2013Unpublished venueRequires access

Interoperability, Composability, and Their Implications for Distributed Simulation: Towards Mathematical Foundations of Simulation Interoperability

Andreas Tolk

Open publisher page 48 citations

Abstract

Interoperability is generally defined as the ability to exchange data and to make use of these data within the receiving system. For information technology systems this definition makes perfect sense, as the exchange of data via common protocols in a shared infrastructure is the only way to make systems work with each other. For simulation systems, however, the exchange and use of data is necessary, but not sufficient. Simulation systems execute models, which represent purposeful abstractions and simplifications of a task-oriented reality. Meaningful interoperation of two systems requires the alignment of concepts represented in the underlying models. Composability ensures the alignment of these concepts by ensuring the consistent representation of interpretations of truth among all participating systems. The presented work uses a branch of mathematics called model theory to investigate definitions of interoperability and composability and provides the implications for verification and validation procedures, model-based approaches, and simulation interoperability standards.

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What this paper is about

Interoperability is generally defined as the ability to exchange data and to make use of these data within the receiving system. For information technology systems this definition makes perfect sense, as the exchange of data via common protocols in a shared infrastructure is the only way to make systems work with each other. For simulation systems, however, the exchange and use of data is necessary, but not sufficient. Simulation systems execute models, which represent purposeful abstractions and simplifications of a task-oriented reality. Meaningful interoperation of two systems requires the alignment of concepts represented in the underlying models. Composability ensures the alignment of these concepts by ensuring the consistent representation of interpretations of truth among all participating systems. The presented work uses a branch of mathematics called model theory to investigate definitions of interoperability and composability and provides the implications for verification and validation procedures, model-based approaches, and simulation interoperability standards.

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OpenAlex reports 48 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

Interoperability is generally defined as the ability to exchange data and to make use of these data within the receiving system. For information technology systems this definition makes perfect sense, as the exchange of data via common protocols in a shared infrastructure is the only way to make systems work with each other. For simulation systems, however, the exchange and use of data is necessary, but not sufficient. Simulation systems execute models, which represent purposeful abstractions and simplifications of a task-oriented reality. Meaningful interoperation of two systems requires the alignment of concepts represented in the underlying models. Composability ensures the alignment of these concepts by ensuring the consistent representation of interpretations of truth among all participating systems. The presented work uses a branch of mathematics called model theory to investigate definitions of interoperability and composability and provides the implications for verification and validation procedures, model-based approaches, and simulation interoperability standards.

Key concepts: Composability, Interoperation, Interoperability, Computer science, Data exchange, Distributed computing, Software engineering, Semantic interoperability

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Interoperability, Composability, and Their Implications for Distributed Simulation: Towards Mathematical Foundations of Simulation Interoperability — Research Paper | ScholarLens