A Robust Optimization Based Energy-Aware Virtual Network Function Placement Proposal for Small Cell 5G Networks with Mobile Edge Computing Capabilities
A Robust Optimization Based Energy-Aware Virtual Network Function Placement Proposal for Small Cell 5G Networks with Mobile Edge Computing Capabilities
复制标题
DOI：
10.1155/2017/2603410
复制
发表时间：
2017
期刊：
影响因子：
--
通讯作者：
Bego Blanco;Ianire Taboada;J. O. Fajardo;F. Liberal
中科院分区：
文献类型：
--
作者：
Bego Blanco;Ianire Taboada;J. O. Fajardo;F. Liberal
在具有网络功能虚拟化能力的云使能5G无线接入网络的背景下，我们重点研究了提供移动边缘计算服务的多租户集群的虚拟网络功能布局问题。在新兴的分布式网络架构和硬件基础设施下，我们使用支持云的小型蜂窝，集成微服务器以进行虚拟化执行，并配备额外的硬件设备。本文提出了一种基于服务需求不确定性的稳健优化方法，以最小化受网络服务时延要求和基础设施条件约束的系统功耗。然后，我们讨论了所提出的放置机制在结合了几种服务风格和稳健保护价值的5G场景中的结果。在分析了服务质量和健壮性保护对系统整体功耗的影响后，数值结果表明，该方案在满足服务约束的同时，成功地将组成网络服务的虚拟网络功能放置在可用硬件基础设施中。
In the context of cloud-enabled 5G radio access networks with network function virtualization capabilities, we focus on the virtual network function placement problem for a multitenant cluster of small cells that provide mobile edge computing services. Under an emerging distributed network architecture and hardware infrastructure, we employ cloud-enabled small cells that integrate microservers for virtualization execution, equipped with additional hardware appliances. We develop an energy-aware placement solution using a robust optimization approach based on service demand uncertainty in order to minimize the power consumption in the system constrained by network service latency requirements and infrastructure terms. Then, we discuss the results of the proposed placement mechanism in 5G scenarios that combine several service flavours and robust protection values. Once the impact of the service flavour and robust protection on the global power consumption of the system is analyzed, numerical results indicate that our proposal succeeds in efficiently placing the virtual network functions that compose the network services in the available hardware infrastructure while fulfilling service constraints.