Abstract
The caching-enabled networks, especially Information-Centric Networking (ICN), have attracted much attention from some global research communities, and the corresponding achievements have been highlighted in the field of video delivery. This paper studies more effective video delivery mechanism in order to guarantee better network performance based on two conceptions, i.e., the intermediate caching of popular video segments and the light delivery of identity object. At first, we evaluate the popularity under the dynamic environment, including descending modelling, ascending modelling and period modelling. Then, we propose identity-based light video delivery mechanism; in particular, we introduce Data Plane Development Kit (DPDK) to ensure that all video segments have the same size and to accelerate video transmission by bypassing the kernel. Finally, the simulation experiments are made based on the real YouTube dataset over CERNET network topology, and the results demonstrate that the proposed video delivery mechanism outperforms two the-state-of-the-art mechanisms in terms of cache hit ratio, routing hop count, delivery delay and network load.
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