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Littérature scientifique sur le sujet « Discrete-event simulations »

Auteur : Grafiati
Publié le 4 juin 2021
Mis à jour le 9 février 2022

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Articles de revues sur le sujet "Discrete-event simulations"

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Greenberg, Albert G., Boris D. Lubachevsky, and Isi Mitrani. "Superfast parallel discrete event simulations." ACM Transactions on Modeling and Computer Simulation 6, no. 2 (1996): 107–36. http://dx.doi.org/10.1145/232807.232818.

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Giannasi, Frank, Philip Lovett, and Anthony N. Godwin. "Enhancing confidence in discrete event simulations." Computers in Industry 44, no. 2 (2001): 141–57. http://dx.doi.org/10.1016/s0166-3615(00)00084-1.

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Pollatschek, M. A. "A library for discrete event simulations." ACM SIGSMALL/PC Notes 19, no. 1 (1993): 3–15. http://dx.doi.org/10.1145/155742.155745.

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Pukite, Paul, and Luke Ludwig. "Generic discrete event simulations using DEGAS :." ACM SIGAda Ada Letters XXVII, no. 3 (2007): 27–40. http://dx.doi.org/10.1145/1315607.1315592.

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Pidd, M., and R. A. Cassel. "Using Java to Develop Discrete Event Simulations." Journal of the Operational Research Society 51, no. 4 (2000): 405. http://dx.doi.org/10.2307/254167.

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Deligonul, Z. Seyda. "Antithetic Bias Reduction for Discrete-Event Simulations." Journal of the Operational Research Society 38, no. 5 (1987): 431. http://dx.doi.org/10.2307/2582732.

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Deligönül, Z. Şeyda. "Antithetic Bias Reduction for Discrete-Event Simulations." Journal of the Operational Research Society 38, no. 5 (1987): 431–37. http://dx.doi.org/10.1057/jors.1987.71.

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Pidd, M., and R. A. Cassel. "Using Java to develop discrete event simulations." Journal of the Operational Research Society 51, no. 4 (2000): 405–12. http://dx.doi.org/10.1057/palgrave.jors.2600898.

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Moiseev, Alexander, Anton Demin, Vadim Dorofeev, and Vasily Sorokin. "Discrete-Event Approach to Simulation of Queueing Networks." Key Engineering Materials 685 (February 2016): 939–42. http://dx.doi.org/10.4028/www.scientific.net/kem.685.939.

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The paper is devoted to basic principles to develop software queueing networks simulations. A mathematical model and general scheme of the queueing network are presented in the paper. Main network components and behavior parameters are described. The application can simulate the networks of rather complex configuration. Software under construction uses a discrete-event approach for the simulation process. Basic algorithm of the simulation is also presented.
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Obermaier, Christina, Raphael Riebl, Ali H. Al-Bayatti, Sarmadullah Khan, and Christian Facchi. "Measuring the Realtime Capability of Parallel-Discrete-Event-Simulations." Electronics 10, no. 6 (2021): 636. http://dx.doi.org/10.3390/electronics10060636.

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Speeding up Discrete Event Simulations (DESs) is a broad research field. Promising Parallel Discrete Event Simulation (PDES) approaches with optimistic and conservative synchronisation schemes have emerged throughout the years. However, in the area of real-time simulation, PDESs are rarely considered. This is caused by the complex problem of fitting parallel executed DES models to a real-time clock. Hence, this paper gives an extensive review of existing conservative and optimistic synchronisation schemes for PDESs. It introduces a metric to compare their real-time capabilities to determine wh
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Thèses sur le sujet "Discrete-event simulations"

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Richardson, D. S. "Terminating parallel discrete event simulations." Thesis, This resource online, 1991. http://scholar.lib.vt.edu/theses/available/etd-03172010-020620/.

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Dave, Jagrut Durdant. "Parallel Discrete Event Simulation Techniques for Scientific Simulations." Thesis, Georgia Institute of Technology, 2005. http://hdl.handle.net/1853/6942.

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Exponential growth in computer technology, both in terms of individual CPUs and parallel technologies over the past decades has triggered rapid progress in large scale simulations. However, despite these achievements it has become clear that many conventional state-of-the-art techniques are ill-equipped to tackle problems that inherently involve multiple scales in configuration space. Our difficulty is that conventional ("time driven" or "time stepped") techniques update all parts of simulation space (fields, particles) synchronously, i.e. at time intervals assumed to be the same throughout th
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Jundén, Linus. "Discrete Event Simulations in Forest Technology." Thesis, Umeå universitet, Institutionen för fysik, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-45678.

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Development of a tool for discrete event simulations in forest technology, dependent onspatial components, has successfully been initialized in this thesis project. These simulations may be used to optimize the way the forest is used and to evaluate new machine concepts in forestry. The Python library for discrete event simulation, SimPy, was chosen as the foundationfor the tool. The developed tool can handle spatial objects such as moving machines, trees and boulders. Support for continuous linear movements was also added, which has resulted in a model that partially overlaps continuous and d
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Glazer, D. W. (David William). "Load balancing parallel discrete event simulations." Thesis, McGill University, 1992. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=39384.

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This thesis presents several load balancing algorithms for parallel discrete event simulations executed under both optimistic and conservative mechanisms. The algorithms rest upon recent developments in active process migration, which permits the use of dynamic strategies. Dynamic load balancing allow for re-adjustments when resource requirements vary during simulation. It is also useful when initial resource predictions are unknown or incorrect.<br>A simulated multi-processor environment (PARALLEX) was developed in order to evaluate the algorithms. Results indicate that substantial performanc
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Ulu, Buket. "Monitoring And Checking Of Discrete Event Simulations." Master's thesis, METU, 2003. http://etd.lib.metu.edu.tr/upload/1053305/index.pdf.

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Discrete event simulation is a widely used technique for decision support. The results of the simulation must be reliable for critical decision making problems. Therefore, much research has concentrated on the verification and validation of simulations. In this thesis, we apply a well-known dynamic verification technique, assertion checking method, as a validation technique. Our aim is to validate the particular runs of the simulation model, rather than the model itself. As a case study, the operations of a manufacturing cell have been simulated. The cell, which is METUCIM Laboratory at the Me
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Sanjeevan, Vasant. "The cost of terminating parallel discrete-event simulations." Thesis, This resource online, 1992. http://scholar.lib.vt.edu/theses/available/etd-09292009-020138/.

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Falcigno, Steven V. "The Simulation Engine, a platform for developing industrial process knowledge-based discrete event simulations." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk2/tape16/PQDD_0009/MQ33370.pdf.

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Child, Ryan. "Performance and Power Optimization of Parallel Discrete Event Simulations Using DVFS." University of Cincinnati / OhioLINK, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1342730759.

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Higiro, Julius Didier. "MANAGING PENDING EVENTS IN SEQUENTIAL & OPTIMISTIC PARALLEL DISCRETE EVENT SIMULATIONS." Miami University / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=miami1512034353883027.

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Stoffers, Mirko [Verfasser]. "Automated Optimization of Discrete Event Simulations without Knowing the Model / Mirko Stoffers." Düren : Shaker, 2019. http://d-nb.info/1200808460/34.

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Livres sur le sujet "Discrete-event simulations"

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Nicol, David. The cost of conservative synchronization in parallel discrete event simulations. Institute for Computer Applications in Science and Engineering, NASA Langley Research Center, 1990.

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Dudewicz, Edward J. Tutorial: Modern design and analysis of discrete-event computer simulations. IEEE Computer Society Press, 1985.

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A, Karian Zaven, ed. Tutorial, modern design and analysis of discrete-event computer simulations. IEEE Computer Society Press, 1985.

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Fishman, George S. Discrete-Event Simulation. Springer New York, 2001. http://dx.doi.org/10.1007/978-1-4757-3552-9.

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Banks, Jerry. Discrete-event system simulation. 2nd ed. Prentice Hall, 1996.

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Banks, Jerry. Discrete-event system simulation. 5th ed. Prentice Hall, 2010.

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Banks, Jerry. Discrete-event system simulation. 3rd ed. Prentice Hall, 2001.

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Watkins, Kevin. Discrete event simulation in C. McGraw-Hill, 1993.

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Conceptual modeling for discrete-event simulation. Taylor & Francis, 2011.

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Robinson, Stewart. Conceptual modeling for discrete-event simulation. CRC Press, 2011.

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Chapitres de livres sur le sujet "Discrete-event simulations"

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Fujimoto, Richard, Alfred Park, and Jen-Chih Huang. "Towards Flexible, Reliable, High Throughput Parallel Discrete Event Simulations." In Recent Advances in Modeling and Simulation Tools for Communication Networks and Services. Springer US, 2007. http://dx.doi.org/10.1007/978-0-387-73908-3_13.

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Hoekstra, A. G., L. Dorst, M. Bergman, et al. "High Performance Discrete Event Simulations to evaluate Complex Industrial Systems." In High-Performance Computing and Networking. Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/bfb0031578.

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Davoli, Giovanni, Peter Nielsen, Gabriele Pattarozzi, and Riccardo Melloni. "Practical Considerations about Error Analysis for Discrete Event Simulations Model." In IFIP Advances in Information and Communication Technology. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-40361-3_90.

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Guclu, Hasan, György Korniss, Zoltán Toroczkai, and Mark A. Novotny. "Small-World Synchronized Computing Networks for Scalable Parallel Discrete-Event Simulations." In Complex Networks. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-44485-5_12.

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Liebl, Franz. "A Conceptual Framework for the Design and Validation of Discrete-Event Simulations." In Operations Research Proceedings 1993. Springer Berlin Heidelberg, 1994. http://dx.doi.org/10.1007/978-3-642-78910-6_120.

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Karimabadi, Homa, Jonathan Driscoll, Jagrut Dave, et al. "Parallel Discrete Event Simulations of Grid-Based Models: Asynchronous Electromagnetic Hybrid Code." In Applied Parallel Computing. State of the Art in Scientific Computing. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11558958_68.

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Nikolaidis, Ioanis. "On the Feasibility of Time-Parallel Discrete Event Simulations Over Local and Wide Area Networks." In The Kluwer International Series in Engineering and Computer Science. Springer US, 2002. http://dx.doi.org/10.1007/978-1-4615-0849-6_4.

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Nagaraj, Sushma, and Armin Zimmermann. "A Software Tool for the Evaluation of Transient Removal Methods in Discrete Event Stochastic Simulations." In Systems Modeling: Methodologies and Tools. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-92378-9_18.

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Fishman, George S. "Simulation in Perspective." In Discrete-Event Simulation. Springer New York, 2001. http://dx.doi.org/10.1007/978-1-4757-3552-9_1.

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Fishman, George S. "Preparing the Input." In Discrete-Event Simulation. Springer New York, 2001. http://dx.doi.org/10.1007/978-1-4757-3552-9_10.

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Actes de conférences sur le sujet "Discrete-event simulations"

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Erb, Benjamin, and Frank Kargl. "Combining Discrete Event Simulations and Event Sourcing." In Seventh International Conference on Simulation Tools and Techniques. ICST, 2014. http://dx.doi.org/10.4108/icst.simutools.2014.254624.

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Babulak, Eduard. "Trends in Discrete Event Simulations." In 2008 Second UKSIM European Symposium on Computer Modeling and Simulation (EMS). IEEE, 2008. http://dx.doi.org/10.1109/ems.2008.107.

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Pukite, Paul, and Luke Ludwig. "Generic discrete event simulations using DEGAS:." In the 2007 ACM international conference. ACM Press, 2007. http://dx.doi.org/10.1145/1315580.1315592.

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Rao, Dhananjai. "Session details: Parallel Discrete Event Simulations." In SIGSIM-PADS '20: SIGSIM Principles of Advanced Discrete Simulation. ACM, 2020. http://dx.doi.org/10.1145/3406362.

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"Power Consumption of Future Event List Implementations in Discrete Event Simulations." In 2018 Spring Simulation Multi-Conference. Society for Modeling and Simulation International (SCS), 2018. http://dx.doi.org/10.22360/springsim.2018.anss.017.

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McKay, Kenneth N., John A. Buzacott, John B. Moore, and Christopher J. Strang. "Software engineerng applied to discrete event simulations." In the 18th conference. ACM Press, 1986. http://dx.doi.org/10.1145/318242.318481.

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Goldstein, Rhys. "Session details: Session 8: Discrete Event Simulations." In SIGSIM-PADS '21: SIGSIM Conference on Principles of Advanced Discrete Simulation. ACM, 2021. http://dx.doi.org/10.1145/3467669.

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Waddell, Brandon, and James F. Leathrum. "A Multithreaded Simulation Executive in Support of Discrete Event Simulations." In 2019 Winter Simulation Conference (WSC). IEEE, 2019. http://dx.doi.org/10.1109/wsc40007.2019.9004666.

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Sköld, Sven, and Robert Rönngren. "Event sensitive state saving in time warp parallel discrete event simulations." In the 28th conference. ACM Press, 1996. http://dx.doi.org/10.1145/256562.256779.

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Holland, David Ames, and Scott C. R. Henry. "Using Data Mining Tools To Build Integrated Discrete-Event Simulations." In 2007 Winter Simulation Conference. IEEE, 2007. http://dx.doi.org/10.1109/wsc.2007.4419902.

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Rapports d'organisations sur le sujet "Discrete-event simulations"

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Tarca, Silvio, Stephan Eidenbenz, and Lukas Kroc. EconoSim: discrete event simulations of an agent-based model of the U.S. economy. Office of Scientific and Technical Information (OSTI), 2011. http://dx.doi.org/10.2172/1084579.

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De Vries, R. C. Distributed discrete event simulation. Final report. Office of Scientific and Technical Information (OSTI), 1988. http://dx.doi.org/10.2172/437712.

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McMillan, B. K. Simone, a Discrete Event Simulation Supervisor. Defense Technical Information Center, 1988. http://dx.doi.org/10.21236/ada195600.

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Glynn, Peter W., and Donald L. Iglehart. Computational and Statistical Issues in Discrete-Event Simulation. Defense Technical Information Center, 1989. http://dx.doi.org/10.21236/ada210743.

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Ponomarev, Dmitry, and Nael Abu-Ghazaleh. Scalable Algorithms for Parallel Discrete Event Simulation Systems in Multicore Environments. Defense Technical Information Center, 2013. http://dx.doi.org/10.21236/ada581172.

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Riley, George, Elizabeth Lynch, and Brian Swenson. Hardware Supported Multi-Core Communications for Efficient Parallel Discrete Event Simulation. Defense Technical Information Center, 2012. http://dx.doi.org/10.21236/ada560398.

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Su, Wen-King, and Charles L. Seitz. Variants of the Chandy-Misra-Bryant Distributed Discrete-Event Simulation Algorithm. Defense Technical Information Center, 1988. http://dx.doi.org/10.21236/ada447721.

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Shanahan, K. L. Discrete event simulation of the Defense Waste Processing Facility (DWPF) analytical laboratory. Office of Scientific and Technical Information (OSTI), 1992. http://dx.doi.org/10.2172/10141324.

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Abu-Ghazaleh, Nael. Optimized Parallel Discrete Event Simulation (PDES) for High Performance Computing (HPC) Clusters. Defense Technical Information Center, 2005. http://dx.doi.org/10.21236/ada438052.

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Shanahan, K. L. Discrete event simulation of the Defense Waste Processing Facility (DWPF) analytical laboratory. Office of Scientific and Technical Information (OSTI), 1992. http://dx.doi.org/10.2172/5538906.

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