Last edited by Migar
Monday, July 13, 2020 | History

3 edition of Synchronization of autonomous objects in discrete event simulation found in the catalog.

Synchronization of autonomous objects in discrete event simulation

Synchronization of autonomous objects in discrete event simulation

  • 76 Want to read
  • 4 Currently reading

Published by National Aeronautics and Space Administration, National Technical Information Service, distributor in [Washington, DC, Springfield, Va .
Written in English

    Subjects:
  • Discrete-time systems.,
  • Object-oriented programming (Computer science)

  • Edition Notes

    StatementRalph V. Rogers.
    SeriesNASA contractor report -- NASA CR-189534.
    ContributionsUnited States. National Aeronautics and Space Administration.
    The Physical Object
    FormatMicroform
    Pagination1 v.
    ID Numbers
    Open LibraryOL15368757M

    Extended Example: Discrete-Event Simulation in R Discrete-event simulation (DES) is widely used in business, industry, and gov- ernment. The term discrete event refers to the fact that the state of the system changes only in discrete quantities, rather than changing Size: 63KB. Autonomous Orchestration of Distributed Discrete Event Simulations in the Presence of Resource Uncertainty ZHIQUAN SUI, Colorado State University MATTHEW MALENSEK, Colorado State University NEIL HARVEY, University of Guelph SHRIDEEP PALLICKARA, Colorado State University Discrete event simulations model the behavior of complex, real-world systems.

    Discrete-event simulation consists of a collection of techniques that when applied to a discrete-event dynamical system, generates sequences called sample paths that characterize its behavior. This book is intended for upper level undergraduate and graduate students in operations research and management science, mathematics, industrial. Traditional discrete-event simulations employ an inherently sequential algorithm. In practice, simulations of large systems are limited by this sequentiality, because only a modest number of events can be simulated. Distributed discrete-event simulation (carried.

      Agent-based modeling, System Dynamics or Discrete-event Simulation; Modeling Paradigm for Supply Chains Simulation 1. Evaluation of Paradigms forModeling Supply Chains as Complex Socio-technical Systems Behzad Behdani Faculty of Technology, Policy and Management Delft University of Technology 2. For the efficiency of energy utilization, we make the first attempt to introduce a dynamic event-triggering strategy into the design of synchronization controllers for complex dynamical networks. A new discrete-time version of the dynamic event-triggering mechanism is proposed in terms of the absolute errors between control input by:


Share this book
You might also like
Sandwell environmental education directory.

Sandwell environmental education directory.

Inventory of the morphometric and limnologic characteristics of the large lakes of the world

Inventory of the morphometric and limnologic characteristics of the large lakes of the world

Virginia

Virginia

Dis. Classic Movie 63pc Pzl 4t

Dis. Classic Movie 63pc Pzl 4t

classified bibliography of literature on the Acts of the Apostles

classified bibliography of literature on the Acts of the Apostles

Saint-Gaudens National Historic Site

Saint-Gaudens National Historic Site

Subsonic/transonic stall flutter investigation of a rotating rig

Subsonic/transonic stall flutter investigation of a rotating rig

The saints treasury·

The saints treasury·

A Handbook of Orchestration (Library of Music and Musicians)

A Handbook of Orchestration (Library of Music and Musicians)

journal from Grand Cairo to Mount Sinai, and back again

journal from Grand Cairo to Mount Sinai, and back again

Education through life

Education through life

Quotations from James Connolly

Quotations from James Connolly

Liners in Art

Liners in Art

Reading: seventy-five years of progress

Reading: seventy-five years of progress

Programmable automation

Programmable automation

Synchronization of autonomous objects in discrete event simulation Download PDF EPUB FB2

Methods for autonomous objects in object-oriented, event-driven, discrete event simulation. OBJECT SYNCHRONIZATION In traditional discrete event simulation, the two established methods of simulation models are event-driven and time-driven model.

In time-driven simulation modeling, time is advanced in fixed increments. With every. Get this from a library. Synchronization of autonomous objects in discrete event simulation. [Ralph V Rogers; United States.

National Aeronautics and Space Administration.]. A discrete-event simulation (DES) models the operation of a system as a sequence of events in time.

Each event occurs at a particular instant in time and marks a change of state in the system. Between consecutive events, no change in the system is assumed to occur; thus the simulation time can directly jump to the occurrence time of the next event, which is called next-event time progression. Parallel discrete event simulation (PDES) is a widely used approach to modeling complex systems, especially those without governing differential equations.

To construct a PDES model one decomposes the system into logical processes (LPs), each with its own. Integrating Discrete Event Simulation (DES) and System Dynamics (SD) simulation methods require synchronization of their simulation clocks to ensure that actions are executed in an orderly manner.

This paper presents a synchronization methodology for integrating DES and SD models. A hybrid simulation. KEY BENEFIT: While most books on simulation focus on particular software tools, Discrete Event System Simulation examines the principles of modeling and analysis that translate toallsuch language-independent resource explains the basic aspects of the technology, including the proper collection and analysis of data, the use of analytic techniques, verification and validation of Cited by: ISI Short Book Reviews, Vol.

22/2, August "This page book is primarily a text to support the teaching of discrete-event simulation for post-graduates and final-year undergraduates. The book is a reasonably full, theory based, introduction to the technique of discrete-event by: based on theory.

Discrete-event simulation models include a detailed representation of the actual internals. Discrete-event models are dynamic, i.e., the passage of time plays a crucial role.

Most mathematical and statistical models are static in that they represent a system at a fixed point in time. Consider the annual budget of a Size: 45KB. For Junior & Senior level simulation courses in engineering, business, or computer science. This text provides a basic treatment of discrete-event simulation, including the proper collection and analysis of data, the use of analytic techniques, verification and validation of models, and designing simulation experiments/5.

Autonomous, Failure-resilient Orchestration of Distributed Discrete Event Simulations Matthew Malensek1, Zhiquan Sui1, Neil Harvey2, and Shrideep Pallickara1 1Department of Computer Science, Colorado State University, Fort Collins, CO, USA 2School of Computer Science, University of Guelph, Guelph, ON, Canada {malensek, simonsui, shrideep}@, [email protected] Object-Oriented Computer Simulation of Discrete-Event Systems offers a comprehensive presentation of a wide repertoire of computer simulation techniques available to the modelers of dynamic systems.

Unlike other books on simulation, this book includes a complete and balanced description of all essential issues relevant to computer simulation of discrete event systems, and it teaches simulation.

event simulation is defined by the following three attributes: a stochastic, dynamic, and discrete‐event model. The simulation method known as a Monte Carlo Simulation is similar to discrete event simulation, but is static, meaning that time does not factor into simulating (Leemis and Park, ).

Discrete event simulation (DES) has gained. This book provides a basic treatment of discrete-event simulation, one of the most widely used operations research and management science tools for dealing with system design in the presence of uncertainty.

Proper collection and analysis of data, use of analytic techniques, verification and validation of models and the appropriate design of simulation experiments are treated extensively.

In a discrete-event simulation, an event is an interaction between objects in the system. True. True or False. A concrete model is an abstraction of a real system not simulated in software.

True. True or False. An illumination model deals with light interacting at one point on an object. Introduction to Simulation WS01/02 - L 04 30/40 Graham Horton • Remove and process 1st primary event: – Remove 1st primary event from FEL – Advance simulation time – Update state variables – Enter new future events into FEL sc–Citsiom setaputt • Every discrete-event simulator works like this (even if the programming model looks File Size: KB.

I have two classes, Neuron and Synapse(synapse has sub classes primary, secondary). When a Neuron's voltage exceeds its threshold it fires but also sends an impulse to all Synapses. I created a method which creates an event when voltage > threshold. My Question is: how to I create an event to trigger an event of an object from another class.

However, the trend today is to simply develop simulation libraries which can be called from ordinary languages such as C++, instead of inventing entire new languages.1 So, the central focus today is on the programming paradigms, not on language.

In this section we will present an overview of the three major discrete-event simulation Size: KB. The discrete event simulator core of GES allows to declare certain objects as entities, representing real-world objects in the simulation [14] that are able to communicate with other entities over.

Discrete Event Simulation: State of the Art. By Eduard Babulak and Ming Wang. Open access peer-reviewed. A Dynamically Configurable Discrete Event Simulation Framework for Many-Core Chip Multiprocessors. By Jaehwan Lee and Christopher Barnes.

Open access peer-reviewed. Modeling Methods Based on Discrete Algebraic Systems Cited by: 5. Since Discrete-event simulation has proven to be a valuable tool in these situations, as will be explained in the theoretical background of the study, it is the method of choice to be used to gain insight into these questions in order to support the decision making Size: 3MB.

Introduction to Discrete-Event Simulation Reference book: "Simulation, Modeling & Analysis (3/e) by Law and Kelton, " Outline System, Model, and Simulation • System: Discrete and Continuous - is composed of objects called entities that have certain properties called attributes State.For Junior & Senior level simulation courses in engineering, business, or computer science.

This text provides a basic treatment of discrete-event simulation, including the proper collection and analysis of data, the use of analytic techniques, verification and validation of models, and designing simulation experiments.

It offers an up-to-date treatment of simulation of manufacturing and Reviews: 2. This paper is the first of its type in that it provides an empirical study comparing the two simulation approaches of discrete-event simulation (DES) and system dynamics (SD).Author: Robert Maidstone.