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Article: A fast ant colony optimization based embedding algorithm for virtual network
Title | A fast ant colony optimization based embedding algorithm for virtual network |
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Authors | |
Keywords | Network virtualization Gaussian process Ant colony optimization Virtual network embedding |
Issue Date | 2013 |
Citation | Journal of Computational Information Systems, 2013, v. 9, n. 17, p. 7115-7122 How to Cite? |
Abstract | Aiming at optimizing the efficiency of resource utilization, a new fast ant colony optimization based embedding algorithm for virtual network (VNE-FACO) is proposed under the assumption that substrate network doesn't needs to support the path splitting. By introducing the Gaussian process model, the convergence rate of ant colony optimization algorithm is accelerated to meet the practical real-time requirements. The resource cost of virtual network embedding is considered as the fitness function and the parameters are redefined according to the embedding problem. Experimental results show that VNE-FACO can reduce the computation time significantly with the same accuracy compared with existing researches. © 2013 Binary Information Press. |
Persistent Identifier | http://hdl.handle.net/10722/296085 |
ISSN |
DC Field | Value | Language |
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dc.contributor.author | Li, Ling | - |
dc.contributor.author | Chen, He | - |
dc.contributor.author | Du, Zhanwei | - |
dc.contributor.author | Ma, Chuang | - |
dc.date.accessioned | 2021-02-11T04:52:48Z | - |
dc.date.available | 2021-02-11T04:52:48Z | - |
dc.date.issued | 2013 | - |
dc.identifier.citation | Journal of Computational Information Systems, 2013, v. 9, n. 17, p. 7115-7122 | - |
dc.identifier.issn | 1553-9105 | - |
dc.identifier.uri | http://hdl.handle.net/10722/296085 | - |
dc.description.abstract | Aiming at optimizing the efficiency of resource utilization, a new fast ant colony optimization based embedding algorithm for virtual network (VNE-FACO) is proposed under the assumption that substrate network doesn't needs to support the path splitting. By introducing the Gaussian process model, the convergence rate of ant colony optimization algorithm is accelerated to meet the practical real-time requirements. The resource cost of virtual network embedding is considered as the fitness function and the parameters are redefined according to the embedding problem. Experimental results show that VNE-FACO can reduce the computation time significantly with the same accuracy compared with existing researches. © 2013 Binary Information Press. | - |
dc.language | eng | - |
dc.relation.ispartof | Journal of Computational Information Systems | - |
dc.subject | Network virtualization | - |
dc.subject | Gaussian process | - |
dc.subject | Ant colony optimization | - |
dc.subject | Virtual network embedding | - |
dc.title | A fast ant colony optimization based embedding algorithm for virtual network | - |
dc.type | Article | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.12733/jcis7054 | - |
dc.identifier.scopus | eid_2-s2.0-84886283973 | - |
dc.identifier.volume | 9 | - |
dc.identifier.issue | 17 | - |
dc.identifier.spage | 7115 | - |
dc.identifier.epage | 7122 | - |
dc.identifier.issnl | 1553-9105 | - |