Embedding and reconfiguration algorithms for service aggregation in network virtualization

2014 ◽  
Vol 29 (1) ◽  
pp. 33-46 ◽  
Author(s):  
Yiming Jiang ◽  
Julong Lan ◽  
Zhiming Wang ◽  
Yuanyuan Deng
Keyword(s):  
Network Virtualization ◽  
Service Aggregation

Design and Implementation of Network Virtualization Management System

2014 ◽  
Vol E97.B (11) ◽  
pp. 2286-2301 ◽  
Author(s):  
Yohei KATAYAMA ◽  
Takehito YAMAMOTO ◽  
Yukio TSUKISHIMA ◽  
Kazuhisa YAMADA ◽  
Noriyuki TAKAHASHI ◽  
...  
Keyword(s):  
Management System ◽  
Network Virtualization ◽  
Design And Implementation

scholarly journals Dynamic service aggregation in electronic marketplaces

2001 ◽  
Vol 37 (2) ◽  
pp. 95-109 ◽  
Author(s):  
Giacomo Piccinelli ◽  
Giuliano Di Vitantonio ◽  
Leonid Mokrushin
Keyword(s):  
Electronic Marketplaces ◽  
Service Aggregation

Towards correct network virtualization

2015 ◽  
Vol 44 (4) ◽  
Author(s):  
Soudeh Ghorbani ◽  
Brighten Godfrey
Keyword(s):  
Network Virtualization

A Network Virtualization Framework for IP Infrastructure Provisioning

2011 ◽  
Author(s):  
Bo Peng ◽  
Ali Hammad ◽  
Reza Nejabati ◽  
Siamak Azodolmolky ◽  
Dimitra Simeonidou ◽  
...  
Keyword(s):  
Network Virtualization

scholarly journals A Novel Mobile Video Community Discovery Scheme Using Ontology-Based Semantical Interest Capture

2016 ◽  
Vol 2016 ◽  
pp. 1-12 ◽  
Author(s):  
Ruiling Zhang ◽  
Shengwu Xiong
Keyword(s):  
Network Virtualization ◽  
Estimation Algorithm ◽  
Mobile Video ◽  
Mobile Nodes ◽  
Community Discovery ◽  
Video Sharing ◽  
Video Systems ◽  
Estimate Method ◽  
Common Interests ◽  
Word Selection

Leveraging network virtualization technologies, the community-based video systems rely on the measurement of common interests to define and steady relationship between community members, which promotes video sharing performance and improves scalability community structure. In this paper, we propose a novel mobile Video Community discovery scheme using ontology-based semantical interest capture (VCOSI). An ontology-based semantical extension approach is proposed, which describes video content and measures video similarity according to video key word selection methods. In order to reduce the calculation load of video similarity, VCOSI designs a prefix-filtering-based estimation algorithm to decrease energy consumption of mobile nodes. VCOSI further proposes a member relationship estimate method to construct scalable and resilient node communities, which promotes video sharing capacity of video systems with the flexible and economic community maintenance. Extensive tests show how VCOSI obtains better performance results in comparison with other state-of-the-art solutions.

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