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A lightweight, robust P2P system to handle flash crowds

机译:轻巧,强大的P2P系统,可应对大量闪存

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摘要

An Internet flash crowd (also known as hot spots) is a phenomenon that results from a sudden, unpredicted increase in an on-line object's popularity. Currently, there is no efficient means within the Internet to deliver Web objects scalably under hot spot conditions to all clients that desire the object. We present peer-to-peer (P2P) randomized overlays to obviate flash-crowd symptoms (PROOFS), a simple, lightweight, P2P approach that uses randomized overlay construction and randomized, scoped searches to locate and deliver objects efficiently under heavy demand to all users that desire them. We evaluate PROOFS' robustness in environments in which clients join and leave the P2P network, as well as in environments in which clients are not always fully cooperative. Through a mix of simulation and prototype experimentation in the Internet, we show that randomized approaches like PROOFS should effectively relieve flash crowd symptoms in dynamic, limited-participation environments.
机译:Internet闪存人群(也称为热点)是一种由于在线对象的受欢迎程度突然而无法预测的增长而引起的现象。当前,Internet上没有有效的手段可以在热点条件下将Web对象按比例缩放地交付给所有需要该对象的客户端。我们提出了点对点(P2P)随机覆盖,以消除闪存人群症状(PROOFS),这是一种简单,轻量级的P2P方法,它使用随机覆盖结构和随机,范围内搜索来有效地定位和交付需求量很大的对象渴望他们的用户。我们评估了PROOFS在客户端加入和离开P2P网络的环境中以及客户端并不总是完全协作的环境中的稳健性。通过在Internet中进行仿真和原型实验的混合,我们显示出像PROOFS这样的随机方法应该可以有效缓解动态,有限参与环境中的闪存人群症状。

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