Fabien Mathieu

  1. Size Does Matter (in P2P Live Streaming).

    Authors: Fabien Mathieu, Diego Perino, Nidhi Hegde
    Subjects: Networking and Internet Architecture
    Abstract

    Optimal dissemination schemes have previously been studied for peer-to-peer
    live streaming applications. Live streaming being a delay-sensitive
    application, fine tuning of dissemination parameters is crucial. In this
    report, we investigate optimal sizing of chunks, the units of data exchange,
    and probe sets, the number peers a given node probes before transmitting
    chunks. Chunk size can have significant impact on diffusion rate (chunk miss
    ratio), diffusion delay, and overhead.

  2. On Resource Aware Algorithms in Epidemic Live Streaming.

    Authors: Fabien Mathieu, Diego Perino
    Subjects: Networking and Internet Architecture
    Abstract

    Epidemic-style diffusion schemes have been previously proposed for achieving
    peer-to-peer live streaming. Their performance trade-offs have been deeply
    analyzed for homogeneous systems, where all peers have the same upload
    capacity. However, epidemic schemes designed for heterogeneous systems have not
    been completely understood yet. In this report we focus on the peer selection
    process and propose a generic model that encompasses a large class of
    algorithms. The process is modeled as a combination of two functions, an aware
    one and an agnostic one.

  3. Heterogeneity in Distributed Live Streaming: Blessing or Curse?.

    Authors: Fabien Mathieu
    Subjects: Networking and Internet Architecture
    Abstract

    Distributed live streaming has brought a lot of interest in the past few
    years. In the homogeneous case (all nodes having the same capacity), many
    algorithms have been proposed, which have been proven almost optimal or
    optimal. On the other hand, the performance of heterogeneous systems is not
    completely understood yet. In this paper, we investigate the impact of
    heterogeneity on the achievable delay of chunk-based live streaming systems. We
    propose several models for taking the atomicity of a chunk into account.

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