Title
Multi-objective virtual network embedding algorithm based on Q-learning and curiosity-driven
Abstract
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 (SN) is considered as NP-hard problem. VNE process may involve conflicting objectives, including energy saving and VNR acceptance rate as the most critical.
Year
DOI
Venue
2018
10.1186/s13638-018-1170-x
EURASIP Journal on Wireless Communications and Networking
Keywords
Field
DocType
Network virtualization,Q-learning,Curiosity-driven,Energy-aware
Virtual network,Curiosity,Computer science,Q-learning,Computer network,Internet architecture,Acceptance rate,Resource allocation,Virtual network embedding,Network virtualization
Journal
Volume
Issue
ISSN
2018
1
1687-1499
Citations 
PageRank 
References 
3
0.39
13
Authors
5
Name
Order
Citations
PageRank
Mengyang He151.79
Lei Zhuang252.47
Shuaikui Tian330.39
Guoqing Wang47517.84
Kunli Zhang5127.39