Placement Optimization of Virtual Network Functions in a Cloud Computing Environment
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| Pubblicato in: | Journal of Network and Systems Management vol. 32, no. 2 (Apr 2024), p. 39 |
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| Autore principale: | |
| Altri autori: | , |
| Pubblicazione: |
Springer Nature B.V.
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| Soggetti: | |
| Accesso online: | Citation/Abstract Full Text - PDF |
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| 100 | 1 | |a Said, Imad Eddine |u University of Bejaia, Research Unit LaMOS, Faculty of Exact Sciences, Bejaia, Algeria (GRID:grid.442401.7) (ISNI:0000 0001 0690 7656) | |
| 245 | 1 | |a Placement Optimization of Virtual Network Functions in a Cloud Computing Environment | |
| 260 | |b Springer Nature B.V. |c Apr 2024 | ||
| 513 | |a Journal Article | ||
| 520 | 3 | |a The use of Network Function Virtualization is constantly increasing in Cloud environments, especially for next-generation networks such as 5G. In this context, the definition of a deployment scheme defining for each Virtual Network Function (VNF) the appropriate server in order to meet the quality of service requirements. This problem is known in the literature as virtual fetwork function placement. However, proper deployment of VNFs on servers can minimize the number of servers used, but may increase service latency. In this article, we propose a multi-objective integer linear programming model to solve the problem of network function placement. The objective is to find the best compromise between minimizing end-to-end total latency for users and reducing the number of servers used, while ensuring that the maximum number of VNFs is connected in the network. Our proposal to solve the NP-hard problem involves developing an algorithm based on the Particle Swarm Optimization metaheuristic to obtain a polynomial time resolution. By performing tests on a simple VNF deployment problem, we validated the relevance of our optimization model and demonstrated the effectiveness of our algorithm. The results obtained showed that our method provides feasible solutions very close to the exact optimal solutions. | |
| 653 | |a Network function virtualization | ||
| 653 | |a Linear programming | ||
| 653 | |a Particle swarm optimization | ||
| 653 | |a Placement | ||
| 653 | |a Servers | ||
| 653 | |a Integer programming | ||
| 653 | |a Quality of service architectures | ||
| 653 | |a Cloud computing | ||
| 653 | |a Optimization | ||
| 653 | |a Polynomials | ||
| 653 | |a Network latency | ||
| 653 | |a Algorithms | ||
| 653 | |a Virtual networks | ||
| 653 | |a Heuristic methods | ||
| 653 | |a Optimization models | ||
| 653 | |a Function | ||
| 653 | |a Latency | ||
| 653 | |a Function words | ||
| 653 | |a Deployment | ||
| 653 | |a Networks | ||
| 653 | |a Quality of service | ||
| 700 | 1 | |a Sayad, Lamri |u University of M’sila, Laboratory of Informatics and its Applications of M’sila (LIAM), Faculty of Mathematics and Computer Science, M’sila, Algeria (GRID:grid.442401.7) | |
| 700 | 1 | |a Aissani, Djamil |u University of Bejaia, Research Unit LaMOS, Faculty of Exact Sciences, Bejaia, Algeria (GRID:grid.442401.7) (ISNI:0000 0001 0690 7656) | |
| 773 | 0 | |t Journal of Network and Systems Management |g vol. 32, no. 2 (Apr 2024), p. 39 | |
| 786 | 0 | |d ProQuest |t ABI/INFORM Global | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/3015024567/abstract/embedded/6A8EOT78XXH2IG52?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text - PDF |u https://www.proquest.com/docview/3015024567/fulltextPDF/embedded/6A8EOT78XXH2IG52?source=fedsrch |