First International Workshop on Practical Applications of Stochastic Modelling, PASM'04 Saturday 4th September 2004, Imperial College London

Call for papers

First International Workshop on Practical Applications of Stochastic Modelling, PASM'04

http://www.doc.ic.ac.uk/pasm2004/

Saturday 4th September 2004, Imperial College London [As part of the CONCUR workshops series]

Important Dates

Scope of workshop

We encourage papers which apply current well-developed formalisms (stochastic Petri nets, stochastic process algebras, layered queueing networks, etc) to real-world case-studies. These studies might be of traditional web-service, GRID or computer architectures but also we strongly encourage studies from inter-disciplinary collaborations, such as biological and physical systems.

The common link is to see how researchers from diverse fields have overcome the problem of modelling large concurrent and stochastic communicating systems to obtain the particular style of stochastic metric that is important to their field.

Successful contributions may have demonstrated some novel theoretic advance to model their system or will have been diligent in constructing a detailed and realistic stochastic or probabilistic model and carried the modelling through to the analysis phase. Extra credit will be given for models which are backed up by experiment or simulation.

The aim is to end up with a collection of papers which could be used as outstanding examples of modelling practice in the field of stochastic modelling and exhibit all phases of the modelling lifecycle.

Some suggested topics on which we would encourage submission, are listed below. This is by no means an exhaustive list and any paper in the general area of the conference scope would be warmly welcomed.

Case-study analysis using stochastic paradigms and novel analytic variations on those paradigms to enable better practical analysis, e.g.:

• stochastic process algebras
• stochastic Petri nets
• layered queueing networks
• stochastic automata networks
• queueing networks
• fluid stochastic Petri nets

Specific interdisciplinary topics that we would be particularly interested to hear from include application of systematic probabilistic or stochastic analysis techniques to, for instance:

• biological/epidemiological models
• GRID performance and scalability
• models of computer virus/worm infection
• spatial modelling of chemical/nuclear reactions
• decision making, planning and scheduling
• geophysical models of large dynamical systems: e.g. weather/ocean systems, lava flows

Stochastic and probabilistic models from computing areas such as:

• web-services
• distributed and fault-tolerant systems
• adhoc wireless communication systems
• embedded systems
• safety-critical systems
• computer architecture

We look forward to your contribution.

--Jeremy.Bradley and William.Kottenbelt