Multi Objective Resource Optimization of Wireless Network Based on Cross Domain Virtual Network Embedding
| Autor: | Youxiang Duan, Qifeng Sun, Tao Dong, Chao Wang, Peiving Zhang |
|---|---|
| Rok vydání: | 2022 |
| Předmět: |
Networking and Internet Architecture (cs.NI)
FOS: Computer and information sciences Network architecture Computer Science - Artificial Intelligence business.industry Wireless network Computer science Node (networking) Network delay Computer Science - Networking and Internet Architecture Resource (project management) Artificial Intelligence (cs.AI) Resource allocation Resource management business Virtual network Computer network |
| Zdroj: | ComComAP |
| DOI: | 10.48550/arxiv.2202.02139 |
| Popis: | The rapid development of virtual network architecture makes it possible for wireless network to be widely used. With the popularity of artificial intelligence (AI) industry in daily life, efficient resource allocation of wireless network has become a problem. Especially when network users request wireless network resources from different management domains, they still face many practical problems. From the perspective of virtual network embedding (VNE), this paper designs and implements a multi-objective optimization VNE algorithm for wireless network resource allocation. Resource allocation in virtual network is essentially a problem of allocating underlying resources for virtual network requests (VNRs). According to the proposed objective formula, we consider the optimization mapping cost, network delay and VNR acceptance rate. VNE is completed by node mapping and link mapping. In the experiment and simulation stage, it is compared with other VNE algorithms, the cross domain VNE algorithm proposed in this paper is optimal in the above three indicators. This shows the effectiveness of the algorithm in wireless network resource allocation. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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