JOURNAL ARTICLE

A distributed, parallel, and generic virtual network embedding framework

Abstract

One of the main challenges of network virtualization is the mapping of virtual network demands to physical network resources, commonly known as the virtual network embedding (VNE) problem. This paper introduces DPVNE, a distributed, parallel and generic VNE framework. DPVNE can be used 1) to run various cost-reducing embedding algorithms 2) in a distributed way. Thereby, computational load for embedding multiple virtual networks is spread across the substrate network reducing workload of individual nodes and 3) enabling the embedding of multiple virtual networks in parallel. DPVNE, in contrast to existing distributed algorithms, 4) achieves lower message overhead and, despite of being distributed, 5) keeps embedding costs comparable to those of centralized approaches.

Keywords:
Computer science Network virtualization Distributed computing Embedding Virtual network Overhead (engineering) Virtualization Workload Load balancing (electrical power) Computer network Node (physics) Cloud computing Operating system Artificial intelligence

Metrics

37
Cited By
6.52
FWCI (Field Weighted Citation Impact)
9
Refs
0.97
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Software-Defined Networks and 5G
Physical Sciences →  Computer Science →  Computer Networks and Communications
Advanced Optical Network Technologies
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Network Traffic and Congestion Control
Physical Sciences →  Computer Science →  Computer Networks and Communications

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