Automation and Multi-Objective Optimization of Virtual Network Embedding

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@InProceedings{Martinez-Julia:2021:IM,

• author = "Pedro Martinez-Julia and Ved P. Kafle and Hitoshi Asaeda",
• booktitle = "2021 IFIP/IEEE International Symposium on Integrated Network Management (IM)",
• title = "Automation and Multi-Objective Optimization of Virtual Network Embedding",
• year = "2021",
• pages = "63--71",
• abstract = "The need for automated management is continuously increasing, especially with the advent of network virtualization and slicing technologies. However, finding the optimum configuration for a virtual network before it is embedded onto the substrate network is a problem that cannot be resolved by exact and deterministic mathematical operations. In this paper we propose a novel heuristic for building an algorithm based on genetic programming for optimising the placement of virtual network function instances before they are deployed, so more instances can be deployed on the same substrate network without incurring in overloads and delays. Each solution given by our algorithm is based on a previous solution, following dynamic programming scheme to minimise processing and enforcement efforts. Therefore, the algorithm accomplishes with the time constraints set by current demands. We demonstrate this quality and compare our algorithm to previous solutions, also based on genetic programming and already providing quite fast responses for the embedding problem.",
• keywords = "genetic algorithms, genetic programming, Automation, Heuristic algorithms, Buildings, Dynamic programming, Delays, Time factors",
• URL = "http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=9463978",
• ISSN = "1573-0077",
• month = may,
• notes = "Also known as \cite{9463978}",

}

Genetic Programming entries for Pedro Martinez-Julia Ved P Kafle Hitoshi Asaeda

Citations