Model-driven Development of Virtual Network Embedding Algorithms with Model Transformation and Linear Optimization Techniques
| dc.contributor.author | Tomaszek, Stefan | |
| dc.contributor.author | Leblebici, Erhan | |
| dc.contributor.author | Wang, Lin | |
| dc.contributor.author | Schürr, Andy | |
| dc.contributor.editor | Schaefer, Ina | |
| dc.contributor.editor | Karagiannis, Dimitris | |
| dc.contributor.editor | Vogelsang, Andreas | |
| dc.contributor.editor | Méndez, Daniel | |
| dc.contributor.editor | Seidl, Christoph | |
| dc.date.accessioned | 2018-01-23T21:43:24Z | |
| dc.date.available | 2018-01-23T21:43:24Z | |
| dc.date.issued | 2018 | |
| dc.description.abstract | Enhancing the scalability and utilization of data centers, virtualization is a promising technology to manage, develop and operate network functions in a flexible way. For the placement of virtual networks in the data center, many approaches and algorithms are discussed in the literature to optimize solving the so-called virtual network embedding problem with respect to various optimization goals. This paper presents a new approach for the model-driven specification, simulation-based evaluation, and implementation of possible mapping algorithms that respect a set of given constraints and using linear optimization solving techniques to select one almost optimal mapping. Rule-based model transformation techniques are used to translate a given mapping problem into a linear optimization problem by taking domain specific knowledge into account. The resulting framework thus supports the design and evaluation of (correct-by-construction) virtual network embedding algorithms on a high level of abstraction. Well-defined model transformation rule refinement strategies can be used to reduce the search space for the employed linear optimization techniques. | en |
| dc.identifier.isbn | 978-3-88579-674-9 | |
| dc.identifier.pissn | 1617-5468 | |
| dc.identifier.uri | https://dl.gi.de/handle/20.500.12116/14957 | |
| dc.language.iso | en | |
| dc.publisher | Gesellschaft für Informatik e.V. | |
| dc.relation.ispartof | Modellierung 2018 | |
| dc.relation.ispartofseries | Lecture Notes in Informatics (LNI) - Proceedings, Volume P-280 | |
| dc.subject | model-driven development | |
| dc.subject | virtual network embedding | |
| dc.subject | triple graph grammar | |
| dc.subject | integer linear programming | |
| dc.subject | data center | |
| dc.title | Model-driven Development of Virtual Network Embedding Algorithms with Model Transformation and Linear Optimization Techniques | en |
| dc.type | Text/Conference Paper | |
| gi.citation.endPage | 54 | |
| gi.citation.publisherPlace | Bonn | |
| gi.citation.startPage | 39 | |
| gi.conference.date | 21.-23. Februar 2018 | |
| gi.conference.location | Braunschweig | |
| gi.conference.sessiontitle | Wissenschaftliche Beiträge |
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