Virtual network mapping - an optimization problem

First published in
Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering  
Number in series
97 LNICST
Start Page
187
End Page
200
Citation
Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering 97 LNICST: 187-200 (2012-07-27)
Publisher DOI
10.1007/978-3-642-30422-4_14
Scopus ID
2-s2.0-84869597371
Publisher
Springer
Network Virtualization is claimed to be a key component of the Future Internet by enabling the coexistence of heterogeneous (virtual) networks on the same physical infrastructure, providing the dynamic creation and support of different networks with different paradigms and mechanisms in the same physical network. A major challenge in the dynamic provision of virtual networks resides on the efficient embedding of virtual resources into physical ones. Since this problem is known to be -hard, previous research focused on designing heuristic-based algorithms; most of them do not consider a simultaneous optimization of the node and the link mapping, leading to non-optimal solutions. This paper proposes an integer linear programming formulation to solve the virtual network embedding problem, as a simultaneous optimization of virtual nodes and links placement, providing the optimal boundary for each virtual network mapping. A link∈-∈node formulation is used and the multi-commodity flow constrain is applied. In addition, a heuristic algorithm for virtual network embedding is also proposed and compared against the optimal formulation. The performance of the integer linear programming formulation and of the heuristic is evaluated by means of simulation. Simulation experiments show significant improvements of the virtual network acceptance ratio, in average additional 10% of the virtual network requests are accepted when using the integer linear programming formulation, which corresponds, in average, to more 7 virtual networks accommodated on the physical network. © 2012 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering.
Subjects
Embedding
ILP Model
Mapping
NP-hard
Optimization
Virtual Networks
DDC Class
004: Informatik
More Funding Information
The author was supported by the Portuguese Foundation for Science and Technology (FCT) with a scholarship No. SFRH/BDE/33751/2009.