Performance evaluation of large-scale dynamic systems

Emmanuelle Anceaume 1, 2 Romaric Ludinard 3 Bruno Sericola 3
1 CIDER
IRISA-D1 - SYSTÈMES LARGE ÉCHELLE
2 CIDRE - Confidentialité, Intégrité, Disponibilité et Répartition
CentraleSupélec, Inria Rennes – Bretagne Atlantique , IRISA-D1 - SYSTÈMES LARGE ÉCHELLE
3 DIONYSOS - Dependability Interoperability and perfOrmance aNalYsiS Of networkS
Inria Rennes – Bretagne Atlantique , IRISA-D2 - RÉSEAUX, TÉLÉCOMMUNICATION ET SERVICES
Abstract : In this paper we present an in-depth study of the dynamicity and robustness properties of large-scale distributed systems, and in particular of peer-to-peer systems. When designing such systems, two major issues need to be faced. First, population of these systems evolves continuously (nodes can join and leave the system as often as they wish without any central authority in charge of their control), and second, these systems being open, one needs to defend against the presence of malicious nodes that try to subvert the system. Given robust operations and adversarial strategies, we propose an analytical model of the local behavior of clusters, based on Markov chains. This local model provides an evaluation of the impact of malicious behaviors on the correctness of the system. Moreover, this local model is used to evaluate analytically the performance of the global system, allowing to characterize the global behavior of the system with respect to its dynamics and to the presence of malicious nodes and then to validate our approach.
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Submitted on : Sunday, September 30, 2012 - 9:05:49 PM
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Emmanuelle Anceaume, Romaric Ludinard, Bruno Sericola. Performance evaluation of large-scale dynamic systems. ACM SIGMETRICS Performance Evaluation Review, Association for Computing Machinery, 2012, 39 (4), pp.108-117. ⟨10.1145/2185395.2185447⟩. ⟨hal-00736918⟩

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