A Single-Tier Fog Architecture for Delay-Sensitive and Computation-Intensive SFC Requests

M. Jasim, N. Siasi, S. Malapaka, D. Oliveira, O. Ugweje
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Abstract

Fog computing is a promising edge network paradigm for delay-sensitive applications, attributed to the reduced link delays between nodes. However, the limited resources at the fog nodes impose restrictions to serve computation-intensive requests. Therefore, these requests are often relayed to the cloud nodes and thereby incurring link delays. This approach impedes serving requests that are both delay-sensitive and computation-intensive. Hence this paper proposes a novel single-tier fog architecture that processes this category of requests at the edge of the network. Moreover, a service function chain (SFC) provisioning scheme is implemented on the proposed architecture using Hooke Jeeves algorithm. Simulation results indicate that the proposed solution outperforms hybrid fog-cloud architectures for the same number of hosted requests (saturation level) in terms of delay and energy consumption.
用于延迟敏感和计算密集型SFC请求的单层雾架构
雾计算是一种很有前途的边缘网络范例,用于延迟敏感应用,归因于节点之间的链路延迟减少。然而,雾节点上有限的资源对服务计算密集型请求施加了限制。因此,这些请求经常被转发到云节点,从而导致链路延迟。这种方法阻碍了对延迟敏感和计算密集的请求提供服务。因此,本文提出了一种新的单层雾架构,在网络边缘处理这类请求。在此基础上,利用Hooke Jeeves算法实现了业务功能链(SFC)的配置方案。仿真结果表明,对于相同数量的托管请求(饱和水平),所提出的解决方案在延迟和能耗方面优于混合雾云架构。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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