Crowdsourced mobile video streaming enables nearby mobile video users to aggregate their network resources to improve the video streaming performance. However, users are often selfish and may not be willing to cooperate without proper incentives. Designing an incentive mechanism for such a scenario is challenging due to the users' asynchronous downloading behaviors as well as their private valuations for multi-bitrate encoded videos. In this work, we propose a multi-object multi-dimensional auction-based incentive framework, through which users can download multiple video segments with different bitrates for multiple nearby users (and themselves). Based on this incentive framework, we propose a Vickrey-score auction, which is the first multi-object multi-dimensional auction that achieves both truthfulness and efficiency. Simulations with real traces show that crowdsourced mobile streaming outperforms noncooperative streaming by 48.6% (on average) in terms of social welfare. We further implement our proposed auction mechanism in a demostration system, and show that the crowdsourced framework together with the auction mechanism can substantially increase mobile user's welfare and video service stability.

Social TV allows people to meet the demand of social experience while watching videos. Existing solutions cannot balance interest among group and provide good viewing quality for all members with different network bandwidth and devices. Realizing that people in group will be more tolerant, trusting and willing to help each other, we developed a cloud based social TV for online group video service. We emphasize group behavior in our application and introduce the concept of tolerance and trust between users to balance their interest. Group Recommendation results we show in our system can obtain overall high satisfaction while provides diverse content. We also design a collaborative video distribution technology to optimize network resource utility for fluency and high quality viewing experience. The entire operation of the system emphasizes on simplicity, collaboration and smooth, providing excellent social TV experience.