Academic Thesis

Basic information

Name Yokohira Tokumi
Belonging department
Occupation name
researchmap researcher code 1000035612
researchmap agency Okayama University of Science

Title

Performance Improvement of a Virtual Network Embedding Algorithm based on Temporal-difference Learning by Resource-Constraint-Aware Candidate Solution Selection

Bibliography Type

Joint Author

Author

Yukinobu Fukushima, Yuta Sagawa, Yuya Tarutani and Tokumi Yokohira

Summary

In this paper, we tackle a virtual network embedding problem in network virtualization. For this problem, an algorithm (VNE-TD) based on temporal difference learning has been proposed. VNE-TD, however, does not consider the node and link resource constraints in selecting the candidate solutions. Therefore, when attempting to construct a virtual network, the embedding of a virtual network may fail due to insufficient resources. In this paper, we modify VNE-TD to select only those candidate solutions that satisfy the node and link resource constraints. We add a function to check the satisfiability of the node and link resource constraints to VNE-TD. The simulation results show that our modified methods reduce the blocking ratio of virtual network requests by up to 80% compared to VNE-TD.

Magazine(name)

IEIE Transactions on Smart Processing and Computing

Publisher

Volume

Vol. 13

Number Of Pages

No. 2

StartingPage

158

EndingPage

166

Date of Issue

2024/04

Referee

Exist

Invited

Language

Thesis Type

Research papers (academic journals)

ISSN

DOI

10.5573/IEIESPC.2024.13.2.158

NAID

PMID

URL

J-GLOBAL ID

arXiv ID

ORCID Put Code

DBLP ID