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绿色移动边缘网络中可靠的虚拟网络功能部署技术研究
引用本文:梁俊斌,黄少东,吴旭,杨颖.绿色移动边缘网络中可靠的虚拟网络功能部署技术研究[J].计算机应用研究,2023,40(12):3521-3528+3538.
作者姓名:梁俊斌  黄少东  吴旭  杨颖
作者单位:1. 广西大学计算机与电子信息学院;2. 广西大学多媒体通信与网络技术重点实验室
基金项目:国家自然科学基金资助项目(62062006);
摘    要:绿色移动边缘网络(GMEN)是一个新兴的分布式网络,它将可再生的绿色能量作为边缘节点运行的主要能源,从而减少从电网中获取的能量。在GMEN中,网络服务供应商可以将多个虚拟网络功能(VNF)按照特定的顺序组成服务功能链(SFC)来处理用户的请求,这些VNF可以以软件实例的形式被灵活地部署在边缘节点上来高效地利用绿色能量。为了保证服务的时延和可靠性要求,需要把多个备份VNF(BVNF)部署在距VNF k跳范围内的节点上,以便在VNF发生故障时能代替它继续提供满足时延要求的服务。然而,每个地理分散的边缘节点收集到的绿色能量是动态变化的,如果VNF周围的节点所收集的能量减少并小于运行BVNF所需的能耗,则需要从电网中获取额外的能量来保证它的运行。因此,根据节点收集的绿色能量和使用计算、通信等资源所消耗的能量速率,制定在线的VNF和BVNF联合部署方案,使得边缘节点从电网中获取的能量被最小化,同时保证服务的时延和可靠性要求,是一个NP-hard问题。目前,已有许多工作对这一问题进行了研究,并取得了一定的成果,但在实际的应用中仍面临着一些问题。为了更深入地推进该领域的研究,对近几年的最新研究成果进...

关 键 词:移动边缘网络  能量收集  网络功能虚拟化  可靠性  虚拟网络功能部署决策
收稿时间:2023/3/14 0:00:00
修稿时间:2023/11/12 0:00:00

Research on reliable virtual network function deployment technology in green mobile edge networks
Liang junbin,Huang shaodong,Wu xu and Yang ying.Research on reliable virtual network function deployment technology in green mobile edge networks[J].Application Research of Computers,2023,40(12):3521-3528+3538.
Authors:Liang junbin  Huang shaodong  Wu xu and Yang ying
Affiliation:School of Computer and Electronic Information, Guangxi University,,,
Abstract:Green mobile edge network(GMEN) is an emerging distributed network that uses renewable green energy as the main energy source for edge nodes to operate, thereby reducing energy acquisition from the power grid. In GMEN, network service providers can form a service function chain(SFC) of multiple virtual network functions(VNF) in a specific order to process user requests. These VNF can flexibly deploy in the form of software instances on edge nodes to efficiently utilize green energy. To ensure the latency and reliability requirements of the service, it is necessary to deploy multiple backup VNFs(BVNF) on nodes within a k-hop range of VNF, to replace it in providing services that meet the latency requirements in the event of VNF failure. However, the green energy collected by each geographically dispersed edge node is dynamically changing. If the collected energy of nodes around the VNF decreases and is less than the energy consumption required to operate the BVNF, the node needs to harvest additional energy from the grid to guarantee its operation. Therefore, developing an online joint deployment plan for VNF and BVNF based on the green energy collected by nodes and the energy rate consumed by computing, communication, and other resources is an NP-hard problem, which minimizes the energy obtained by edge nodes from the power grid while ensuring service latency and reliability requirements. At present, there are many studies on this issue and certain achievements have been made, but there are still some problems in practical applications. To further promote research in this field, this paper analyzed, summarized the latest research achievements in recent years, and compared their advantages and disadvantages, and provided prospects for future work.
Keywords:mobile edge network  energy harvesting  network function virtualization  reliability  virtual network function deployment
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