Name
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. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1145/2185395.2185447 | SIGMETRICS Performance Evaluation Review |
Keywords | Field | DocType |
global system,global behavior,local behavior,adversarial strategy,malicious behavior,large-scale dynamic system,analytical model,local model,peer-to-peer system,performance evaluation,malicious node,markov chain,dynamic system | Population,Bandwidth allocation,Call Admission Control,Computer science,Correctness,Markov chain,Computer network,Byzantine fault tolerance,Real-time computing,Robustness (computer science),Handover,Distributed computing | Journal |
Volume | Issue | Citations |
39 | 4 | 2 |
PageRank | References | Authors |
0.37 | 14 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Emmanuelle Anceaume | 1 | 211 | 29.98 |
| Romaric Ludinard | 2 | 19 | 6.51 |
| Bruno Sericola | 3 | 258 | 29.41 |