DocumentCode
183251
Title
Content distribution in Information Centric Network: Economic incentive analysis in game theoretic approach
Author
Arifuzzaman, M. ; Keping Yu ; Sato, Takao
Author_Institution
Grad. Sch. of Global Inf. & Telecommun. Studies, Waseda Univ., Tokyo, Japan
fYear
2014
fDate
3-5 June 2014
Firstpage
215
Lastpage
220
Abstract
The contributions of this paper are twofold. Firstly, we analyze the decision making problem of caching contents by the network players of Information Centric Networking (ICN) from a game theoretic perspective. We also mention a possible content distribution model for ICN. By our proposed game theory, different network players can find the optimality taking into consideration which benefits them with optimum revenue. Secondly, we present a solution for Live Streaming Media broadcast in ICN and analyze the economic part with a decision tree. We believe, our paper clearly shows the economic incentives for major network players which can stand as a motivation to achieve the faster accommodation of ICN architecture. Besides, we identify some standardization issue in ICN architecture and we emphasize on the need for a common standard for content routers (CR) so that as a node in the ICN, CR ensure scalable content delivery as well as its functionalities match with the Internet open standard philosophy.
Keywords
decision trees; game theory; information networks; CR; ICN architecture; Internet open standard philosophy; content caching; content distribution model; content routers; decision making problem; decision tree; economic incentive analysis; game theoretic approach; information centric networking; live streaming media broadcast; Economics; Games; Internet; Quality of service; Servers; Standardization; Vectors; Content Delivery Network; Game theory; Information Centric Networks; Standardization;
fLanguage
English
Publisher
ieee
Conference_Titel
ITU Kaleidoscope Academic Conference: Living in a converged world - Impossible without standards?, Proceedings of the 2014
Conference_Location
St. Petersburg
Type
conf
DOI
10.1109/Kaleidoscope.2014.6858467
Filename
6858467
Link To Document