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The Gossiping Case Study. Boudewijn Haverkort Matthias Kuntz Lucia Cloth November 2007 Lorentz Centre, Leiden. Gossiping Program (Tuesday). 9.00: Keynote by Maarten van Steen, Uniform Randomness versus Emergent Behavior 10.30: Coffee break
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The Gossiping Case Study Boudewijn HaverkortMatthias KuntzLucia ClothNovember 2007Lorentz Centre, Leiden
Gossiping Program (Tuesday) • 9.00: Keynote by Maarten van Steen, Uniform Randomness versus Emergent Behavior • 10.30: Coffee break • 11.00: Solution approaches (≤10 minutes each)- Rena Bahkshi, Free University A’dam- Kai Lampka, ETH Zürich- Lucia Cloth, U Twente- Gianfranco Ciardo, UC Riverside- Jaco van de Pol, U Twente- Frits Vaandrager, Radboud U- Pepijn Crouzen, Saarland University • 12.30: Lunch • 14.00 Working session (14.00-16.00) • 16.00 Group reports • 17.00: Holger Hermanns, tQfQQ
Many Non-Functional Questions! • Connectivity • Node degree • Clustering coefficient • Path length • Message complexity • Information spread • How do these properties change in the face of an accidental/massive node or link failure? • How do these properties change in the face of node heterogenity?
MvS: Experimental results • Can we contribute to this, using model-based analyses? • Can we avoid expensive/lengthy emulations or simulations? • Can we just “throw in” our standard model checkers? • Should we go to other methods, like from statistics or physics?
What did we discuss & find ? • Rehearsal of MDP/abstraction • Rehearsal of mean field analysis (MFA) New ideas: • per node dynamics needs to be MDP(multiple communications per cycle) • abstraction of MDP-based per-node model, such that it fits MFA • Investigate which measures of interest cn be cast in the MFA approach
What did we discuss & find ? • MFA = dynamical system (discrete-time) • other models for dynamical systems (like ODEs, PDEs), like recently done for PEPA • bottom line:-- get away from enumerating things-- go to fluid-flow-like models-- will this save us from the state-space- explosion problem?-- can we solve the resulting eqns?