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We study the benefits of adopting server disaggregation in the fog computingtier by evaluating energy efficient placement of interactive apps in a futurefog 6G network. Using a mixed integer linear programming (MILP) model, wecompare the adoption of traditional server (TS) and disaggregated server (DS)architectures in a fog network comprising of selected fog computing sites inthe metro and access networks. Relative to the use of TSs, our results showthat the adoption of DS improves the energy efficiency of the fog network andenables up to 18% reduction in total fog computing power consumption. Moreinstances of interactive fog apps are provisioned in a fog network that isimplemented over a network topology with high delay penalty. This ensures thatminimal delay is experienced by distributed users. Our result also shows thatthe proximity of fog computing sites such as metro-central offices and radiocell sites to geo-distributed users of interactive fog applications make themimportant edge locations for provisioning moderately delay sensitive fog apps.However, fog applications with more stringent delay thresholds require in situprocessing at directly connected radio cell sites or at the location of therequesting users. Finally, we propose a heuristic for energy efficient anddelay aware placement of interactive fog apps in a fog network which replicatesthe trends observed during comprehensive analysis of the exact results obtainedby solving the MILP model formulated in this paper. Our results and proposedMILP and heuristic provide a good reference and tool for fog network design anddeployment.

Disaggregation for Energy Efficient Fog in Future 6G Networks