Often, parallel and distributed computing systems must operate in an environment replete with uncertainty. Determining a resource allocation that accounts for this uncertainty in ...
Vladimir Shestak, Jay Smith, Howard Jay Siegel, An...
We give a description of a Petri net-based framework for modelling and analysing biochemical pathways, which unifies the qualitative, stochastic and continuous paradigms. Each per...
We present SpiCO, a new modeling and simulation language for systems biology. SpiCO is based on the stochastic π-calculus. It supports higher level modeling via multi-profile con...
Abstract— This paper presents a parametric model to estimate the DNA-protein binding time using the DNA and protein structures and details of the binding site. To understand the ...
Preetam Ghosh, Samik Ghosh, Kalyan Basu, Sajal K. ...
— This paper introduces stochastic port-Hamiltonian systems and clarifies some of their properties. Stochastic portHamiltonian systems are extension of port-Hamiltonian systems ...
We consider some well-known families of two-player zero-sum perfect-information stochastic games played on finite directed graphs. Generalizing and unifying results of Liggett and...
Process algebras are widely used for defining the formal semantics of concurrent communicating processes. In process algebra, concurrent processes can be specified to execute di...
Proposed and developed is a service composition framework for decision-making under uncertainty, which is applicable to stochastic optimization of supply chains. Also developed is ...
It is unknown how to include stochastic process variation into fast-multipole-method (FMM) for a full chip capacitance extraction. This paper presents a parallel FMM extraction us...