Titlebook: QoS-Aware Virtual Network Embedding; Chunxiao Jiang,Peiying Zhang Book 2021 The Editor(s) (if applicable) and The Author(s), under exclusi

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Multi-Objective Enhanced Particle Swarm Optimization in Virtual Network Embeddingenergy cost. In this chapter, we addressed the VNE problem with these two objectives. We leverage niche PSO technique to design a meta-heuristic algorithm to solve this problem. Extensive simulations illustrate that the efficiency of our proposed algorithm is better than the state-of-the-art algorithms in terms of both revenue and energy cost.

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Introduction of Security Requirements in VNEof the most critical techniques in NV environments. Because VNE adds a virtual layer to the Internet architecture, it is easy to generate new security problems in the process of resource allocation. Aiming at the security problems in the process of VNE, we introduce four security VNE algorithms in this chapter.

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VNE Solution for Network Differentiated QoS and Security Requirements from the Perspective of Deep R this probability. Finally, the breadth first strategy (BFS) is used to map the virtual links. In the experimental stage, the algorithm based on DRL is compared with other representative algorithms in three aspects: long-term average revenue, long-term revenue consumption ratio, and acceptance rate.