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Content Provider | IEEE Xplore Digital Library |
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Author | Yanni Han Zihou Wang Hui Tang Song Ci |
Copyright Year | 2012 |
Description | Author affiliation: High Performance Network Laboratory Institute of Acoustics, Chinese Academy of Sciences, Beijing, China (Yanni Han; Zihou Wang; Hui Tang; Song Ci) |
Abstract | As a long term solution to the gradual Internet ossification problem, virtual networks can guarantee on-demand requirements of diverse end user on a global level. Clearly it is a major challenge to achieve the automation and optimization of network management like virtual resources or QoS to ensure the personalized user satisfaction. In this article, we propose a novel cognitive management architecture to meet the future needs under a heterogeneous network environment. The architecture introduces a cognitive management cycle to the virtual network resources to ensure flexibility. We also focus on the efficient virtual network resource allocation and scheduling algorithms. Based on the complex network centrality analysis, we solve the virtual network resources allocation problem with consideration of the topology structure and statistical analysis. Finally we evaluate the efficiency and effectiveness of our algorithm on common benchmarks including the acceptance, revenue and cost. |
Starting Page | 835 |
Ending Page | 841 |
File Size | 333919 |
Page Count | 7 |
File Format | |
ISBN | 9781467349420 |
e-ISBN | 9781467349413 |
e-ISBN | 9781467349406 |
DOI | 10.1109/GLOCOMW.2012.6477684 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2012-12-03 |
Publisher Place | USA |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Cognitive cycle Network topology Data models Topology Node centrality Future Internet Resource management Virtualization Virtual network Substrates Optimization |
Content Type | Text |
Resource Type | Article |
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