Video on Demand (VoD) service is regarded as one of the most promising services over increasingly deployed next generation broadband access networks. The distributed server architecture, in which the popular content i...
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ISBN:
(纸本)9781424456383
Video on Demand (VoD) service is regarded as one of the most promising services over increasingly deployed next generation broadband access networks. The distributed server architecture, in which the popular content is cached at a location closer to the viewer, is a widely used methodology to optimize the transport capacity of VoD delivery. However, due to the dynamic (change with time) nature of movie popularity distribution, identifying the popular content and updating the cache servers accordingly is not straightforward. In this paper, using a novel caching architecture for Passive Optical Networks (PON), we discuss the need for a fast caching algorithm that can respond to time changing movie popularity distribution, and we propose a novel Last-k caching algorithm, which identifies the popular content using the most recent statistics. The proposed algorithm estimates movie popularity using most recent inter-arrival times of movie requests and updates the cache accordingly such that the most popular content at any given time would reside in the cache. Simulations indicate that the proposed algorithm out-performs existing algorithms by effectively responding to the dynamic nature of movie popularity distribution.
In this paper, it presents an effective caching algorithm based on random access with the finite storage size in distributed server architecture for networked video services. Under the general video traffic condition,...
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ISBN:
(纸本)9781424437092
In this paper, it presents an effective caching algorithm based on random access with the finite storage size in distributed server architecture for networked video services. Under the general video traffic condition, it is observed that the storage size and total popular contents of edge video server affect the performance of the total video sever system, and channel bandwidth between edge video servers and central video servers also is the key factor. To consider this fact, we design an effective edge caching algorithm to select the positions of content based on user random access in distributedserver's architecture. Finally, experimental results are provided to show the superior performance of the proposed algorithm.
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