A Game-Theoretic Approach for the Internet Content Distribution Chain

  • Driss Ait OmarEmail author
  • Mohamed El Amrani
  • Mohamed Baslam
  • Mohamed Fakir
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11028)


Currently, commercial CDN providers have become major actors in the Internet content distribution chain. They serve a large portion of the Internet traffic since they allow an efficient user-perceived response time and availability of content. In this paper, we consider an ecosystem that contains content providers CPs as customers of content distribution network providers CDNs. The content distribution network seeks to attract more content providers by offering them prices to save and distribute their contents to end users with better QoS. Thus, the quality and price of the content, which are considered in this study as decision parameters for content providers have an indirect impact on the revenue of the CDN. Once the content of a CP is stored in the CDN content replication servers, the CDN is the delivery manager of this content to all end users’ requests; for this another common parameter is added to our modeling and it determines the share of the CDN that the CP wins requests from users on this content. After formulating non-cooperative games, we have demonstrated the existence and uniqueness of the Nash equilibrium and used the best response dynamic algorithm to make a numerical analysis to the problems. We were able to learn that when the game between the CDNs is socially optimal, the CPs win more and vice versa in the case where the game becomes a monopoly.


Content delivery CDN Content provider Non-cooperative game Nash equilibrium Price of anarchy 


  1. 1.
    Cisco Visual Networking Index: Forecast and Methodology, 20162021. Technical report (2017)Google Scholar
  2. 2.
    Ait Omar, D., Outanoute, M., Baslam, M., Fakir, M., Bouikhalne, B.: Joint price and QoS competition with bounded rational customers. In: El Abbadi, A., Garbinato, B. (eds.) NETYS 2017. LNCS, vol. 10299, pp. 457–471. Springer, Cham (2017). Scholar
  3. 3.
    Baslam, M., El-Azouzi, R., Sabir, E., Echabbi, L.: Market share game with adversarial access providers: a neutral and a non-neutral network analysis. In: 2011 5th International Conference on Network Games, Control and Optimization (NetGCooP), pp. 1–6. IEEE (2011)Google Scholar
  4. 4.
    Gourdin, E., Maill, P., Simon, G., Tuffin, B.: The economics of CDNs and Their impact on service fairness. IEEE Trans. Netw. and Ser. Manag. 14(1), 22–33 (2017). Scholar
  5. 5.
    Koutsoupias, E., Papadimitriou, C.: Worst-case equilibria. Comput. Sci. Rev. 3(2), 65–69 (2009)CrossRefGoogle Scholar
  6. 6.
    Maille, P., Simon, G., Tuffin, B.: Toward a net neutrality debate that conforms to the 2010s. IEEE Commun. Mag. 54(3), 94–99 (2016)CrossRefGoogle Scholar
  7. 7.
    Maille, P., Simon, G., Tuffin, B.: Vertical integration of CDN and network operator: model and analysis, pp. 189–195. IEEE, Sepember 2016.
  8. 8.
    Maillé, P., Tuffin, B.: How do content delivery networks affect the economy of the internet and the network neutrality debate? In: Altmann, J., Vanmechelen, K., Rana, O.F. (eds.) GECON 2014. LNCS, vol. 8914, pp. 222–230. Springer, Cham (2014). Scholar
  9. 9.
    Milgrom, P., Roberts, J.: Rationalizability, learning, and equilibrium in games with strategic complementarities. Econometrica 58(6), 1255–1277 (1990)MathSciNetCrossRefGoogle Scholar
  10. 10.
    Moulin, H.: On the uniqueness and stability of Nash equilibrium in non-cooperative games. In: Benoussan, A., Kleindorfer, P.R., Tapiero, C.S. (eds.) Applied Stochastic Control in Econometrics and Management Science, p. 271. North-Holland Publishing Company, Amsterdam (1980)Google Scholar
  11. 11.
    Pathan, A.M.K., Buyya, R.: A taxonomy and survey of content delivery networks. Technical Report 4, Grid Computing and Distributed Systems Laboratory, University of Melbourne (2007)Google Scholar
  12. 12.
    Rosen, J.B.: Existence and uniqueness of equilibrium points for concave N-person games. Econometrica 33(3), 520–534 (1965). Scholar
  13. 13.
    Sahoo, J., Salahuddin, M., Glitho, R., Elbiaze, H., Ajib, W.: A survey on replica server placement algorithms for content delivery networks. IEEE Commun. Surv. Tutor. 19, 1002–1026 (2016)CrossRefGoogle Scholar
  14. 14.
    Stamos, K., Pallis, G., Vakali, A., Dikaiakos, M.D.: Evaluating the utility of content delivery networks. In: Proceedings of the 4th Edition of the UPGRADE-CN Workshop on Use of P2P, GRID and Agents for the Development of Content Networks, pp. 11–20. ACM (2009)Google Scholar
  15. 15.
    Stocker, V., Smaragdakis, G., Lehr, W., Bauer, S.: The growing complexity of content delivery networks: challenges and implications for the Internet ecosystem. Telecommun. Policy 41(10), 1003–1016 (2017). Scholar
  16. 16.
    Tuffin, B.: Network neutrality: modeling and challenges and its impact on clouds. In: Pham, C., Altmann, J., Bañares, J.Á. (eds.) GECON 2017. LNCS, vol. 10537, pp. 277–280. Springer, Cham (2017). Scholar

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© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Information Processing and Decision Support Laboratory, Faculty of Sciences and TechnicsUniversity of Sultan Moulay SlimaneBeni MellalMorocco

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