Gregory A. Silver

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Key Words (for indexing and abstract services – up to 6 words): Abstract: The new paradigm for distributed computing over the Internet is that of Web services. They are Web accessible software components, which can be combined and linked together to create new functionality in the form of Web processes. This creates the need to compose services into(More)
The Discrete Event Simulation (DES) process interaction world view describes models that focus on simulated entities that progress through a series of temporally related activities. DES formalisms and vendor approaches for representing DES models serve as a basis for developing an open neutral representation of models that can be encoded into ontologies.(More)
Ontologies allow researchers, domain experts, and software agents to share a common understanding of the concepts and relationships of a domain. The past few years have seen the publication of ontologies for a large number of domains. The modeling and simulation community is beginning to see potential for using these ontologies in the modeling process. This(More)
As businesses begin to link Web services to create new functionality in the form of composite Web services, known as Web processes, it will become increasingly important to have a way of measuring their quality of service (QoS). To this end, we present a method that uses a predictive QoS model to compute the QoS for Web processes in terms of performance,(More)
The World Wide Web has had an huge influence on the computing field in general as well as simulation in particular (<i>e.g.</i>, Web-Based Simulation). A new wave of development based upon XML has started. Two of the most interesting aspects of this development are the Semantic Web and Web Services. This paper examines the synergy between Web(More)
In modeling and simulation, the need for interoperability can be between simulation models or, more broadly, within simulation environments. For example, simulation of biochemical pathways for glycan biosynthesis will need access to glycomics knowledge bases such as the GlycO, EnzyO and ReactO ontologies and bioinformatics resource/databases. Traditionally,(More)
Simulation optimization is attracting increasing research interest from the modeling and simulation community. Although there is much research on how to apply various simulation optimization techniques to solve numerous practical and research problems, researchers find that existing optimization routines are difficult to extend or integrate and often(More)
Many fields have or are developing ontologies for their subdomains. The Gene Ontology (GO) is now considered to be a great success in biology, a field that has already developed several extensive ontologies. Similar advantages could accrue to the Modeling and Simulation community. Ontologies provide a way to establish common vocabularies and capture domain(More)
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