Title | ||
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Multi-objective virtual network embedding algorithm based on Q-learning and curiosity-driven |
Abstract | ||
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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 He | 1 | 5 | 1.79 |
Lei Zhuang | 2 | 5 | 2.47 |
Shuaikui Tian | 3 | 3 | 0.39 |
Guoqing Wang | 4 | 75 | 17.84 |
Kunli Zhang | 5 | 12 | 7.39 |