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Multicast-Aware Service Function Tree Embedding

机译:组播感知服务功能树嵌入

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摘要

With the technology of Network Function Virtualization (NFV), a multicast service (e.g., real-time multimedia streaming or event monitoring) may be accommodated with a Service Function Chain (SFC). The SFC consists of an ordered set of network functions running on generic physical hardware to provide services from source node to each destination node of the multicast service. In this paper, we define the problem of Multicast-aware Service Function Tree Embedding (M-SFTE), which allows the multicast flows to traverse through network service functions before reaching destination nodes. The M-SFTE maps user's SFC-based multicast requests onto a shared substrate network while considering the constraints of network functionality, computing demand of each virtual network function node, and the bandwidth demand of the request. We propose a novel algorithm, called Minimum Cost Multicast Service Function Tree (MC-MSFT) to jointly optimize the process of constructing SFC-based multicast tree and allocating requested resource to embed the tree onto the physical network. The experimental results show that the MC-MSFT algorithm outperforms the traditional greedy-based algorithms as much as by 35% in terms of the total bandwidth consumption.
机译:利用网络功能虚拟化(NFV)的技术,可以容纳了多播服务(例如,实时多媒体流或事件监控),具有服务功能链(SFC)。 SFC由运行在通用物理硬件上运行的有序网络函数组成,以从源节点到多播服务的每个目标节点提供服务。在本文中,我们定义了组播感知服务功能树嵌入(M-SFTE)的问题,该问题允许在到达目的地节点之前通过网络服务函数遍历多播。 M-SFTE将基于SFC的多播请求映射到共享基板网络上,同时考虑网络功能,计算每个虚拟网络功能节点的计算需求以及请求的带宽需求。我们提出了一种新颖的算法,称为最小成本多播服务功能树(MC-MSFT),共同优化构建基于SFC的组播树的过程并分配所请求的资源将树嵌入物理网络上。实验结果表明,在总带宽消耗的方面,MC-MSFT算法优于传统的贪婪算法,尽可能多地达到35%。

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