We study the benefits of adopting server disaggregation in the fog computing tier by evaluating energy efficient placement of interactive apps in a future fog 6G network. Using a mixed integer linear programming (MILP) model, we compare the adoption of traditional server (TS) and disaggregated server (DS) architectures in a fog network comprising of selected fog computing sites in the metro and access networks. Relative to the use of TSs, our results show that the adoption of DS improves the energy efficiency of the fog network and enables up to 18% reduction in total fog computing power consumption. More instances of interactive fog apps are provisioned in a fog network that is implemented over a network topology with high delay penalty. This ensures that minimal delay is experienced by distributed users. Our result also shows that the proximity of fog computing sites such as metro-central offices and radio cell sites to geo-distributed users of interactive fog applications make them important edge locations for provisioning moderately delay sensitive fog apps. However, fog applications with more stringent delay thresholds require in situ processing at directly connected radio cell sites or at the location of the requesting users. Finally, we propose a heuristic for energy efficient and delay aware placement of interactive fog apps in a fog network which replicates the trends observed during comprehensive analysis of the exact results obtained by solving the MILP model formulated in this paper. Our results and proposed MILP and heuristic provide a good reference and tool for fog network design and deployment.

翻译：我们研究在雾计算层中采用服务器分类方法的好处,方法是对未来雾6G网络中交互式应用软件的能源高效位置进行评估。我们使用混合整数线性编程模型(MILP)将传统服务器(TS)和分类服务器(DS)结构在由地铁和接入网络中选定的选定雾计算站点组成的雾网络中进行比较。与使用TS相比,我们的结果表明,DS的采用提高了雾网络的能效,使雾计算总电量能降低18%。交互式雾应用软件在通过网络布局布局的烟雾网络中提供更多实例,并处以高延迟罚款。这样可以确保分散用户在最小的延迟时间里使用传统服务器(TS)和分解服务器(DS)结构。我们的结果还表明,雾计算站(如地铁中央办公室和无线电电池站)与地理分布的用户相近,使得它们成为提供中度延迟敏感雾雾应用的重要边缘地点。然而,在直接连接的无线电电池站点或提出请求的用户所在地进行更严格的延迟处理。最后,我们提议在网络布局中进行高度的迷雾分析,以便了解高效和深地分析。