Operations research: principles and practice, 2nd ed.
Operations research: principles and practice, 2nd ed.
Object-oriented simulation with hierarchical, modular models: intelligent agents and endomorphic systems
Depth-limited search for real-time problem solving
Real-Time Systems
Concepts, methods, and languages for building timely intelligent systems
Real-Time Systems
Algorithms for Scheduling Imprecise Computations
Computer - Special issue on real-time systems
The design of real-time systems: from specification to implementation and verification
Software Engineering Journal - Special issue on real-time software
HRT-HOOD: a structured design method for hard real-time systems
Real-Time Systems
Formal timing analysis for distributed real-time programs
Real-Time Systems
A retargetable technique for predicting execution time of code segments
Real-Time Systems - Special issue: dependability of real-time software
Dynamic selection of models
WSC '96 Proceedings of the 28th conference on Winter simulation
A methodology for dynamic model abstraction
Transactions of the Society for Computer Simulation International - Special issue on model abstraction
Spreadsheet Modeling and Decision Analysis
Spreadsheet Modeling and Decision Analysis
Neural, Novel and Hybrid Algorithms for Time Series Prediction
Neural, Novel and Hybrid Algorithms for Time Series Prediction
Theory of Modelling and Simulation
Theory of Modelling and Simulation
Simulation Model Design and Execution: Building Digital Worlds
Simulation Model Design and Execution: Building Digital Worlds
Handbook of AI
Computers and Intractability: A Guide to the Theory of NP-Completeness
Computers and Intractability: A Guide to the Theory of NP-Completeness
A Survey of Research in Deliberative Real-Time Artificial Intelligence
A Survey of Research in Deliberative Real-Time Artificial Intelligence
Design-to-time Scheduling with Uncertainty
Design-to-time Scheduling with Uncertainty
A model validation methodology for isolating inconsistent knowledge between fuzzy rule-based and quantitative models using fuzzy simulation
Beyond speedup: PADS, the HLA and Web-based simulation
PADS '99 Proceedings of the thirteenth workshop on Parallel and distributed simulation
Model composability as a research investment: responses to the featured paper
Proceedings of the 32nd conference on Winter simulation
Real time simulation framework for RT-DEVS models
Transactions of the Society for Computer Simulation International - Recent advances in DEVS methodology--part II
The rube Framework for Personalized 3-D Software Visualization
Revised Lectures on Software Visualization, International Seminar
Proceedings of the 34th conference on Winter simulation: exploring new frontiers
Introducing a UML model for faster-than-real-time simulation
WSC '05 Proceedings of the 37th conference on Winter simulation
Petri net translation patterns for the analysis of ebusiness collaboration messaging protocols
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Information models for queueing system simulation
ACM Transactions on Modeling and Computer Simulation (TOMACS)
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When we build a model of real-time systems, we need ways of representing the knowledge about the system and also time requirements for simulating the model. Considering these different needs, our question is “How can we determine the optimal model that simulates the system by a given deadline while still producing valid outputs at an acceptable level of detail?” We have designed OOPM/RT (Object-Oriented Physical Modeler for Real-Time Simulation) methodology. The OOPM/RT framework has three phases: (1) Generation of multimodels in OOPM using both structural and behavioral abstraction techniques, (2) Generation of AT (Abstraction Tree) which organizes the multimodels based on the abstraction relationship to facilitate the optimal model selection process, and (3) Selection of the optimal model that guarantees the deliver simulation results by the given amount of time. A more-detailed model (low abstraction model) is selected when we have enough time to simulate, while a less-detailed model (high abstraction model) is selected when the deadline is immediate. The basic idea of selection is to trade structural information for a faster runtime while minimizing the loss of behavioral information. We propose two possible approaches for the selection: an integer-programming-based approach and a search-based approach. By systematically handling simulation deadlines while minimizing the modeler's interventions, OOPM/RT provides an efficient modeling environment for real-time systems.