Abstract
The rapid growth of video traffic poses serious challenges to the current Internet. Content-Centric Networking (CCN) as a promising candidate has been proposed to reengineer the Internet architecture. The in-network caching and named content communication model of CCN can enhance the video streaming applications and reduce the network workload. Due to the bandwidth-consuming characteristic of video streaming, the aggressive transmission of video data will cause a reduction of overall network efficiency. In this paper, we present an adaptive video transmission mechanism over Mobile Edge Computing- (MEC-) based CCN. The computation and storage resources of the MEC server are utilized to facilitate the video delivery. Our mechanism adopts a scalable video coding scheme to adaptively control transmission rate to cope with the network condition variation. To analyse the equilibrium property of the proposed mechanism, an analytical model is deduced by using network utility function and convex programming. We also take into account the packet loss in wired and wireless links and present a MEC assistant loss recovery algorithm. The experiment results demonstrate the performance improvement of our proposed mechanism.
Highlights
With the continuous progress of wireless communication technology and mobile devices, emerging multimedia services have gradually become people’s daily applications, and dominated mobile Internet traffic [1,2,3]
We present an adaptive video transmission mechanism, which considering the advantages of both Centric Networking (CCN) and Mobile Edge Computing (MEC)
The proposed mechanism was compared with DL-LRM [35] and CCN default approach [7] with the same network conditions
Summary
With the continuous progress of wireless communication technology and mobile devices, emerging multimedia services (e.g., mobile TV, user-created video, video game, and mobile video calling) have gradually become people’s daily applications, and dominated mobile Internet traffic [1,2,3]. The management of the data cache directly affects the availability of content; efficient cache management algorithms have been proposed [13,14,15] Another crucial technique to cope with the challenge of the Internet is Mobile Edge Computing (MEC). A typical CCN node has three data modules: Pending Interest Table (PIT), Content Store (CS), and Forwarding Information Base (FIB). The CCN node appends the incoming network interface to the existing entry and waits the return of the data packet. The CCN node sends the data packet to each network interface listed in the entry, and the entry is removed from the PIT after sending. The content caching capability of CCN nodes is crucial for video streaming applications.
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