Topology awareness algorithm for virtual network mapping

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Xiaoling LI Huaimin WANG Changguo GUO Bo DING Xiaoyong LI Wenqi BI Shuang TAN National Key Laboratory of Parallel and Distributed Processing National University of Defense Technology Changsha China School of Computer National University of Defense Technology Changsha China China Electronic Systems Engineering Corporation Beijing China The Northern Institute of Electronic Equipment of China Beijing China [1 ,2 ,1 ,2 ,3 ,1 ,2 ,1 ,2 ,4 ,2 ,1 ,410073 ,2 ,410073 ,3 ,100039 ,4 ,100083 ]
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Network virtualization is recognized as an effective way to overcome the ossification of the Internet. However, the virtual network mapping problem (VNMP) is a critical challenge, focusing on how to map the virtual networks to the substrate network with efficient utilization of infrastructure resources. The problem can be divided into two phases: node mapping phase and link mapping phase. In the node mapping phase, the existing algorithms usually map those virtual nodes with a complete greedy strategy, without considering the topology among these virtual nodes, resulting in too long substrate paths (with multiple hops). Addressing this problem, we propose a topology awareness mapping algorithm, which considers the topology among these virtual nodes. In the link mapping phase, the new algorithm adopts the k-shortest path algorithm. Simulation results show that the new algorithm greatly increases the long-term average revenue, the acceptance ratio, and the long-term revenue-to-cost ratio (R/C).
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页数:9
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