Minimizing service disruption in peer-to-peer streaming.
A unique challenge in P2P network is that the peer dynamics (departure or failure) cause unavoidable disruption to the downstream peers. While many works have been dedicated to consider fault resilience in peer selection, little understanding is achieved regarding the solvability and solution complexity of this problem from the optimization perspective. For peer-to-peer (P2P) streaming system in particular, in order to improve its streaming quality and stability, a P2P system should select peers with abundant bandwidth resource and prospect longevity as the parents of other peers. In this dissertation, we proposed an optimization framework to maximize resilient throughput, and an evaluation metric to minimize service disruption.