The complexity and dynamics of the Internet is driving the demand for scalable and efficient network simulation. Parallel and distributed network simulation techniques make it possible to utilize the power of multiple processors or clusters of workstations to simulate large-scale networks efficiently. However, synchronization overheads inherent in parallel and distributed simulations limit the ...

Simulation has become a common tool in research projects and large logistic and manufacturing design projects. Because of the growing scale, the need for distributed simulation grows rapidly also. Usually it is developed from a general information system approach e.g. by means of HLA (Kuhl et al., 1999] and CORBA [Adamski, Hiller, 1998]. Technically these approaches focus on ‘dataintegrity’, bu...

The Distributed Object Group Framework(DOGF) we constructed supports the grouping of distributed objects that are required for distributed application. From the DOGF, we manage distributed application as a logical single view by applying the concept of object group, therefore the framework can provide distributed transparency for client’ request and binding service between/among objects. The DO...

Running simulations on cloud computing platforms offers advantages to users such as on-demand computing and scalability. Despite these benefits offered by cloud computing platforms, limitations exists in verifiable and efficient deployment of these simulations in the cloud. Moreover, distributed simulations impose additional requirements of coordinated time stepped execution to progress the sim...

This article focuses on the study of the modeling and simulation of an intelligent transportation system that uses discrete event system specification (DEVS)/high-level architecture (HLA), which is the methodology of hierarchical modular modeling and distributed simulation. The authors performed distributed homogeneous traffic simulation by extending an existing developed DEVS-based I 3 D 2 tra...