Content delivery networks (CDNs) play an important role in today’s Internet. They serve a large multimedia data over the Internet and resolve the issues of scalability and network congestion. The content providers are no longer the sole generators of the content in CDN system but user are also involved. User generated content (UGC) is emerging as one of the dominant forms in the multimedia industry and is reshaping the way users watch video, with millions of content producers and consumers. In particular, multimedia sites are creating new viewing patterns and social interactions that influence the way users consume data. There also exists various techniques such as collaborative caching, context-aware recommendations, etc. that can help in efficient content delivery. In this paper, we present a survey on various techniques and methods employed in the delivery of multimedia content. We present a way to optimize the system performance, and characterizing the tradeoff between cost and quality of service in content delivery.

Content delivery networks, data mining, quality of service, UGC, user behaviour

[1] Zhi Wang, WenwuZhu,Minghua Chen, Lifeng Sun and Shiqiang Yang,"CPCDN: Content Delivery Powered by Context and User Intelligence", IEEE Transactions on Multimedia, Vol. 17, No. 1, January 2015.
[2] M. Cha, H. Kwak, P. Rodriguez, Y. Ahn, and S. Moon, “I tube, you-tube, everybody tubes: Analyzing the World’s Largest User Generated Content Video System”, in Proc. ACM SIGCOMM Conference on Internet Measurement, pp. 1–14, 2007.
[3] F. Chen, K. Guo, J. Lin, and T. La Porta, “Intra-cloud lightning: Building CDNs in the Cloud”, in Proc. IEEE International Conference on Computer Communication, pp. 433–441, Mar. 2012.
[4] A.Datta, K. Dutta, H. Thomas,D.VanderMeer andK.Ramamritham, “Proxy-based Acceleration of Dynamically Generated Content on the World Wide Web:An approach and Implementation”, ACM Transaction onDatabase Systems, vol. 29, no. 2, pp. 403–443, 2004.
[5] H. Liu, Y. Wang, Y. Yang, A. Tian and H. Wang, “Optimizing Cost and Performance for Content Multihoming”, in Proc. ACM SIGCOMM Conference on Applications, technologies, architectures and protocols for computer communication, pp. 371–382, 2012.
[6] I. Poese, B. Frank, B. Ager, G. Smaragdakis and A. Feldmann, “Improving Content Delivery Using Provider-aided Distance Information”, in Proc. ACM SIGCOMM Conference on Internet Measurement, pp. 22–34, 2010.
[7] S. Scellato, C. Mascolo, M. Musolesi and J. Crowcroft, “Track Globally, Deliver Locally: Improving Content Delivery Networks by Tracking Geographic Social Cascades”, in Proc. ACM International Conference on World Wide Web, pp. 457–466, 2011.
[8] G. Szabo and B. A. Huberman, “Predicting the Popularity of Online Content”, Communications of ACM, vol. 53, no. 8, pp. 80–88, 2010.
[9] Z. Wang, L. Sun, X. Chen, W. Zhu, J. Liu, M. Chen and S. Yang, “Propagation-Based Social-Aware Replication for Social Video Contents”, in Proc. ACM International Conference on Multimedia, pp. 29–38, 2012.
[10] H. Yin, X. Liu, T. Zhan, V. Sekar, F. Qiu, C. Lin, H. Zhang and B. Li, “Design and Deployment of a Hybrid CDN-P2P System for Live Video Streaming: Experiences with Livesky”, in Proc. ACM International Conference on Multimedia, pp. 25–34, 2009.