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
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;
Conference_Titel :
ITU Kaleidoscope Academic Conference: Living in a converged world - Impossible without standards?, Proceedings of the 2014
Conference_Location :
St. Petersburg
DOI :
10.1109/Kaleidoscope.2014.6858467