GCMD: Genetic Correlation Multi-Domain Virtual Network Embedding Algorithm

With the increase of network scale and complexity structure, problems traditional Internet have emerged. At same time, appearance function virtualization (NFV) technologies has largely solved this problem, they can effectively split according to application requirements, flexibly provide functions when needed. During development virtual network, how improve performance, including reducing cost embedding process shortening been widely concerned by academia. Combining genetic algorithm with paper proposes a correlation multi-domain (GCMD-VNE). The improves natural selection stage crossover algorithm, adds more accurate formula conditions, performance algorithm. Simulation results show that, compared existing algorithms, better in terms time.