Pricing and resource allocation for multimedia social network in cloud environments

作者:

Highlights:

摘要

Distributed resource allocation is critical for efficient sharing multimedia contents in cloud-based wireless multimedia social network environments. In this paper, a cloud-based multimedia service system architecture is proposed to overcome the limited bandwidth allocation problem in the context of social network, in which bandwidth limited mobile users are allowed to directly acquire live multimedia streaming from the desktop users rather than the cloud based on their social relationships. We also present a theoretical framework for bandwidth allocation from desktop users to mobile users by a dynamic resource pricing process in the proposed bandwidth management system, where price-sensitive users and QoS-sensitive users are considered, and all users target at maximizing their total utilities. Finally, an iterative allocation algorithm is designed to simulate the bandwidth allocation process with respect to shared bandwidth and price. Simulation results verify the effectiveness of our proposed pricing model and allocation algorithm in terms of convergence and efficiency.

论文关键词:Resource allocation,Resource pricing,Multimedia social network,Iterative algorithm,Cloud computing

论文评审过程:Received 3 April 2015, Revised 20 August 2015, Accepted 22 August 2015, Available online 28 August 2015, Version of Record 11 September 2015.

论文官网地址:https://doi.org/10.1016/j.knosys.2015.08.017