Publications

Model-driven Development of Virtual Network Embedding Algorithms with Model Transformation and Linear Optimization Techniques

Author Stefan Tomaszek, Erhan Leblebici, Lin Wang, Andy Schürr
Date February 2018
Kind Inproceedings
Book titleModellierung
LocationBraunschweig, Germany
KeyTUD-CS-2018-0003
Research Areas Telecooperation, - SUN - Smart Urban Networks
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 the 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 mappings that respect a set of given constraints and using linear optimization solving techniques to select one optimal mapping. It will be shown that specifying algorithms for the virtual network embedding problem is possible by using a high abstraction level and that the search space to solve the problem can be significantly reduced by defining attribute or structural constraints.
[Export this entry to BibTeX]

Important Copyright Notice:

The documents contained in these directories are included by the contributing authors as a means to ensure timely dissemination of scholarly and technical work on a non-commercial basis. Copyright and all rights therein are maintained by the authors or by other copyright holders, notwithstanding that they have offered their works here electronically. It is understood that all persons copying this information will adhere to the terms and constraints invoked by each author's copyright. These works may not be reposted without the explicit permission of the copyright holder.
A A A | Drucken Print | Impressum Impressum | Sitemap Sitemap | Suche Search | Kontakt Contact | Website Analysis: More Information
zum Seitenanfangzum Seitenanfang