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A forwarding graph embedding algorithm exploiting regional topology information

Network function virtualization (NFV) is a newly proposed technique designed to construct and manage network functions dynamically and efficiently. Allocating physical resources to the virtual network function forwarding graph is a critical issue in NFV. We formulate the forwarding graph embedding (...

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Bibliographic Details
Published in:Frontiers of information technology & electronic engineering 2017-11, Vol.18 (11), p.1854-1866
Main Authors: Hu, Hong-chao, Zhang, Fan, Mao, Yu-xing, Wang, Zhen-peng
Format: Article
Language:English
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Summary:Network function virtualization (NFV) is a newly proposed technique designed to construct and manage network functions dynamically and efficiently. Allocating physical resources to the virtual network function forwarding graph is a critical issue in NFV. We formulate the forwarding graph embedding (FGE) problem as a binary integer programming problem, which aims to increase the revenue and decrease the cost to a service provider (SP) while considering limited network resources and the requirements of virtual functions. We then design a novel regional resource clustering metric to quantify the embedding potential of each substrate node and propose a topology-aware FGE algorithm called ‘regional resource clustering FGE’ (RRC-FGE). After implementing our algorithms in C++, simulation results showed that the total revenue was increased by more than 50 units and the acceptance ratio by more than 15%, and the cost of the service provider was decreased by more than 60 units.
ISSN:2095-9184
2095-9230
DOI:10.1631/FITEE.1601404