Models and representation of their ownership

Hessam S. Sarjoughian, Bernard P. Zeigler

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

Models, similar to other intellectual properties, are increasingly being treated as commodities worthy of protection. Providing ownership for models is key for promoting model reusability, composability, and distributed simulation. However, to date, it appears no principled approach has been developed to support ownership of models. Instead, individuals such as modelers and legal personnel employ ad hoc means to obtain and (re)use models developed and owned by others. In this article, we briefly describe access control capabilities offered by computer languages, operating systems, and HLA ownership management services. The examinations of such methods suggest the need for formal ownership specification. The article discusses, in an informal setting, requirements for model ownership from the point of view of increasing demand and necessity for model reuse, distributed simulation, and future trends for collaborative model development. We develop concepts for model ownership suitable for collaborative model development and distributed execution. Based on the developed concepts, we present an approach, within the DEVS modeling & simulation framework, for specifying model ownership. The article closes with the consideration of the proposed approach for the Collaborative DEVS Modeling environment and a brief discussion of HLA services relevant to model ownership.

Original languageEnglish (US)
Title of host publicationWinter Simulation Conference Proceedings
Pages440-448
Number of pages9
Volume1
StatePublished - 2000
Event2000 Winter Simulation Conference Proceedings - Orlando, FL,USA
Duration: Dec 10 2000Dec 13 2000

Other

Other2000 Winter Simulation Conference Proceedings
CityOrlando, FL,USA
Period12/10/0012/13/00

ASJC Scopus subject areas

  • Chemical Health and Safety
  • Software
  • Safety, Risk, Reliability and Quality
  • Applied Mathematics
  • Modeling and Simulation

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