SCD-NS: Service Customized Deployment of Network Slicing

Ying Wang, Jidong Zhang, Jiang Liu, Hua Lu, Tao Huang
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引用次数: 2

Abstract

The fifth generation networks (5G) can support a variety of vertical industries, such as autonomous driving, telemedicine and industrial automation. Network Slicing (NS) is a promising technology for 5G that can provide customized end-to-end network services for multi-tenants. To provide services to tenants according to different service requirements, we model delay and reliability of NS. We propose a method for service-customized deployment of network slicing (SCD-NS), which allocates resources according to different types of network slices. When deploying a network slice, we adopt a two-stage deployment method, in which first stage is virtual node deployment and second stage is virtual link deployment. Since the problem of network slices deployment is usually NP-Hard, we encode the virtual node deployment solution as a chromosome and use genetic algorithms to solve this problem. In the stage of virtual node deployment, we obtain the initial solutions through minimizing the average number of hops between nodes. In the stage of virtual link deployment, we provide adaptive deployment based on the types of network slices. The simulation results show that SCD-NS realizes better service customization and higher network utilization compared with current algorithm.
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SCD-NS:网络切片的业务定制部署
第五代网络(5G)可以支持各种垂直行业,如自动驾驶、远程医疗和工业自动化。网络切片(Network Slicing, NS)是一项很有前途的5G技术,可以为多租户提供定制的端到端网络服务。为了根据不同的业务需求向租户提供服务,我们对NS的时延和可靠性进行了建模。提出了一种基于服务定制的网络切片(SCD-NS)部署方法,根据不同类型的网络切片分配资源。在部署网络片时,我们采用两阶段部署方法,第一阶段为虚拟节点部署,第二阶段为虚拟链路部署。由于网络切片部署通常是NP-Hard问题,我们将虚拟节点部署方案编码为染色体,并使用遗传算法来解决该问题。在虚拟节点部署阶段,我们通过最小化节点间的平均跳数来获得初始解。在虚拟链路部署阶段,我们提供了基于网络切片类型的自适应部署。仿真结果表明,与现有算法相比,SCD-NS实现了更好的业务定制和更高的网络利用率。
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