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001-es BibID:	BIBFORM116499
035-os BibID:	(WoS)001143123700007 (Scopus)85174848207
Első szerző:	Nsaif, Mohammed (informatics)
Cím:	Survey of Routing Techniques-Based Optimization of Energy Consumption in SD-DCN / Mohammed Nsaif, Gergely Kovásznai, Ali Malik, Ruairí de Fréin
Dátum:	2023
ISSN:	2061-2079
Megjegyzések:	The increasing power consumption of Data Center Networks (DCN) is becoming a major concern for network operators. The object of this paper is to provide a survey of state-of-the-art methods for reducing energy consumption via (1) enhanced scheduling and (2) enhanced aggregation of traffic flows using Software-Defined Networks (SDN), focusing on the advantages and disadvantages of these approaches. We tackle a gap in the literature for a review of SDN-based energy saving techniques and discuss the limitations of multi-controller solutions in terms of constraints on their performance. The main finding of this survey paper is that the two classes of SDN- based methods, scheduling and flow aggregation, significantly reduce energy consumption in DCNs. We also suggest that Machine Learning has the potential to further improve these classes of solutions and argue that hybrid ML-based solutions are the next frontier for the field. The perspective gained as a consequence of this analysis is that advanced ML-based solutions and multi-controller-based solutions may address the limitations of the state-of-the-art, and should be further explored for energy optimization in DCNs.
Tárgyszavak:	Műszaki tudományok Informatikai tudományok idegen nyelvű folyóiratközlemény hazai lapban folyóiratcikk Data Center Energy Integer Programming Power Consumption Routing Software-Defined Networking
Megjelenés:	Infocommunications Journal. - 15 : Special Issue (2023), p. 35-42. -
További szerzők:	Kovásznai Gergely Malik, Ali de Fréin, Ruairí
Internet cím:	Szerző által megadott URL DOI Intézményi repozitóriumban (DEA) tárolt változat
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