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Edge Computing-Induced Caching Strategy for National Traditional Sports Video Resources by Considering Unusual Items

Wenwen Pan, Bei Liu, Zhiliang Song

Source Title: International Journal of Distributed Systems and Technologies (IJDST) 12(2)

DOI: 10.4018/IJDST.2021040101

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Abstract

In order to promote the development of national traditional sports to carry forward the spirit and culture of a country or nation, this paper designs a system for national traditional sports video distribution with the help of software-defined network and mobile edge computing technologies. Thus, the popular national traditional sports resources can be cached in mobile edge computing servers, which can reduce the delay time from cloud center directly. In order to improve the hit rate of the cached videos, the ant colony-stimulated annealing is used as the caching strategy. The experimental results show that the ant colony-stimulated annealing caching strategy can increase the hit rate of the contents in mobile edge computing servers as well as decrease the delay time of the request videos. The ant colony-stimulated annealing caching strategy performs better than previous caching strategies for updating contents in mobile edge computing servers.

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2. Architecture For National Traditional Sports Video Distribution

In order to ensure that the request can be responded in time, an architecture based on edge computing is proposed for national traditional sports video distribution, which is shown in Figure 1.

Figure 1.

The illustration of the architecture for national traditional sports video distribution

In Figure 1, the software defined network (SDN) (Huang 2018) is used to manage several mobile edge computing (MEC) servers (Wang 2019) and configure the resources for mobile edge computing servers and the cloud platform. Each MEC server supports several clients which connect to the network by personal computer, laptop, smart phone etc. In order to reduce the load on the backbone network, the popular videos are cached in MEC servers. First, the client sends the request to closest MEC server. If the closest MEC server has cached the requested video, the video is sent to the client; otherwise, the MEC server sends the request to the cloud and downloads the video from cloud.

Let us suppose that there are MEC servers and clients. The represents the set of MEC server, represents the set of clients, , and be the number of videos to provide for clients .