Network-aware Placement Optimization for Edge Computing infrastructure under 5G
Visualitza/Obre
10.1109/ACCESS.2020.2982241
Inclou dades d'ús des de 2022
Cita com:
hdl:2117/185263
Tipus de documentArticle
Data publicació2020-03-20
EditorInstitute of Electrical and Electronics Engineers (IEEE)
Condicions d'accésAccés obert
Llevat que s'hi indiqui el contrari, els
continguts d'aquesta obra estan subjectes a la llicència de Creative Commons
:
Reconeixement 3.0 Espanya
Abstract
Edge Computing has grown into a key solution for coping with the stringent latency requirements of 5G scenarios. Nevertheless, the edge node placement problem raises critical concerns regarding deployment and operational expenditures (i.e., mainly due to the number of nodes to be deployed),current backhaul network capabilities, non-technical placement limitations, etc. In this paper, a novel framework called EdgeON is presented aiming at reducing the overall expenses when deploying and operating an Edge Computing (EC) network, taking into account the usage and characteristics of the in-place backhaul network. The framework implements several placement and optimization strategies targeting the heavily constrained network-aware Edge Node Placement Problem (ENPP). The results obtained by our solution are promising, achieving an average of30%less Edge Nodes (ENs) deployed and 25% higher average usage ratio when compared to other widely used heuristics. Furthermore, our strategy achieved as core offset of less than2%in comparison to the implemented Mixed Integer Linear Programming (MILP).
Descripció
© 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
CitacióSantoyo, A.; Cervelló-Pastor, C. Network-aware Placement Optimization for Edge Computing infrastructure under 5G. "IEEE access", 20 Març 2020, vol. 8, p. 56015-56028.
ISSN2169-3536
Versió de l'editorhttps://ieeexplore.ieee.org/document/9043540
Fitxers | Descripció | Mida | Format | Visualitza |
---|---|---|---|---|
Paper-Access.pdf | Postprint version of the article | 1,358Mb | Visualitza/Obre |