scispace - formally typeset
Search or ask a question

Showing papers by "Bernard P. Zeigler published in 2006"


Proceedings ArticleDOI
04 Dec 2006
TL;DR: The semantic structure for one of the operational view documents OV-6a can be structured in a more generalized meta-model framework such that every rule is reducible to meaningful code which is automatedly constructed through natural language processing (NLP) methods and further be reduced to DEVS based models.
Abstract: The development of a distributed testing environment would have to comply with recent Department of Defense (DoD) mandates requiring that the DoD architectural framework (DoDAF) be adopted to express high level system and operational requirements and architectures. Unfortunately, DoDAF and DoD net-centric mandates pose significant challenges to testing and evaluation since DoDAF specifications must be evaluated to see if they meet requirements and objectives, yet they are not expressed in a form that is amenable to such evaluation. DoDAF is the basis for integrated architectures and provides broad levels of specification related to operational, system, and technical views. In our earlier work, we described an approach to support specification of DoDAF architectures within a development environment based on DEVS (discrete event system specification) for semi-automated construction of the needed simulation models. The result is an enhanced system lifecycle development process that includes both development and testing in an integral manner. We also developed automated model generation using XML which paves the way for OVs to become service-providing components in the Web services architecture. In this paper we present the semantic structure for one of the operational view documents OV-6a that would aid the development of these semi-automated models. We will describe how 0V-6a can be structured in a more generalized meta-model framework such that every rule is reducible to meaningful code which is automatedly constructed through natural language processing (NLP) methods and further be reduced to DEVS based models. The paper also presents an overview of the life-cycle development methodology for these enterprise architectures and how a common enterprise domain-model can be used in customized business/domain-specific rules and policy structures

12 citations


01 Jan 2006
TL;DR: A new approach to group cells in cellular space into smaller partitions that are treated as atomic DEVS models is presented, which gives significant simulation speedup over the conventional techniques of representing cells in DEVS.
Abstract: This paper presents a new approach that enhances the performance of large scale cellular space simulations expressed in modular DEVS. The basic idea is to group cells in cellular space into smaller partitions that are treated as atomic DEVS models. The enhancement is achieved by reducing the large number of messages generated by intercell communication. This, in turn, saves large number of simulator iterations that were used to handle such communication. The new approach gives significant simulation speedup over the conventional techniques of representing cells in DEVS. A landslide slope criticality model is used to perform some computational experiments to demonstrate the simulation speedup of our approach.

6 citations


Proceedings Article
01 Jan 2006
TL;DR: The Dagstuhl Seminar 04041 ``Component-Based Modeling and Simulation'' was held in the International Conference and Research Center (IBFI), Schloss DagStuhl, and several participants presented their current research, and ongoing work and open problems were discussed.
Abstract: From 18.01.04 to 23.01.04, the Dagstuhl Seminar 04041 ``Component-Based Modeling and Simulation'' was held in the International Conference and Research Center (IBFI), Schloss Dagstuhl. During the seminar, several participants presented their current research, and ongoing work and open problems were discussed. Abstracts of the presentations given during the seminar as well as abstracts of seminar results and ideas are put together in this paper. The first section describes the seminar topics and goals in general. Links to extended abstracts or full papers are provided, if available.

4 citations


Journal ArticleDOI
01 Dec 2006
TL;DR: A generic model partitioning algorithm that decomposes a given multiscale model to a set of partition blocks based on a cost modeling and analysis method in polynomial time and can be applied to a variety of partitioning problems in large-scale systems biology research utilizing distributed and parallel simulation.
Abstract: We present a concise, generic, and configurable partitioning approach for decomposable, modular, and multiscale (or hierarchical) constructive models. A generic model partitioning (GMP) algorithm decomposes a given multiscale model to a set of partition blocks based on a cost modeling and analysis method in polynomial time. It minimizes model decompositions and constructs monotonically improved partitioning outcomes during the partitioning process. The cost modeling and analysis method enables translating subjective, domain-specific, and heterogeneous resource information to objective, domain-independent, and homogeneous cost information. By translating models to a homogeneous cost space and describing partitioning logics over the space, the proposed algorithm utilizes domain-specific knowledge to produce the best partitioning results without any modification of its programming logics. As a consequence of its clean separation between domain-specific partitioning requirements and goals, and generic partitioning logic, the proposed algorithm can be applied to a variety of partitioning problems in large-scale systems biology research utilizing distributed and parallel simulation. It is expected that the algorithm improves overall performance and efficiency of in silico experimentation of complex multiscale biological system models.

4 citations


Journal ArticleDOI
TL;DR: The semantic structure for one of the Operational View documents OV-6a can be structured in a more generalized meta-model framework such that every rule is reducible to meaningful code which is automatedly constructed through Natural Language Processing (NLP) methods and further be reduced to DEVS based models.
Abstract: The development of a distributed testing environment would have to comply with recent DoD mandates requiring that the DoD Architectural Framework (DoDAF) be adopted to express high level system and operational requirements and architectures Unfortunately, DoDAF and DoD net-centric mandates pose significant challenges to testing and evaluation since DoDAF specifications must be evaluated to see if they meet requirements and objectives, yet they are not expressed in a form that is amenable to such evaluation. DoDAF is the basis for integrated architectures and provides broad levels of specification related to operational, system, and technical views. In our earlier work, we described an approach to support specification of DoDAF architectures within a development environment based on DEVS (Discrete Event System Specification) for semi-automated construction of the needed simulation models. The result is an enhanced system lifecycle development process that includes both development and testing in an integral manner. We also developed automated model generation using XML which paves the way for OVs to become service-providing components in the Web Services architecture. In this paper we present the semantic structure for one of the Operational View documents OV-6a that would aid the development of these semi-automated models. We will describe how OV-6a can be structured in a more generalized meta-model framework such that every rule is reducible to meaningful code which is automatedly constructed through Natural Language Processing (NLP) methods and further be reduced to DEVS based models. The paper also presents an overview of the Life-cycle development methodology for these enterprise architectures and how a common enterprise domain-model can be used in customized business/domain-specific rules and policy structures.