The analysis of P2P networks with malicious peers and repairable breakdown based on Geo/Geo/1+1 queue

IF 3.4 3区 计算机科学 Q1 COMPUTER SCIENCE, THEORY & METHODS
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引用次数: 0

Abstract

The incredible growth of Peer-to-Peer (P2P) networks has brought with it some complex challenges, such as trust issues and high bandwidth consumption. To address these challenges, this paper analyzes the “free-riding” behavior, system energy consumption, and the benefits of requesting and service peers in the network. A Geo/Geo/1+1 queuing model is built with malicious peers which includes several strategies such as repairable breakdown, synchronized multiple working vacations, differentiated service, and waiting threshold. The matrix-geometric solution method is used to obtain steady-state distribution and performance measures. By conducting numerical experiments and analyzing the impact of each parameter, it is possible to optimize the system's performance and reduce energy consumption. With careful adjustments to parameter values, significant cost savings of requesting peers and energy conservation can be achieved. The resulting analysis provides a comprehensive understanding of the behavior of P2P networks, and the strategies proposed in the study can be used to optimize the performance of P2P networks.

基于 Geo/Geo/1+1 队列的恶意对等网络和可修复故障的 P2P 网络分析
点对点(P2P)网络的迅猛发展带来了一些复杂的挑战,如信任问题和高带宽消耗。为应对这些挑战,本文分析了网络中的 "搭便车 "行为、系统能耗以及请求和服务对等方的收益。本文建立了一个包含恶意对等节点的 Geo/Geo/1+1 队列模型,其中包括多种策略,如可修复故障、同步多个工作假期、差异化服务和等待阈值。利用矩阵几何求解法获得稳态分布和性能指标。通过进行数值实验并分析各参数的影响,可以优化系统性能并降低能耗。通过对参数值的精心调整,可以显著节省请求同行的成本并节约能源。由此得出的分析结果让我们对 P2P 网络的行为有了全面的了解,研究中提出的策略可用于优化 P2P 网络的性能。
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来源期刊
Journal of Parallel and Distributed Computing
Journal of Parallel and Distributed Computing 工程技术-计算机:理论方法
CiteScore
10.30
自引率
2.60%
发文量
172
审稿时长
12 months
期刊介绍: This international journal is directed to researchers, engineers, educators, managers, programmers, and users of computers who have particular interests in parallel processing and/or distributed computing. The Journal of Parallel and Distributed Computing publishes original research papers and timely review articles on the theory, design, evaluation, and use of parallel and/or distributed computing systems. The journal also features special issues on these topics; again covering the full range from the design to the use of our targeted systems.
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