Abstract
Bu çalışmada, sürekli olay simülasyonlarının durum vektörüyle kesikli bir uzaya resmedilmesi, etmen tabanlı zeki koşum kayıt
mekanizması ve sorgu betik yapısı ele alınmıştır. Zeki kayıt mekanizması, “Doğru verinin, doğru zamanda kaydedilmesi” olarak
tanımlanmıştır. Simülasyon modelinin yürüttüğü tüm hesaplamalar ve muhakeme mekanizmasıyla (reasoning engine) yaptığı
tüm çıkarımlar, koşum izi etmeni olarak tanımlanan ve durum programlama yaklaşımıyla kontrol edilen, yapılar olarak
tanımlanır. Modeller arası semantik ilişkilendirmelerin koşum etmenlerine olan fonksiyonel yansımaları için betik yapılar
tasarlanmış ve bu amaçla, kaydedilen veriler için özel bir betik sorgu yapısı geliştirilmiştir. Simülasyon modellerinin ve
etmenlerin geliştirildiği ve işletildiği EtSiS (Etmen tabanlı Simülasyon Sistemi)’in ontolojik betimlemesinin bir parçası olan,
ilişki kavramının işletim sonrası koşum yörüngesi sorgulamada nasıl kullanıldığı ve kayıt mekanizmasının yönetiminin nasıl
yürütüldüğü, bir örnekle, gösterilmiştir.
Keywords
EtSiS Simülasyon çıktı analizi Simülasyon yörüngesi Simülasyon yörünge sorgusu Sorgu betiği Varlıklar arası ilişki
References
- H. Nomoto, “State Oriented Programming,” in Proceedings of the Eighth IEEE International Symposium on High Assurance Systems Engineering (HASE’04), 2004, 2004.
- A. Sterkin, “State-Oriented Programming,” in 6th MPOOL Workshop, Cyprus, 2008.
- M. F. Hocaoglu, “EtSiS: Etmen tabanlı Simülasyon Sistemi,” in 4. Ulusal Savunma Uygulamaları Modelleme ve Simülasyon Konferansı, USMOS’2011, 2011.
- E. Meneses and L. V Kalé, “CAMEL : Collective-aware Message Logging,” no. March, pp. 2516–2538, 2015.
- P. Kemper and C. Tepper, “Automated trace analysis of discrete-event system models,” IEEE Trans. Softw. Eng., vol. 35, no. 2, pp. 195–208, 2009.
- V. Vasyutynskyy, A. Gellrich, K. Kabitzsch, and D. Wustmann, “Analysis of internal logistic systems based on event logs,” in IEEE conference on emerging technologies and factory automation (ETFA), 2010.
- M. Johnstone, V. T. Le, J. Zhang, B. Gunn, S. Nahavandi, and D. Creighton, “A dynamic time warped clustering technique for discrete event simulation-based system analysis,” Expert Syst. Appl., vol. 42, no. 21, pp. 8078–8085, 2015.
- D. W. Kelton, R. Sadowski, and D. T. Sturrock, Simulation with Arena. McGraw-hill Publisher, 2006.
- C. Dennis Pegden, R. E. Shannon, and R. P. Sadowski, Introduction to Simulation Using Siman. McGraw-Hill, 1995.
- M. F. Hocaoglu, “AdSiF : Agent Driven Simulation Framework,” in Hunstville Simulation Conference -HSC2005, 2005.
- M. F. Hocaoğlu, “AdSiF: Agent driven simulation framework paradigm and ontological view,” Sci. Comput. Program., vol. 167, pp. 70–90, 2018.
- M. F. Hocaoglu, “Aspect Oriented Programming Perspective in Software Agents and Simulation,” Int. J. Adv. Technol., 2017.
- E. Cellier, F. E., Kofman, Continuous System Simulation, Springer. Springer., 2006.
- D. J. Murray-Smith, Continuous System Simulation. University og Glasgow, Glasgow, UK: Chapman & Hall, 1995.
Abstract
In this study, a method to map continuous event simulations into discrete event spaces using state vectors, an agent-based intelligent execution trace mechanism and a query script structure are represented. The intelligent trace mechanism is defined as “the correct data being recorded at the right time”. All calculations carried out by simulation models and all inferences made by the reasoning engine are defined as structures that are defined as trace agents and controlled by State Oriented Programming approach. Scripting structures have been designed for the functional implications of the inter-model semantic associations to the execution, and for this purpose a special scripting query structure has been developed for the traced data. How the concept of relationship, which is a part of ontological commitment of AdSiF (Agent driven Simulation Framework), which all simulation models and agents are developed and executed, is used in questioning the execution trajectory and how the management of the recording mechanism is carried out are shown with an example.
Keywords
AdSiF Entity relation Simulation output analysis Simulation trajectory Query script Trace query
References
- H. Nomoto, “State Oriented Programming,” in Proceedings of the Eighth IEEE International Symposium on High Assurance Systems Engineering (HASE’04), 2004, 2004.
- A. Sterkin, “State-Oriented Programming,” in 6th MPOOL Workshop, Cyprus, 2008.
- M. F. Hocaoglu, “EtSiS: Etmen tabanlı Simülasyon Sistemi,” in 4. Ulusal Savunma Uygulamaları Modelleme ve Simülasyon Konferansı, USMOS’2011, 2011.
- E. Meneses and L. V Kalé, “CAMEL : Collective-aware Message Logging,” no. March, pp. 2516–2538, 2015.
- P. Kemper and C. Tepper, “Automated trace analysis of discrete-event system models,” IEEE Trans. Softw. Eng., vol. 35, no. 2, pp. 195–208, 2009.
- V. Vasyutynskyy, A. Gellrich, K. Kabitzsch, and D. Wustmann, “Analysis of internal logistic systems based on event logs,” in IEEE conference on emerging technologies and factory automation (ETFA), 2010.
- M. Johnstone, V. T. Le, J. Zhang, B. Gunn, S. Nahavandi, and D. Creighton, “A dynamic time warped clustering technique for discrete event simulation-based system analysis,” Expert Syst. Appl., vol. 42, no. 21, pp. 8078–8085, 2015.
- D. W. Kelton, R. Sadowski, and D. T. Sturrock, Simulation with Arena. McGraw-hill Publisher, 2006.
- C. Dennis Pegden, R. E. Shannon, and R. P. Sadowski, Introduction to Simulation Using Siman. McGraw-Hill, 1995.
- M. F. Hocaoglu, “AdSiF : Agent Driven Simulation Framework,” in Hunstville Simulation Conference -HSC2005, 2005.
- M. F. Hocaoğlu, “AdSiF: Agent driven simulation framework paradigm and ontological view,” Sci. Comput. Program., vol. 167, pp. 70–90, 2018.
- M. F. Hocaoglu, “Aspect Oriented Programming Perspective in Software Agents and Simulation,” Int. J. Adv. Technol., 2017.
- E. Cellier, F. E., Kofman, Continuous System Simulation, Springer. Springer., 2006.
- D. J. Murray-Smith, Continuous System Simulation. University og Glasgow, Glasgow, UK: Chapman & Hall, 1995.
Details
| Primary Language | Turkish |
|---|---|
| Journal Section | Articles |
| Authors | |
| Publication Date | January 31, 2019 |
| Submission Date | November 12, 2018 |
| Published in Issue | Year 2019 Volume: 11 Issue: 1 |
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