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On the Impact of Modelling Choices for Distributed Information Spread

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On the Impact of Modelling Choices for Distributed Information Spread
—We consider a distributed shuffling algorithm for sharing data in a distributed network. Nodes executing the algorithm periodically contact each other and exchange data. The behavior of the algorithm is probabilistic in nature; a node chooses a random peer and sends a random subset of its local data. Moreover, the algorithm exhibits nondeterministic behavior; the order in which nodes initiate an exchange is not specified. For the shuffling algorithm we build several formal models using the probabilistic model checker PRISM. Despite of the well known state-space explosion problem, we were able to model a network of up to 15 nodes. In addition, we implement two equational models in MATLAB, a discrete model and its continuous alternative, as well as the algorithm itself in the peerto-peer network simulator PeerSim. By comparing different modelling frameworks, we further explore the impact of modelling choices, such as different scheduling policies and the notion of rounds. The evalu...
Rena Bakhshi, Ansgar Fehnker
Added 21 May 2010
Updated 21 May 2010
Type Conference
Year 2009
Where QEST
Authors Rena Bakhshi, Ansgar Fehnker
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