Multi-objective virtual network embedding algorithm based on Q-learning and curiosity-driven

Network virtualization is a vital technology that helps overcome shortcomings such as network ossification of the current Internet architecture. However, virtual network embedding (VNE) involving the allocation of resources for heterogeneous virtual network requests (VNRs) on the substrate network (...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	EURASIP journal on wireless communications and networking Jg. 2018; H. 1; S. 1 - 12
Hauptverfasser:	He, Mengyang, Zhuang, Lei, Tian, Shuaikui, Wang, Guoqing, Zhang, Kunli
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Cham Springer International Publishing 15.06.2018 Springer Nature B.V SpringerOpen
Schlagworte:	Algorithms Communications Engineering Curiosity-driven Data mining Embedding Energy conservation Energy consumption Energy-aware Engineering Falling Information Systems Applications (incl.Internet) Integer programming Machine learning Markov processes Multiple objective analysis Network virtualization Networks Optimization Q-learning Recent Challenges & Avenues in Wireless Communication through Advance computational Intelligence or Deep learning methods Signal,Image and Speech Processing Substrates Virtual networks Q-learning Network virtualization Energy-aware Curiosity-driven
ISSN:	1687-1499, 1687-1472, 1687-1499
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!