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Journal Article Towards Opening Network Knowledge for User-centric Services in NGN
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Authors
Yoo-mi PARK, Aekyung MOON, Byung-sun LEE, Sangha KIM
Issue Date
2011-09
Citation
IEICE Transactions on Communications, v.E94.B, no.9, pp.2501-2510
ISSN
0916-8516
Publisher
일본, 전자정보통신학회 (IEICE)
Language
English
Type
Journal Article
DOI
https://dx.doi.org/10.1587/transcom.E94.B.2501
Project Code
10MI3200, Development of Customer Oriented Convergent Service Common Platform Technology based on Network, Lee Byung Sun
Abstract
In this paper, we propose a Network Knowledge Layer (NKL) that is a service platform overlaid onto the existing networks to provide network knowledge for user-centric services in the Next Generation Network (NGN). Most traditional networks lack capabilities for accommodating user-centric service paradigm. Taking this into consideration, the proposed NKL has capabilities to acquire contextual information from various sources, to evolve this information with legacy information into high-level knowledge, and to expose the high-level knowledge to entities outside the network. For easy knowledge exposure, we specify a set of abstracted application programming interfaces (APIs). For efficient handling of network knowledge accessed by the APIs, we design and compare the three different network knowledge models. With the proposed APIs and the three knowledge models, we accomplish the experimental performance evaluation of NKL to verify its feasibility. The results of the various tests on knowledge models and APIs give good guidelines for efficient design and exposing network knowledge in developing a user-centric service platform. Finally, we expect NKL can support the effective development and execution of user-centric services by providing rich network knowledge with the APIs. Copyright © 2011 The Institute of Electronics, Information and Communication Engineers.
KSP Keywords
Application programming interface, Contextual information, Information and communication, Next generation networks(NGN), Performance evaluation, efficient design, experimental performance, knowledge model, service platform, user-centric service