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Optimization of a peer-to-peer system for efficient content replication

机译:优化点对点系统以实现有效的内容复制

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This paper introduces a framework for the optimization of a peer-to-peer (p2p) based content replication system, aiming at actively exploiting the presence of a centralized component that represents a recent trend in content delivery architectures. To this purpose, we formalize a real-time mixed-integer nonlinear programming problem over a discrete time dynamic system, and propose a hybrid randomonlinear programming scheme that allows to find good solutions while remaining computationally feasible. Two performance indexes. representing different objectives of the content replication process (e.g., speed vs. improved resistance against node failures), are discussed. Simulative tests are presented to prove the effectiveness of the proposed solution, with respect to typical strategies adopted by existing systems. (C) 2008 Elsevier B.V. All rights reserved.
机译:本文介绍了一种用于优化基于对等(p2p)的内容复制系统的框架,旨在积极利用代表内容交付体系结构最新趋势的集中式组件的存在。为此,我们将离散时间动态系统上的实时混合整数非线性规划问题形式化,并提出一种混合随机/非线性规划方案,该方案允许在保持计算可行性的同时找到良好的解决方案。两个性能指标。讨论了代表内容复制过程的不同目标的示例(例如,速度与提高的节点故障抵抗力)。相对于现有系统采用的典型策略,提出了模拟测试来证明所提出的解决方案的有效性。 (C)2008 Elsevier B.V.保留所有权利。

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