Objective-driven DEVS modeling using OPI matrix for performance evaluation of discrete event systems
Tag Gon Kim, Chang Ho Sung
Abstract
Tag Gon Kim, Chang Ho Sung
Abstract
DEVS (Discrete Event Systems Specification) models are widely employed for simulation-based performance evaluation of discrete event systems. Performance modeling of such a system requires a pruning of a set of components, or objects, within the system in its subset which are eventually transformed into simulation models. Such modeling is objective-driven in that simulation models may be abstract enough to measure performance indices which reflect simulation objectives. This paper proposes a practical tool, called an OPI (Object-Performance Index) matrix which is useful for such pruning in the objective-driven DEVS modeling. It also presents transformation of the pruned objects to DEVS models for performance simulation. An overall procedure for the objective-driven DEVS modeling from given objectives is presented and a simple example is illustrated.
OpenAlex reports 10 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
DEVS (Discrete Event Systems Specification) models are widely employed for simulation-based performance evaluation of discrete event systems. Performance modeling of such a system requires a pruning of a set of components, or objects, within the system in its subset which are eventually transformed into simulation models. Such modeling is objective-driven in that simulation models may be abstract enough to measure performance indices which reflect simulation objectives. This paper proposes a practical tool, called an OPI (Object-Performance Index) matrix which is useful for such pruning in the objective-driven DEVS modeling. It also presents transformation of the pruned objects to DEVS models for performance simulation. An overall procedure for the objective-driven DEVS modeling from given objectives is presented and a simple example is illustrated.
Key concepts: DEVS, Discrete event simulation, Computer science, Pruning, Event (particle physics), Modeling and simulation, Measure (data warehouse), Simple (philosophy)