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Analysing Selfishness Flooding with SEINE

机译:用塞纳河分析自私洪水

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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:自私是面对合作分布式系统的开发人员的关键问题之一(例如,文件共享网络,自愿计算)。它有可能严重降低系统性能并导致不稳定和失败。了解自私行为的影响和设计有效对策的当前技术仍然是手动和耗时的,需要多域专业知识。为了克服这些困难,我们提出了一个塞纳河,一种用于快速建模和评估合作系统中自私行为的仿真框架。塞纳河依赖于特定于域的语言(塞纳-L),用于指定自动化方案,并为其在最先进的模拟器中提供半自动支持。我们在本文中展示了(1)塞纳尔对表达的表达,足以指定从文献中取出的十五个自私情景,(2)塞纳在预测与真实实验相比,塞纳河的影响是准确的,(3)塞纳大本上减少了与传统的手动方法相比,开发努力。

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