HotStreaming is an overlay peer-to-peer (P2P) based IPTV system. It integrates the innovations in both overlay networking and video coding for optimal user experience. The HotStreaming system is composed of three key components: partnership formation, data request scheduling and multiple description coding (MDC). In the partnership formation component, we propose two policies to reduce the time of disconnection and the number of isolated peers. In the MDC component, we adopt MDC with spatial-temporal hybrid interpolation (MDC-STHI), which makes the peers in a P2P network to adjust the streaming traffic according to their bandwidth limitation and capability of devices. The experimental results show that the HotStreaming system improves the video quality over a lossy and dynamic networking environment.

NTUStreaming is an overlay P2P-based IPTV system that integrates innovations in both overlay networking and video coding for optimal user experience. The system consists of three key components: partnership formation, robust video coding, and video segment request scheduling. For partnership formation, a graph construction mechanism TYPHOON based on epidemic algorithms is developed to reduce disconnect time and isolated peers. For robust video coding, a multiple description coding (MDC) scheme with spatial-temporal hybrid interpolation (STHI) is proposed to adjust streaming traffic according to the bandwidth and device capability of each peer. For request scheduling, an optimization algorithm is developed by taking the available bandwidth and the video segment type into account. Experimental results show that NTUStreaming is able to deliver optimal video quality in lossy and dynamic networking environments.

With advances in variant wireless technologies, many mobile devices equipped with multiple interfaces have emerged. In such a multiple wireless network environment, it is desirable to enjoy streaming video with good quality and low cost. The challenge of providing such services is to take advantage of heterogeneous wireless network characteristics, including their bandwidth, packet lost probability and transmission cost. In this paper, we first present a detailed video distortion model to estimate the distortion experienced by service users. Based on this model, we then propose a 3-stage greedy algorithm, which determines the transmission sequences over two heterogeneous wireless networks, so that distortion controlled streaming video services can be provided with near-optimal cost. Experiment results show that the detailed video distortion model can keep the expected distortion under better control. Besides, the proposed 3-stage greedy algorithm provides a solution which meets the distortion and deadline constraints with the near-optimal cost