Abstract
Information Centric Networking (ICN) is a revolutionary concept that considers data content interconnected networking instead of equipment interconnected data transmission. Designing and optimizing such a system require not only a software simulator environment but also an experimental platform to test new type of big-data processing architecture. This paper introduce and contribute on put forward the idea of a new distributed publish-subscribe media big data processing platforms base on the ICN architecture. First part discusses the component that included in a ICN media streaming platform, and then describes the design of a distributed publish-subscribe (P/S) system, which manages the subscription query, storage, transmission and content scheduling that complies with the named data networking (NDN) framework. The simulation utilizes software defined network (SDN) controller to carry out artificial intelligence supported computing in the cloud to generate global view of the distributed media content.
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Acknowledgements
We would like to present our appreciation for the support from the National Science Foundation of China Guang dong project U1301252, Science and Technology Innovation Commission Foundation of Shen Zhen project JCYJ20160608151239996 and JCYJ20170307114301790.
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Lu, Y., Hu, T., Wang, X. (2018). Information Centric Networking Media Streaming Experiment Platform Design. In: Qiu, M. (eds) Smart Computing and Communication. SmartCom 2017. Lecture Notes in Computer Science(), vol 10699. Springer, Cham. https://doi.org/10.1007/978-3-319-73830-7_33
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DOI: https://doi.org/10.1007/978-3-319-73830-7_33
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