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Publikācija: Coloured Petri Nets Based Simulation Scheme for Adaptive Bandwidth Management

Publication Type Full-text conference paper published in conference proceedings indexed in SCOPUS or WOS database
Funding for basic activity Unknown
Defending: ,
Publication language English (en)
Title in original language Coloured Petri Nets Based Simulation Scheme for Adaptive Bandwidth Management
Field of research 2. Engineering and technology
Sub-field of research 2.2 Electrical engineering, Electronic engineering, Information and communication engineering
Authors Jūlija Asmuss
Gunārs Lauks
Keywords Bandwidth Allocation Problem, Coloured Petri Nets, Simulation
Abstract We consider the problem of resource allocation for multiple classes of traffic in a substrate network with DaVinci architecture. According to DaVinci (Dynamically Adaptive Virtual Networks for a Customized Internet) approach a single physical network can support multiple traffic classes with different performance objectives by means of multiple virtual networks constructed over the physical one. In this context the problem of bandwidth allocation is a conditional maximization problem for the aggregate performance of all virtual networks. We describe Coloured Petri Nets (CPN) based models and present CPN based schemes for simulation of dynamically adaptive bandwidth allocation mechanisms proposed to support multiple traffics in a substrate network. The simulation study focuses on two traffic types: delay sensitive and throughput sensitive. Obtained simulation results demonstrate the achievement of dynamically adaptive bandwidth management strategies.
Hyperlink: http://aict.itf.llu.lv/files/rakstkraj/2013/Asmuss_AICT2013.pdf 
Reference Asmuss, J., Lauks, G. Coloured Petri Nets Based Simulation Scheme for Adaptive Bandwidth Management. In: Proceedings of the 6th International Conference on Applied Information and Communication Technology, Latvia, Jelgava, 25-26 April, 2013. Jelgava: Latvia University of Agriculture, 2013, pp.98-102. ISSN 2255-8586.
Additional information Citation count:
  • Scopus  0
ID 16444