Here is some excellent papers of the power of SOA, web services and grids in support of research in distributed simulation and modeling with multiple computational node connected over a network- BSA
For all the papers on this topic please see: http://www.sce.carleton.ca/faculty/wainer/UpcomingPubs.htm
ABSTRACT
DEVS is a Modeling and Simulation formalism that has been used to study the dynamics of discrete event systems. Cell-DEVS is a DEVS-based formalism that defines the cell space as a group of DEVS models connected together. This work presents the design and implementation of a distributed simulation engine based on
CD++; a modeling and simulation toolkit capable of executing
DEVS and Cell-DEVS models. The proposed simulation engine follows the conservative approach for synchronization among the nodes, and takes advantage of web service technologies in order to execute complex models using the resources available in a grid environment. In addition, it allows for the integration with other systems using standard web service tools. The performance of the engine depends on the network connectivity among the nodes; which can be commodity Internet connections, or dedicated pointto- point links created using User Controlled Light Path (UCLP). UCLP is a web service-based network management tool used by grid applications to allocate bandwidth on demand.
1. INTRODUCTION
Modeling and simulation (M&S) plays an important role in studying complex natural and artificial systems. For some systems, analytical analysis is not always feasible due to the complexity pertinent to them, for others, it is too dangerous or impractical to experiment with them. One of the fields of M&S is discrete event simulation which is related to studying systems that exist in finite set of discrete states over continuous periods of time. Some examples of these systems include customer queues in a bank, computer networks, and manufacturing facilities. Discrete Event System Specification (DEVS) is a modeling and simulation formalism that has been used to study discrete event systems. It depends on modeling the system as hierarchal components, each of which has input and output ports to interact with other components and with the external environment
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