Content distribution in information centric network: Economic incentive analysis in game theoretic approach

Mohammad Arifuzzaman, Keping Yu, Takuro Sato

Research output: Chapter in Book/Report/Conference proceedingConference contribution

8 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationProceedings of the 2014 ITU Kaleidoscope Academic Conference: Living in a Converged World - Impossible Without Standards?, K 2014
PublisherIEEE Computer Society
Pages215-220
Number of pages6
ISBN (Print)9789261144210
DOIs
Publication statusPublished - 2014
Event2014 6th ITU Kaleidoscope Academic Conference: Living in a Converged World - Impossible Without Standards?, K 2014 - St. Petersburg
Duration: 2014 Jun 32014 Jun 5

Other

Other2014 6th ITU Kaleidoscope Academic Conference: Living in a Converged World - Impossible Without Standards?, K 2014
CitySt. Petersburg
Period14/6/314/6/5

    Fingerprint

Keywords

  • Content Delivery Network
  • Game theory
  • Information Centric Networks
  • Standardization

ASJC Scopus subject areas

  • Computer Networks and Communications

Cite this

Arifuzzaman, M., Yu, K., & Sato, T. (2014). Content distribution in information centric network: Economic incentive analysis in game theoretic approach. In Proceedings of the 2014 ITU Kaleidoscope Academic Conference: Living in a Converged World - Impossible Without Standards?, K 2014 (pp. 215-220). [6858467] IEEE Computer Society. https://doi.org/10.1109/Kaleidoscope.2014.6858467