• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>International Teletraffic Congress >A Power Efficient and Robust Virtual Network Functions Placement Problem
【24h】

A Power Efficient and Robust Virtual Network Functions Placement Problem

机译：高效，强大的虚拟网络功能放置问题

获取原文
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Reducing the CAPEX and OPEX is a major concern for Telecom Operators (TOs): to this extent, Network Function Virtualization (NFV) has been considered a key aspect to virtualize network functions and push them to the NFV Infrastructure. Virtual Network Functions (VNFs) can be deployed as a set of components running on several cooperating Virtual Machines (VMs) inside modern data centers. As a consequence, it becomes crucial for network operators to minimize the power consumption of their NFV infrastructure, by using the minimum set of physical servers and networking equipment subject to the constraints that VNFs impose on the infrastructure in terms of compute, memory, disk and network resources requirements. In this work, we present a joint resources and flow routing assignment problem for VNFs placement, with the objective of minimizing both the power consumption of the servers and switches needed to deploy the overall virtualized infrastructure and the routing graph. In contrast to many existing works assuming perfect knowledge on input parameters, such as VNFs CPU demands, which is difficult to predict, we propose a novel mathematical model based on the Robust Optimization (RO) theory to deal with data uncertainty. Our numerical evaluation focuses on a specific use-case, that is the deployment of a virtualized Evolved Packet Core (vEPC), namely the core for next generation mobile networks. We demonstrate that with our model, a vEPC operator can trade-off between two important aspects: the power consumption minimization on one side, and the protection from severe deviations of the input parameters on the other (e.g. the resources requirements).
机译：降低CAPEX和OPEX是电信运营商（TO）的主要问题：在此程度上，网络功能虚拟化（NFV）被视为虚拟化网络功能并将其推向NFV基础架构的关键方面。虚拟网络功能（VNF）可以作为一组组件部署在现代数据中心内部的多个协作虚拟机（VM）上运行。因此，对于网络运营商而言，通过使用最少的物理服务器和网络设备集（受VNF在计算，内存，磁盘和磁盘等方面施加在基础架构上的约束），最小化其NFV基础架构的功耗变得至关重要。网络资源需求。在这项工作中，我们提出了用于VNF放置的联合资源和流路由分配问题，目的是最大程度地减少部署整个虚拟化基础架构和路由图所需的服务器和交换机的功耗。与许多现有工作假设对输入参数（例如VNFs CPU需求）具有完备知识（这很难预测）相反，我们提出了一种基于鲁棒优化（RO）理论的新颖数学模型来处理数据不确定性。我们的数值评估着眼于特定的用例，即部署虚拟化的演进分组核心（vEPC），即下一代移动网络的核心。我们证明了通过我们的模型，vEPC运营商可以在两个重要方面之间进行权衡：一方面使功耗最​​小化，另一方面防止输入参数的严重偏差（例如资源需求）。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号