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Analysing Selfishness Flooding with SEINE

机译:使用SEINE分析自私性泛滥

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摘要

Selfishness is one of the key problems that confronts developers of cooperative distributed systems (e.g., file-sharing networks, voluntary computing). It has the potential to severely degrade system performance and to lead to instability and failures. Current techniques for understanding the impact of selfish behaviours and designing effective countermeasures remain manual and time-consuming, requiring multi-domain expertise. To overcome these difficulties, we propose SEINE, a simulation framework for rapid modelling and evaluation of selfish behaviours in a cooperative system. SEINE relies on a domain-specific language (SEINE-L) for specifying selfishness scenarios, and provides semi-automatic support for their implementation and study in a state-of-the-art simulator. We show in this paper that (1) SEINE-L is expressive enough to specify fifteen selfishness scenarios taken from the literature, (2) SEINE is accurate in predicting the impact of selfishness compared to real experiments, and (3) SEINE substantially reduces the development effort compared to traditional manual approaches.
机译:自私是协作分布式系统(例如,文件共享网络,自愿计算)的开发人员面临的关键问题之一。它有可能严重降低系统性能并导致不稳定和故障。当前了解自私行为影响和设计有效对策的技术仍然是手动且耗时的,需要多领域的专业知识。为了克服这些困难,我们提出了SEINE,这是一个用于在协作系统中快速建模和评估自私行为的仿真框架。 SEINE依靠领域特定的语言(SEINE-L)来指定自私的情况,并在最新的模拟器中为其实施和研究提供半自动支持。我们在本文中表明,(1)SEINE-L足以表示从文献中得出的十五种自私情境;(2)SEINE与真实实验相比,在预测自私性的影响方面是准确的;(3)SEINE大大降低了自私性与传统的人工方法相比,开发工作量更大。

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