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On the mapping between logical and physical topologies

机译:关于逻辑和物理拓扑之间的映射

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摘要

Network graphs, in general, successfully model a wide variety of interactions and relationships among entities, including both physical and logical connections. In this work, we study the problem of mapping a logical network on to a physical network; such a problem arises in various scenarios, for example, assignment of virtual machines on to physical servers in cloud computing, assignment of services on to physical devices in wireless/wire-line environments and physical resource assignment based on social networks. Specifically, in this paper, a logical network is a set of nodes with edges that denote the communication/bandwidth requirement between them, while a physical network denotes a set of physical nodes with edges that represent the available physical resources. The goal is to map the logical nodes on to the physical nodes and find physical resource allocation to meet the logical network demands, subject to physical network constraints. Towards this end, we propose a two-step approach to the problem, provide a set of novel feasibility checks for node assignment which are proved to be necessary and sufficient, and finally present a simple and fast algorithm that achieves a feasible logical to physical mapping with high probability. Illustrative simulation results are also presented to highlight the efficiency of the proposed algorithms.
机译:通常,网络图可以成功地对实体之间的各种交互和关系建模,包括物理连接和逻辑连接。在这项工作中,我们研究了将逻辑网络映射到物理网络的问题。这种问题在各种情况下都会出现,例如,将虚拟机分配给云计算中的物理服务器,将服务分配给无线/有线环境中的物理设备以及基于社交网络的物理资源分配。具体来说,在本文中,逻辑网络是一组节点,它们的边缘表示它们之间的通信/带宽要求,而物理网络则是一组物理节点,其边缘表示可用的物理资源。目的是将逻辑节点映射到物理节点上,并在物理网络约束下,找到满足逻辑网络需求的物理资源分配。为此,我们提出了一种分两步的方法来解决该问题,为节点分配提供了一组新颖的可行性检查,事实证明这些检查是必要和充分的,最后提出了一种简单而快速的算法,该算法实现了从物理映射到逻辑映射的可行性可能性很高。还给出了说明性的仿真结果,以突出所提出算法的效率。

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