Multi-path streaming: Optimization of load distribution
Performance Evaluation - Performance 2005
Optimal server allocations for streaming multimedia applications on the internet
Computer Networks: The International Journal of Computer and Telecommunications Networking
P2P Object-based adaptivE Multimedia Streaming (POEMS)
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ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
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IEEE Transactions on Circuits and Systems for Video Technology
Ant colony optimization based packet scheduler for peer-to-peer video streaming
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Video Streaming with Network Coding
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A novel buffer underflow avoidance scheme for multiple- source high quality multimedia delivery
IEEE Communications Letters
Asymptotically optimal load distribution for multipath streaming under fec
Probability in the Engineering and Informational Sciences
Path diversity over packet switched networks: performance analysis and rate allocation
IEEE/ACM Transactions on Networking (TON)
Review: A survey of schemes for Internet-based video delivery
Journal of Network and Computer Applications
Multisource video on-demand streaming in wireless mesh networks
IEEE/ACM Transactions on Networking (TON)
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With the explosive growth of video applications over the Internet, many approaches have been proposed to stream video effectively over packet switched, best-effort networks. We propose a receiver-driven protocol for simultaneous video streaming from multiple senders to a single receiver in order to achieve higher throughput, and to increase tolerance to packet loss and delay due to network congestion. Our receiver-driven protocol employs a novel rate allocation algorithm (RAA) and a packet partition algorithm (PPA). The RAA, run at the receiver, determines the sending rate for each sender by taking into account available network bandwidth, channel characteristics, and a prespecified, fixed level of forward error correction, in such a way as to minimize the probability of packet loss. The PPA, run at the senders based on a set of parameters estimated by the receiver, ensures that every packet is sent by one and only one sender, and at the same time, minimizes the startup delay. Using both simulations and Internet experiments, we demonstrate the effectiveness of our protocol in reducing packet loss.