DocumentCode :
2172277
Title :
Scalable Keyword-Based Data Retrievals in Future Content-Centric Networks
Author :
Ying Mao ; Bo Sheng ; Mooi Choo Chuah
Author_Institution :
Dept. of Comput. Sci., Univ. of Massachusetts Boston, Boston, MA, USA
fYear :
2012
fDate :
14-16 Dec. 2012
Firstpage :
116
Lastpage :
123
Abstract :
The emergence of powerful mobile devices has allowed users to publish more contents in the Internet in recent years. The existing Internet architecture cannot cope with such exponential growth in users published contents. Content-centric networks have been proposed recently to allow future Internet to be data-centric rather than network centric. Several content centric networking approaches have been proposed, but most of them assume that users know the unique identifiers of the contents that are of interests to them. SECON [1] proposed a content centric mobile network solution that provides keyword based retrievals. However, the authors do not provide detailed description on how their solution can be made scalable. In this paper, we propose two scalable solutions for keyword based retrievals in content centric networks. Our preliminary simulation results indicate that our solutions are scalable.
Keywords :
Internet; content-based retrieval; mobile radio; smart phones; Internet architecture; SECON; content centric mobile network solution; content centric networking approaches; content centric networks; content-centric networks; data-centric; detailed description; keyword based retrievals; network centric; powerful mobile devices; published contents; scalable keyword-based data retrievals;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Mobile Ad-hoc and Sensor Networks (MSN), 2012 Eighth International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4673-5808-8
Type :
conf
DOI :
10.1109/MSN.2012.36
Filename :
6516474
Link To Document :
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