Efficient virtual evolved packet core deployment across multiple cloud domains
Efficient virtual evolved packet core deployment across multiple cloud domains
复制标题
DOI：
10.1109/wcnc.2018.8377297
复制
发表时间：
2018-04
期刊：
影响因子：
--
通讯作者：
Miloud Bagaa;T. Taleb;Abdelquoddouss Laghrissi;A. Ksentini
中科院分区：
文献类型：
--
作者：
Miloud Bagaa;T. Taleb;Abdelquoddouss Laghrissi;A. Ksentini
许多正在进行的与 5G 移动系统相关的研究活动都涉及演进分组核心 (EPC) 元素的虚拟化，旨在实现系统可扩展性、弹性、灵活性和成本效率。虚拟演进分组核心（vEPC）将主要依靠网络功能虚拟化（NFV）、软件定义网络（SDN）和云计算等一些关键技术来实现移动运营商云的概念。这一概念的关键思想也称为 EPC 即服务 (EPCaaS)，包括在联合云上部署关键核心网络功能（即虚拟网络功能 — VNF）的虚拟实例（即虚拟机或容器），例如移动管理实体 (MME)、服务网关 (SGW) 和分组数据网络网关 (PGW)。在这种情况下，非常需要一种高效的 VNF 放置算法来维持服务质量 (QoS)，同时降低部署成本。在本文中，我们的贡献是设计一种算法，用于导出联合云上 vEPC 虚拟实例的最佳数量和位置。所提出的算法基于联盟形成博弈，其目的是建立云网络（CN）的最佳联盟来托管 vEPC 元素的虚拟实例。获得的结果清楚地表明了该算法在给定 vEPC 部署成本的情况下确保 QoS 的优势，同时最大化云运营商的利润。
Many ongoing research activities relevant to 5G mobile systems concern the virtualization of the Evolved Packet Core (EPC) elements aiming for system scalability, elasticity, flexibility, and cost-efficiency. Virtual Evolved Packet Core (vEPC) will principally rely on some key technologies, such as Network Function Virtualization (NFV), Software Defined Networking (SDN) and Cloud Computing, for enabling the concept of Mobile Carrier Cloud. The key idea beneath this concept, known also as EPC as a Service (EPCaaS), consists in deploying virtual instances (i.e., Virtual Machines or Containers) of key core network functions (i.e., Virtual Network Functions — VNF), such as the Mobility Management Entity (MME), Serving GateWay (SGW), and Packet Data network gateWay (PGW) over a federated cloud. In this vein, an efficient VNF placement algorithm is highly needed to sustain the Quality of Service (QoS) while reducing the deployment cost. Our contribution, in this paper, is to devise an algorithm that derives the optimal number and locations of vEPC's virtual instances over the federated cloud. The proposed algorithm is based on coalition formation game, wherein the aim is to build optimal coalitions of Cloud Networks (CNs) to host the virtual instances of the vEPC elements. The obtained results clearly indicate the advantages of the proposed algorithm in ensuring QoS given a fixed cost for vEPC deployment, while maximizing the profits of cloud operators.