Traffic localization for video service on intelligent optical network

The demand for high-quality video has been posing remarkable new challenges on achieving efficiency and fair utilization of network resources. High-quality IPTV and VoD has high-bandwidth requirements. Another trend is the popularity of p2p systems and it could severely strain broadband networks. In particular, without the ability to explicitly communicate with network providers, P2P applications mainly depend on inefficient network inference and network- oblivious peering, leading to potential inefficiencies for both P2P applications and network providers. In this paper, we propose a multi-domain resource management for super high-definition video delivery service which can effectively reduce the backbone network traffic. The Resource scheduling mechanism is discussed. The reduction of network traffic is measured.