Tactic: Apply Cloud Fog Network Architecture

Tactic sort: Awesome Tactic

Type: Architectural Tactic

Tags: deployment machine-learning measured

Title

Apply Cloud Fog Network Architecture

Description

Devices at the edge are usually connected to distant cloud services. However, bringing the cloud closer to edge devices could be more energy efficient. A cloud fog network (CFN) is one way to achieve that. CFN supports an architecture where deep neural network models are processed in servers between end-devices and clouds. For example, Yosuf et al. (2021) present a CFN architecture that consists of four layers: IoT end devices, Access Fog (AF), Metro Fog (MF), and Cloud Datacenter (CDC). This architecture led to a 68% reduction in power consumption when compared to a traditional cloud data center architecture on average.

Participant

Software Designer

Related software artifact

Machine Learning Algorithm

Context

Network

Software feature

< unknown >

Tactic intent

Improve energy efficiency by using CFNs to bring the cloud closer to edge devices and reduce energy consumption due to data transfers

Target quality attribute

Energy Efficiency

Other related quality attributes

Performance

Measured impact

Yosuf et al demonstrated that on average, the use of Cloud fog network (CFN) architecture led to a 68% reduction in power consumption when compared to a traditional cloud data center architecture.

Source

Barzan A Yosuf, Sanaa H Mohamed, Mohammed M Alenazi, Taisir EH El-Gorashi, and Jaafar MH Elmirghani. 2021. Energy-Efficient AI over a Virtualized Cloud Fog Network. In Proceedings of the Twelfth ACM International Conference on Future Energy Systems. 328–334 (DOI: https://doi.org/10.1145/3447555.3465378)