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Papers by Meng Zhang

Research paper thumbnail of Understanding the Power of Pull-Based Streaming Protocol: Can We Do Better

IEEE Journal on Selected Areas in Communications, 2007

Research paper thumbnail of Optimizing the Throughput of Data-Driven Based Streaming in Heterogeneous Overlay Network

Recently, much attention has been paid on data-driven (or swarm-like) based live streaming system... more Recently, much attention has been paid on data-driven (or swarm-like) based live streaming systems due to its rapid growth in deployment over Internet. In such systems, nodes randomly select their neighbors to form an unstructured overlay mesh (gossip-style overlay construction) and then each node requests desired data blocks from its neighbors (block scheduling). To improve the performance, most of existing works focus on the gossip-style overlay construction issue; however few concentrate on optimizing the block scheduling for improving the throughput of a constructed overlay, especially in heterogeneous environment. In this paper, we propose a scheme to optimize the throughput of data-driven streaming systems in heterogeneous overlay network. We first model the block scheduling problem as a classical min-cost flow problem and thereby derive a global optimal solution. Based on this idea, we then propose DONLE – a fully distributed asynchronous scheduling algorithm. Simulation results verify that DONLE is superior to a number of conventional strategies.

Research paper thumbnail of Optimizing the Throughput of Data-Driven Peer-to-Peer Streaming

IEEE Transactions on Parallel and Distributed Systems, 2009

Research paper thumbnail of On the Optimal Scheduling for Media Streaming in Data-driven Overlay Networks

Research paper thumbnail of iGridMedia: Providing Delay-Guaranteed Peer-to-Peer Live Streaming Service on Internet

Research paper thumbnail of Understanding the Power of Pull-Based Streaming Protocol: Can We Do Better

IEEE Journal on Selected Areas in Communications, 2007

Research paper thumbnail of Optimizing the Throughput of Data-Driven Based Streaming in Heterogeneous Overlay Network

Recently, much attention has been paid on data-driven (or swarm-like) based live streaming system... more Recently, much attention has been paid on data-driven (or swarm-like) based live streaming systems due to its rapid growth in deployment over Internet. In such systems, nodes randomly select their neighbors to form an unstructured overlay mesh (gossip-style overlay construction) and then each node requests desired data blocks from its neighbors (block scheduling). To improve the performance, most of existing works focus on the gossip-style overlay construction issue; however few concentrate on optimizing the block scheduling for improving the throughput of a constructed overlay, especially in heterogeneous environment. In this paper, we propose a scheme to optimize the throughput of data-driven streaming systems in heterogeneous overlay network. We first model the block scheduling problem as a classical min-cost flow problem and thereby derive a global optimal solution. Based on this idea, we then propose DONLE – a fully distributed asynchronous scheduling algorithm. Simulation results verify that DONLE is superior to a number of conventional strategies.

Research paper thumbnail of Optimizing the Throughput of Data-Driven Peer-to-Peer Streaming

IEEE Transactions on Parallel and Distributed Systems, 2009

Research paper thumbnail of On the Optimal Scheduling for Media Streaming in Data-driven Overlay Networks

Research paper thumbnail of iGridMedia: Providing Delay-Guaranteed Peer-to-Peer Live Streaming Service on Internet

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