Improving Content Delivery by Exploiting the Utility of CDN Servers

  • George Pallis
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7450)


As more aspects of our work and life move online and the Internet expands beyond a communication medium to become a platform for business and society, Content Delivery Networks (CDNs) have recently gained momentum in the Internet computing landscape. Today, a large portion of Internet traffic is originating from CDNs. The ultimate success of CDNs requires novel policies that would address the increasing demand for content. Here we exploit the CDN utility - a metric that captures the traffic activity in a CDN, expressing the usefulness of surrogate servers in terms of data circulation in the network. We address the content replication problem by replicating content across a geographically distributed set of servers and redirect users to the closest server in terms of CDN utility. Through a detailed simulation environment, using real and synthetically generated data sets we show that the proposed approach can improve significantly the performance of Internet-based content delivery.


Internet-based Content Delivery Replication CDN pricing 


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  1. 1.
    Hosanagar, K., Chuang, J., Krishnan, R., Smith, M.D.: Service adoption and pricing of content delivery network (cdn) services. Manage. Sci. 54, 1579–1593 (2008)CrossRefMATHGoogle Scholar
  2. 2.
    Huang, C., Wang, A., Li, J., Ross, K.W.: Measuring and evaluating large-scale cdns paper withdrawn at mirosoft’s request. In: Proceedings of the 8th ACM SIGCOMM Conference on Internet Measurement, IMC 2008, pp. 15–29. ACM, New York (2008)Google Scholar
  3. 3.
    Kangasharju, J., Roberts, J., France Tlcom, R., Ross, K.W., Antipolis, S., Antipolis, S.: Object replication strategies in content distribution networks. Computer Communications, 367–383 (2001)Google Scholar
  4. 4.
    Katsaros, D., Pallis, G., Stamos, K., Vakali, A., Sidiropoulos, A., Manolopoulos, Y.: Cdns content outsourcing via generalized communities. IEEE Transactions on Knowledge and Data Engineering 21(1), 137–151 (2009)CrossRefGoogle Scholar
  5. 5.
    Krishnan, R., Madhyastha, H.V., Srinivasan, S., Jain, S., Krishnamurthy, A., Anderson, T., Gao, J.: Moving beyond end-to-end path information to optimize cdn performance. In: Proceedings of the 9th ACM SIGCOMM Conference on Internet Measurement Conference, IMC 2009, pp. 190–201. ACM, New York (2009)CrossRefGoogle Scholar
  6. 6.
    Pallis, G., Stamos, K., Vakali, A., Katsaros, D., Sidiropoulos, A., Manolopoulos, Y.: Replication based on objects load under a content distribution network. In: 22nd International Conference on Data Engineering Workshops, p. 53 (2006)Google Scholar
  7. 7.
    Pallis, G., Vakali, A., Stamos, K., Sidiropoulos, A., Katsaros, D., Manolopoulos, Y.: A latency-based object placement approach in content distribution networks. Web Congress, Latin American, 140–147 (2005)Google Scholar
  8. 8.
    Pathan, M., Broberg, J., Buyya, R.: Maximizing Utility for Content Delivery Clouds. In: Vossen, G., Long, D.D.E., Yu, J.X. (eds.) WISE 2009. LNCS, vol. 5802, pp. 13–28. Springer, Heidelberg (2009)CrossRefGoogle Scholar
  9. 9.
    Pathan, M., Buyya, R.: A utility model for peering of multi-provider content delivery services. In: IEEE 34th Conference on Local Computer Networks, LCN 2009, pp. 475–482 (October 2009)Google Scholar
  10. 10.
    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, UPGRADE-CN 2009, pp. 11–20. ACM, New York (2009)CrossRefGoogle Scholar
  11. 11.
    Stamos, K., Pallis, G., Vakali, A., Katsaros, D., Sidiropoulos, A., Manolopoulos, Y.: Cdnsim: A simulation tool for content distribution networks. ACM Trans. Model. Comput. Simul. 20, 10:1–10:40 (2010)CrossRefGoogle Scholar
  12. 12.
    Tangpong, A., Kesidis, G.: A simple reputation model for bittorrent-like incentives. In: International Conference on Game Theory for Networks, GameNets 2009, pp. 603–610 (May 2009)Google Scholar
  13. 13.
    ul Islam, S., Stamos, K., Pierson, J.-M., Vakali, A.: Utilization-Aware Redirection Policy in CDN: A Case for Energy Conservation. In: Kranzlmüller, D., Toja, A.M. (eds.) ICT-GLOW 2011. LNCS, vol. 6868, pp. 180–187. Springer, Heidelberg (2011)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • George Pallis
    • 1
  1. 1.Computer Science DepartmentUniversity of CyprusCyprus

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