Paper Info
Title
An Ant Colony Optimization Algorithm for Virtual Network Embedding.
Abstract
Virtual network embedding that embedding virtual network in substrate network is usually mentioned as resource allocation problem in network virtualization. Virtual network embedding can be employed to solve the problems like resource constraint, access control, request online and diversity of topology. This paper develops an ant colony optimization algorithm of virtual network embedding (ACO-VNE). The ants secrete and update pheromones in node mapping according to the cost of link mapping. Based on feedback information, the ants move to find good solution through learning from each other. Simulation results suggest that the algorithm can map the virtual network with low rejection rate and high revenue of substrate network.
Year
DOI
Venue
2014
10.1007/978-3-319-11197-1_23
ALGORITHMS AND ARCHITECTURES FOR PARALLEL PROCESSING, ICA3PP 2014, PT I
Keywords
Field
DocType
Network virtualization,virtual network embedding,path splitting,ant colony optimization
Ant colony optimization algorithms,Virtual network,Embedding,Computer science,Algorithm,Resource allocation,Access control,Virtual network embedding,Network virtualization,Rejection rate,Distributed computing
Conference
Volume
ISSN
Citations 
8630
0302-9743
1
PageRank 
References 
Authors
0.36
12
3
Name
Order
Citations
PageRank
Wenjie Cao110.36
Hua Wang2172.99
Lei Liu392.77