scholarly journals Modelling of P2P-Based Video Sharing Performance for Content-Oriented Community-Based VoD Systems in Wireless Mobile Networks

2016 ◽  
Vol 2016 ◽  
pp. 1-13 ◽  
Author(s):  
Shijie Jia ◽  
Youzhong Ma ◽  
Yongxin Zhang ◽  
Tianyin Wang ◽  
Mingchuan Zhang

The video sharing performance is a key factor for scalability and quality of service of P2P VoD systems in wireless mobile networks. There are some impact factors for the video sharing performance, such as available upload bandwidth, resource distribution in overlay networks, and mobility of mobile nodes. In this paper, we firstly model user behaviors: joining, playback, and departure for the content-oriented community-based VoD systems in wireless mobile networks and construct a resource assignment model by the analysis of transition of node state: suspend, wait, and playback. We analyze the influence of the above three factors: upload bandwidth, startup delay, and resource distribution for the sharing performance and QoS of systems. We further propose the improved resource sharing strategies from the perspectives of community architecture, resource distribution, and data transmission for the systems. Extensive tests show how the improved strategies achieve much better performance results in comparison with original strategies.

2017 ◽  
Vol 2017 ◽  
pp. 1-14 ◽  
Author(s):  
Shijie Jia ◽  
Ruiling Zhang ◽  
Shengli Jiang ◽  
Mingchuan Zhang

The video services in wireless mobile networks attract massive mobile video users, which triggers the demand for huge network traffic. In order to reduce network load and ensure user quality of experience (QoE), the MP2P-based video systems need to implement high-efficiency management and scheduling of video resources to optimize distribution and promote sharing with offloading traffic in underlaying networks. The traditional solutions do not efficiently address the problems caused by demand variation and node mobility for distribution optimization and resource sharing, so that promotion of video sharing performance in wireless mobile networks for user QoE and reduction of network load still is a significant challenge. This paper proposes a novel video sharing solution based on Demand-aware Resource Caching Optimization in wireless mobile networks (VDRCO). VDRCO models the process of video dissemination in overlay networks in terms of the epidemic model and discusses the main influence factors for video dissemination. By estimation for user demand and video distribution variation, VDRCO makes use of clustering nodes with similar video demand and movement behaviors to achieve distribution optimization and efficient video sharing. Extensive tests show how VDRCO achieves much better performance results in comparison with a state-of-the-art solution.


2016 ◽  
Vol 2016 ◽  
pp. 1-13
Author(s):  
Lujie Zhong ◽  
Shijie Jia ◽  
Youzhong Ma ◽  
Yongxin Zhang

The increase in the demand of content quality and the number of mobile users brings new challenges for the multimedia streaming services in wireless mobile networks. The virtual community technologies are promising by grouping the users with common characteristics to get the gains in the performance of resource lookup and system scalability. In this paper, we propose a novel interaction-aware video community-based content delivery (IVCCD) in wireless mobile networks. IVCCD collects and analyzes the interaction information between users to construct user interaction model and further capture the common characteristics in the request and delivery of video content. IVCCD employs a partition-based community discovery scheme to group the mobile users in terms of the common characteristics and uses a community member management mechanism and a resource sharing scheme to achieve low-cost community maintenance and high searching performance. Extensive tests show how IVCCD achieves much better performance results in comparison with other state-of-the-art solutions.


2014 ◽  
Vol 60 (2) ◽  
pp. 322-335 ◽  
Author(s):  
Changqiao Xu ◽  
Shijie Jia ◽  
Lujie Zhong ◽  
Hongke Zhang ◽  
Gabriel-Miro Muntean

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