Subject: data center design · edge AI · internet of things · resource migration · toroidal topology
Year: 2022
Type: Proceedings
Title: An efficient architecture for edge data center networks
Author: Roig, Pedro Juan
Author: Alcaraz, Salvador
Author: Gilly, Katja
Author: Bernad, Cristina
Author: Filiposka, Sonja
Abstract: Edge AI environments are ever increasing as the amount of IoT-connected devices grow, thus rising the level of carbon emissions of such ecosystems. Therefore, sustainable AI cloud/edge systems are a must in order to minimize all those emissions, where AI plays its part in gaining efficiency. In this paper, a scheme to easily organize and optimize the computing resources in an edge data center is going to be proposed, based on a specific toroidal grid topology which minimizes distance between any pair of hosts being part of it, thus reducing energy needs. That architecture may be dynamically adjusted according to the current traffic conditions and their expected variations so as to further save power consumption by using just the necessary computing assets.
Publisher:
Relation: ICT Innovations
Identifier: oai:repository.ukim.mk:20.500.12188/25343
Identifier: http://hdl.handle.net/20.500.12188/25343
