Cost and profit driven cloud-P2P interaction
I consider two scenarios of prospective P2P-Cloud interaction. In the first one, client peers are interested in sharing video content with the help of the cloud. Due to a limited monetary budget, only a small fraction of the clients can have the content delivered directly via the cloud servers. The rest need to engage in a mesh-pull P2P broadcast to exchange the content among them. I propose a novel algorithm for constructing an equicentric distribution overlay, where peer neighborhoods exhibit homogenous latencies relative to the cloud. I demonstrate that the resulting topology exhibits the small-world property, and leads to increased data sharing and reduced play-out latency of the content among the peers. The clients are further equipped with a novel utility-driven packet scheduling strategy, where the packets utility is driven by its importance for the video reconstruction quality at the destination client and its rarity within the respective peer neighborhood. My simulation results show that the proposed protocols enhance the performance of a reference P2P broadcast system. Significant improvement in terms of average video quality is demonstrated over conventional solutions due to the proposed packet scheduling. The mesh construction strategy enables additional benefits in terms of frame-freeze frequency and play-out latency reduction, relative to the common approach of random peer selection. These lead to corresponding gains in video quality due to the improved continuity of the playback experience. The second scenario I investigate considers hybrid P2P-Cloud operation where the clients can lease computing resources to the cloud in exchange forprofit. I design cooperative and noncooperative strategies that the cloud and the clients can follow in order to maximize their respective objective functions, independently or jointly.
packet scheduling hybrid p2p-cloud systems topology construction small world graphs resource markets nash bargaining stackelberg games video streaming