Abstract
Streaming media has been increasing in the Internet as a popular form of content. However, the streaming media delivery between server and client browser still has problems to be solved, such as the poor processing efficiency in dealing with large concurrent access and the high usage of bandwidth. In particular, large scale video site usually has a large number of distributed server nodes. It is of great importance for the system to respond to users’ request rapidly by choosing the proper video source for users and handling resource cache problem properly. To solve the above problems in streaming media delivery, this paper proposes a content delivery solution. The system consists of several nodes that differ in role function, and streaming media content is stored in these nodes. Users will get an optimized response, and the system selects the nearest node that has the requested video according to logical distance intellectually. The selected node will provide video stream for users. In addition, the system is equipped with a high performance content indexing and searching mechanism. The index is able to retrieve users’ requested resource rapidly and therefore guarantees a good performance in selecting nodes.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Zhu, W., Tiejian, L.: Video content routing in a direct access network. In: Proceedings 2011 3rd Symposium on Web Society (SWS 2011), pp. 147–152. IEEE Press, New York (2011)
Jian, E., Qian, J.: Research of Video Data Transmission Based on the C/S system. Information Technology 28(1), 35–41 (2004)
Ma, R.T., Lee, S., Lui, J., Yau, D.K.: Incentive and service differentiation in P2P networks: a game theoretic approach. IEEE/ACM Transactions on Networking (TON) 14(5), 978–991 (2006)
Wang, Y., Nakao, A., Vasilakos, A.V., Ma, J.: On the effectiveness of service differentiation based resource-provision incentive mechanisms in dynamic and autonomous P2P networks. Computer Networks 55(17), 3811–3831 (2011)
Alex, S., Jason, N., Clifford, S.: FairTorrent: Bringing fairness to peer-to-peer systems. In: Proceedings of the 2009 ACM Conference on Emerging Networking Experiments and Technologies, pp. 133–144 (2009)
Pathan, A.M.K., Buyya, R.: A taxonomy and survey of content delivery networks. University of Melbourne,Technical Report, Grid Computing and Distributed Systems Laboratory(2007)
Content Delivery Network. http://en.wikipedia.org/wiki/Content_delivery_network
Tarkoma, S., Rothenberg, C.E., Lagerspetz, E.: Theory and practice of bloom filters for distributed systems. IEEE Communications Surveys and Tutorials 14(1), 131–155 (2012)
Yuen, W.H., Schulzrinne, H.: Improving search efficiency using Bloom filters in partially connected ad hoc networks: A node-centric analysis. Computer Communications 30(16), 3000–3011 (2007)
Broder, A., Mitzenmacher, M.: Network applications of bloom filters: A survey. Internet Mathematics 1(4), 485–509 (2004)
Alboaie, S., Buraga, S.C., Alboaie, L.: An XML-based serialization of information exchanged by software agents. Informatica (Slovenia) 28(1), 13–22 (2004)
Bloom, B.H.: Space/time trade-offs in hash coding with allowable errors. Communications of the ACM 13(7), 422–426 (1970)
Zhuang, Z., Guo, C.: Optimizing CDN infrastructure for live streaming with constrained server chaining. In: Proceedings of 2011 IEEE 9th International Symposium on Parallel and Distributed Processing with Applications (ISPA), pp. 183–188. IEEE Press, New York (2011)
Wolf, D.N., Serpanosatand, W.H.: Caching Web objects using Zipf’s law. Multimedia Storage and Archiving Systems 3527, 320 (1998)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer International Publishing Switzerland
About this paper
Cite this paper
Hou, J., Luo, T., Wang, Z., Li, X. (2015). An Intelligent Media Delivery Prototype System with Low Response Time. In: Tan, Y., Shi, Y., Buarque, F., Gelbukh, A., Das, S., Engelbrecht, A. (eds) Advances in Swarm and Computational Intelligence. ICSI 2015. Lecture Notes in Computer Science(), vol 9142. Springer, Cham. https://doi.org/10.1007/978-3-319-20469-7_28
Download citation
DOI: https://doi.org/10.1007/978-3-319-20469-7_28
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-20468-0
Online ISBN: 978-3-319-20469-7
eBook Packages: Computer ScienceComputer Science (R0)