reliability-based mutation strategy in RAG (O-RAG) yields a significant performance improvement over other heuristic solutions in terms of reliability fairness, bandw- dth (spectrum) consumption, and transmission delay.
机译:网络功能虚拟化(NFV)通过允许多个虚拟网络(VN)共享基础物理基础结构,提供了一种有效降低网络提供商成本的方法。在NFV环境中,尤其是在VN上支持多播服务时,可靠性是至关重要的要求,因为一个虚拟节点的故障可能会导致从该虚拟节点接收多播数据的多个节点发生故障。在本文中,我们首次根据自己的知识,研究了如何在通用IP网络和基于正交频分多路复用(OFDM)的弹性光网络(EON)上有效地映射多播服务的VN。不同VN之间的可靠性方面的最大-最小公平性。对于一般的IP网络,我们提出了一种混合整数线性规划(MILP)模型,以最大-最小公平性确定可靠性的上限。另外,开发了一种有效的启发式算法,即可靠性感知遗传(RAG)算法,以较低的计算复杂度来解决可靠的多播VN映射。通过将多播树构造和链接映射编码到路径选择过程中,同时考虑最大最小公平性的可靠性以及变异期间的网络可靠性因素,RAG可以全局优化所有多点广播VN请求的可靠性和公平性。对于基于OFDM的EON,我们通过考虑最有效的调制格式选择策略,频谱连续性和冲突约束,将MILP(RAG)扩展到光学MILP [(O-MILP)光学RAG(O-RAG)]。通过广泛的仿真,我们证明RAG(O-RAG)以比MILP(O-MILP)模型低得多的时间复杂度实现了接近最佳可靠性的公平性。特别是,在可靠性公平性,带宽(频谱)消耗和传输延迟方面,RAG中基于路径可靠性的变异策略(O-RAG)与其他启发式解决方案相比,具有显着的性能提升。

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