1. What are the contributions in "Foundations of distributed multiscale computing: formalization, specification, and analysis" ?
In this paper the authors propose firm foundations for multiscale modeling and distributed multiscale computing.. The authors enhance a high-level and well-defined Multiscale Modeling Language ( MML ) that describes and specifies multiscale models and their computational architecture in a modular way.
read more
2. What are the future works mentioned in the paper "Foundations of distributed multiscale computing: formalization, specification, and analysis" ?
Multiscale modeling is being embraced as a paradigm to study and better understand nature.. Given such a focused multiscale model specification with welldefined elements, its properties can be deduced: howdynamic it is, what dependencies and possibilities for deadlock appear between submodels, and how the model could be scheduled over multiple resources.. One of the goals of the MAPPER project is to further automate the combined workflow of specifying, analyzing, and doing distributed execution of a multiscale model by developing additional MML tools and integrating them with QosCosGrid and GridSpace 2 [ 16 ].. Even though this paper addresses how distributed multiscale computing can be achieved, in future research wewill focus on the performance of doing distributedmultiscale computing as opposed to local computing.
read more
3. What is the only requirement for the way the state or future events are modified?
Also the way the state or the future events are modified is a modeling choice; the only requirement is that the time series still adheres to the temporal scale specification.
read more
4. Why is it possible to distribute the computation among multiple heterogeneous machines?
Because of the modular setup the authors propose for multiscale models, it is feasible to distribute the computation among multiple heterogeneousmachines.
read more
