面向时延敏感业务的服务功能链部署

Research on Deployment of Service Function Chains for Delay-Sensitive Services

  • 摘要: 服务卸载和雾/边缘计算为解决云网络的延迟提供了新的范例。然而,目前关于服务卸载的研究大多考虑将正在运行的计算服务从手机或云网络卸载到雾/边缘计算网络。但是,在卸载的过程中,它会消耗额外的资源并影响用户的体验。因此,该文在部署服务功能链(SFC)时,考虑通过有效的在线博弈决策,将每条服务功能链的部分虚拟网络功能(VNF)卸载并部署到雾/边缘网络中,从而满足用户的时延要求。该文提出了一种基于服务卸载和在线博弈的最小化时延的服务功能链部署算法(DSFCD-SOOG),将有效的在线博弈和服务卸载决策相结合,在云雾计算网络中部署服务功能链,以减少服务功能链的端到端时延。最后,该文验证了DSFCD-SOOG算法在服务功能链部署中的资源效率、时间效率和阻塞率方面的优越性。

     

    Abstract: Services offloading and fog/edge computing have provided novel paradigms to solve the congestion and delay of cloud network. However, most of the current researches on services offloading consider offloading the running computing services from mobile phone or cloud network to fog/edge computing network. But in the process of offloading, it will consume additional resources and affect the user’s experience. Therefore, in this paper, when a service function chain (SFC) is deployed, the effective online game decision is used to offload and deploy a part of the virtual network function (VNF) of each SFC into fog/edge network, so as to reduce the traffic load and congestion of cloud network and meet the delay requirements of users. And then, this paper proposed an algorithm based on elay-minimum service function chain deploying of services offloading and online game (DSFCD-SOOG), it combines effective online game and services offloading decision and deploy the SFCs in cloud-fog computing networks to reduce the end-to-end delay of SFC. Finally, the superiority of the DSFCD-SOOG algorithm is verified in terms of resource efficiency, time efficiency and blocking ratio in SFC deployment.

     

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