Paper Info
Title
Qos Oriented Embedding For Network Virtualization
Abstract
Network virtualization (NV) is an indispensable approach to handle the ossification of current Internet. Previous research has been conducted concerning the implementation issues like heuristic-based mapping algorithms, yet little has focused on quality of service (QoS) for end users who launch virtual network (VN) requests, and revenue both service providers and infrastructure providers can obtain. Through experiments we find that with the same mapping algorithm, varying mapping order tends to bring about different substrate resources allocation and correspondingly, different acceptance ratio and revenue. However, existing research has not yet paid enough attention to this issue. In this paper, we address the issue by proposing a new and comprehensive revenue model, which is employed as a ranking criterion for VN requests before mapping. Additionally, we define the notion of fairness ratio to quantify the QoS that our model centers. The evaluation results show that our practice outperforms exiting ones with desirable fairness and user satisfaction along with higher revenue and increased acceptance ratio (6.5%).
Year
DOI
Venue
2016
10.1109/DASC-PICom-DataCom-CyberSciTec.2016.119
2016 IEEE 14TH INTL CONF ON DEPENDABLE, AUTONOMIC AND SECURE COMPUTING, 14TH INTL CONF ON PERVASIVE INTELLIGENCE AND COMPUTING, 2ND INTL CONF ON BIG DATA INTELLIGENCE AND COMPUTING AND CYBER SCIENCE AND TECHNOLOGY CONGRESS (DASC/PICOM/DATACOM/CYBERSC
Keywords
Field
DocType
Virtual Network Embedding, QoS, Network Virtualization, Queuing
Virtualization,Revenue,Virtual network,Computer science,Quality of service,Computer network,Service provider,Revenue model,Network virtualization,Cloud computing,Distributed computing
Conference
Citations 
PageRank 
References 
1
0.36
11
Authors
5
Name
Order
Citations
PageRank
Xu Li129746.09
Li Hui217334.14
Sun Jingting311.04
Pan Kai444.47
Zhang Guanghui530.73