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首页> 外文期刊>Peer-to-peer networking and applications >Incorporating contribution-awareness into mesh-based Peer-to-Peer streaming systems - Springer
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Incorporating contribution-awareness into mesh-based Peer-to-Peer streaming systems - Springer

机译：将贡献意识纳入基于网格的点对点流系统-Springer

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摘要

While Peer-to-Peer streaming has become increasingly popular over the Internet during recent years, the proper allocation of available resources among peers in a resource constraint environment, remains a challenging problem. In a resource constraint environment, the allocated resources and thus delivered quality to individual peers should be proportional to their contribution to the system, i.e., resource allocation should be contribution aware. This in turn results in fairness among peers and encourages active contribution from participating peers which is essential for scalability of P2P systems. However, contribution-aware resource allocation is challenging due to the distributed and dynamic nature of resources in P2P systems. In this paper, we present a tax-based contribution-aware scheme for live mesh-based P2P streaming approaches. In our proposed scheme, individual peers use a tax function to determine their number of parent peers (i.e., their share of resources) based on the number of their child peers (i.e., peers’ contributed resources) and the aggregate available resources in the system. We examine the behavior of a commonly used tax function, and describe how the contribution aware scheme can leverage the tax function. Through extensive simulations we demonstrate the ability of our proposed scheme to properly allocate available resources among participating peers over a wide range of scenarios. We show that the amount of resources (i.e., bandwidth) is divided across peers proportional to their contribution and in our default simulation setting the median delivered quality to high bandwidth peers with high contribution is improved by 100%. We believe that our results shed an insightful light on the dynamics of resource utilization and allocation in the context of live mesh-based P2P streaming.
机译：尽管近年来在Internet上点对点流媒体变得越来越流行，但是在资源受限的环境中，对等点之间的可用资源的正确分配仍然是一个具有挑战性的问题。在资源约束的环境中，分配给各个对等方的资源以及由此传递的质量应与它们对系统的贡献成比例，即，资源分配应了解贡献。反过来，这会导致对等方之间的公平，并鼓励参与对等方的积极贡献，这对于P2P系统的可伸缩性至关重要。但是，由于P2P系统中资源的分布和动态性质，可感知贡献的资源分配具有挑战性。在本文中，我们为基于实时网格的P2P流方法提出了一种基于税收的缴费感知方案。在我们提出的方案中，单个对等方使用征税函数根据其子对等方的数量（即，对等方贡献的资源）和系统中的可用总资源来确定其父对等方的数量（即，其资源份额） 。我们研究了常用税收功能的行为，并描述了缴费感知方案如何利用税收功能。通过广泛的仿真，我们证明了我们提出的方案在广泛的场景中正确分配参与对等方之间的可用资源的能力。我们显示资源数量（即带宽）按对等体比例分配给对等体，并且在我们的默认模拟设置中，对具有高贡献率的高带宽对等体的交付质量的中位数提高了100％。我们相信，我们的结果为基于实时网格的P2P流环境中的资源利用和分配动态提供了深刻的见解。

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