Efficient prioritized congestion management for social network based live sharing

In this paper, we explicitly consider the scenario of supporting applications with high-bandwidth and low-latency requirements in mobile social networks (MSNs), by leveraging the existing social network sites. Our solution does not assume any centralized server who coordinates the data storage, access, and group management. We address the fundamental challenge supporting such applications, namely: the limited bandwidth availability and intense bandwidth requirement that may hinder the deployment of these applications. We propose a link-based congestion management (LCM) mechanism to adjust the source rate of each stream, and a prioritized flow management mechanism composed of a novel concept of “stress weight” and its associated utility function. Extensive simulation results show that our proposal achieves 50% less rate reduction under the severe congestions, and the achievable source rate of the proposed LCM scheme is over one order of magnitude higher than the alternative approach.