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Analysing Selfishness Flooding with SEINE

Abstract : 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.
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Submitted on : Monday, September 4, 2017 - 9:13:22 PM
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Guido Lena Cota, Sonia Ben Mokhtar, Gabriele Gianini, Ernesto Damiani, Julia Lawall, et al.. Analysing Selfishness Flooding with SEINE. The 47th IEEE/IFIP International Conference on Dependable Systems and Networks (DSN'17), Jun 2017, Denver, Colorado, United States. pp.603 - 614, ⟨10.1109/DSN.2017.51⟩. ⟨hal-01581628⟩



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