Study on the Stability of Virtual Network Mapping Algorithm Based on the Improved Genetic Algorithm

Jun Wei Ge; Yun Yu; Yi Qiu Fang

doi:10.4028/www.scientific.net/AMR.926-930.3696

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 926-930Study on the Stability of Virtual Network Mapping...

Study on the Stability of Virtual Network Mapping Algorithm Based on the Improved Genetic Algorithm

Abstract:

A based on the improved genetic algorithm of the stability is presented, for the current virtual network mapping study based on the underlying resources load imbalance. The algorithm consider for the constraint of the underlying physical node, link resources and the parameters of virtual network requests. Join control threshold α to decide to accept the request. Use the improved genetic algorithm to automatically adapt to the current load overheating network node, choose the best physical link and line up a virtual mapping. As can be seen through the analysis of simulation results, the algorithm can process the request maps faster than others algorithm, improve the stability and the load balancing capability.

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Periodical:

Advanced Materials Research (Volumes 926-930)

Pages:

3696-3700

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.926-930.3696

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Online since:

May 2014

Authors:

Jun Wei Ge*, Yun Yu, Yi Qiu Fang

Keywords:

Genetic Algorithm (GA), Load Balancing, Mapping Algorithm, Network Virtualization, Virtual Network

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* - Corresponding Author

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