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Content Provider | IEEE Xplore Digital Library |
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Author | Min Feng Jianxin Liao Jingyu Wang Sude Qing Qi Qi |
Copyright Year | 2014 |
Description | Author affiliation: State Key Lab. of Networking & Switching Technol., Beijing Univ. of Posts & Telecommun., Beijing, China (Min Feng; Jianxin Liao; Jingyu Wang; Sude Qing; Qi Qi) |
Abstract | Network Virtualization provides a promising tool to allow multiple heterogeneous virtual networks to run on a shared substrate network simultaneously. A long-standing challenge in Network Virtualization is the Virtual Network Embedding (VNE) problem: how to embed virtual networks onto specific physical nodes and links in the substrate network effectively and efficiently. Recent research presents several heuristic algorithms that only consider single network topological attribute, which may lead to decreased utilization of resources. In this paper, we introduce seven complementary characteristics that reflect different topological attributes, and propose three topology-aware VNE algorithms by leveraging their respective advantages. Due to overall considering topological attributes of substrate and virtual networks through multiple characteristics, our study better coordinates node and link embedding. Extensive simulations demonstrate that our algorithms improve the long-term average revenue, acceptance ratio, and revenue/cost ratio compared to previous algorithms. |
Starting Page | 2956 |
Ending Page | 2962 |
File Size | 393650 |
Page Count | 7 |
File Format | |
ISBN | 9781479920037 |
DOI | 10.1109/ICC.2014.6883774 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2014-06-10 |
Publisher Place | Australia |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Substrates Bandwidth Algorithm design and analysis Network topology Heuristic algorithms Indium phosphide Topology Node Ranking Network Virtualization Virtual Network Embedding Topological Characteristics |
Content Type | Text |
Resource Type | Article |
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