Characterising Enterprise Application Integration Solutions as Discrete-Event Systems

ion and Implementation Strategies for Augmented Reality Authoring Florian Ledermann, Istvan Barakonyi and Dieter Schmalstieg (2007). Emerging Technologies of Augmented Reality: Interfaces and Design (pp. 138-159). www.igi-global.com/chapter/abstraction-implementation-strategies-augmentedreality/10162?camid=4v1a Exploring Emergence within Social Systems with Agent Based Models Marcia R. Friesen, Richard Gordon and Robert D. McLeod (2014). Interdisciplinary Applications of AgentBased Social Simulation and Modeling (pp. 52-71). www.igi-global.com/chapter/exploring-emergence-within-social-systems-with-agent-basedmodels/106761?camid=4v1a Simulation and Modelling Knowledge-Mining Architectures Using Recurrent Hybrid Nets David Al-Dabass (2008). Simulation and Modeling: Current Technologies and Applications (pp. 266-306). www.igi-global.com/chapter/simulation-modelling-knowledge-miningarchitectures/28990?camid=4v1a Virtual Modelling of Prehistoric Sites and Artefacts by Automatic Point-Cloud Surveys Mercedes Farjas, Francisco J. García-Lázaro, Julio Zancajo, Teresa Mostaza and Nieves Quesada (2011). Virtual Technologies for Business and Industrial Applications: Innovative and Synergistic Approaches (pp. 201-217). www.igi-global.com/chapter/virtual-modelling-prehistoric-sites-artefacts/43412?camid=4v1a

[1]  Rafael Corchuelo,et al.  A Domain-Specific Language to Design Enterprise Application Integration Solutions , 2011, Int. J. Cooperative Inf. Syst..

[2]  N. Raghavendra Rao,et al.  Virtual Technologies for Business and Industrial Applications: Innovative and Synergistic Approaches , 2010 .

[3]  Jeffrey D. Ullman,et al.  Introduction to Automata Theory, Languages and Computation , 1979 .

[4]  V. Hlupic.  Business process modelling: potential benefits and obstacles for wider use , 2003 .

[5]  Averill M. Law,et al.  Simulation Modeling and Analysis , 1982 .

[6]  Mercedes Farjas,et al.  Virtual Modelling of Prehistoric Sites and Artefacts by Automatic Point-Cloud Surveys , 2011 .

[7]  S. C. Choi,et al.  Maximum Likelihood Estimation of the Parameters of the Gamma Distribution and Their Bias , 1969 .

[8]  Yoshihiro Tohma,et al.  The Estimation of Parameters of the Hypergeometric Distribution and Its Application to the Software Reliability Growth Model , 1991, IEEE Trans. Software Eng..

[9]  Mark Fisher,et al.  Spring Integration in Action , 2012 .

[10]  Jacques Janssen,et al.  Applied Semi-Markov Processes , 2005 .

[11]  Stewart Robinson,et al.  Simulation: The Practice of Model Development and Use , 2004 .

[12]  Ray J. Paul,et al.  Discrete event simulation model reduction: A causal approach , 2006, Simul. Model. Pract. Theory.

[13]  John Odentrantz,et al.  Markov Chains: Gibbs Fields, Monte Carlo Simulation, and Queues , 2000, Technometrics.

[14]  D. Kendall.  Stochastic Processes Occurring in the Theory of Queues and their Analysis by the Method of the Imbedded Markov Chain , 1953 .

[15]  Wil M.P. van der Aalst,et al.  Business process simulation , 2010, BPM 2010.

[16]  Ming Wang,et al.  Discrete Event Simulation: State of the Art , 2007, Int. J. Online Eng..

[17]  F. Haight.  Handbook of the Poisson Distribution , 1967 .

[18]  Michael Pidd,et al.  Computer Simulation in Management Science (3rd Edition) , 1998 .

[19]  Ray J. Paul,et al.  Adaptive stochastic search methods for parameter adaptation of simulation models , 2002, Proceedings First International IEEE Symposium Intelligent Systems.

[20]  Alan J. Mayne,et al.  Introduction to Simulation and SLAM , 1979 .

[21]  David Al-Dabass.  Simulation and Modelling Knowledge-Mining Architectures Using Recurrent Hybrid Nets , 2008 .

[22]  Claus Ibsen,et al.  Camel in Action , 2011 .

[23]  Gregor Hohpe.  Your Coffee Shop Doesn't Use Two-Phase Commit , 2005, IEEE Softw..

[24]  Shahrul Kamaruddin,et al.  Evaluating the performance of a multipart production system using discrete event simulation (DES) , 2013 .

[25]  Rafael Corchuelo,et al.  On the Design of a Domain Specific Language for Enterprise Application Integration Solutions , 2010, MoSE@TOOLS.

[26]  Marta Z. Kwiatkowska,et al.  PRISM 4.0: Verification of Probabilistic Real-Time Systems , 2011, CAV.

[27]  Victor Romero,et al.  Mule in Action , 2009 .

[28]  van der Wmp Wil Aalst,et al.  Business process simulation : how to get it right? , 2008 .

[29]  Carl M. Harris,et al.  Fundamentals of queueing theory , 1975 .

[30]  Jane Hillston,et al.  Process algebras for quantitative analysis , 2005, 20th Annual IEEE Symposium on Logic in Computer Science (LICS' 05).

[31]  Gregor Hohpe,et al.  Enterprise Integration Patterns: Designing, Building, and Deploying Messaging Solutions , 2003 .

[32]  P. Lions,et al.  On the Cauchy problem for Boltzmann equations: global existence and weak stability , 1989 .

[33]  Stephen Gilmore,et al.  The PEPA Workbench: A Tool to Support a Process Algebra-based Approach to Performance Modelling , 1994, Computer Performance Evaluation.

[34]  Carl M. Harris,et al.  Fundamentals of Queueing Theory: Gross/Fundamentals of Queueing Theory , 2008 .

[35]  Anthony M. Cresswell,et al.  An enterprise application integration methodology for e-government , 2005, J. Enterp. Inf. Manag..

[36]  Wil M. P. van der Aalst,et al.  Discovering simulation models , 2009, Inf. Syst..

[37]  Rafael Corchuelo,et al.  A software development kit to implement integration solutions , 2012, SAC '12.

[38]  Christos G. Cassandras,et al.  Introduction to Discrete Event Systems , 1999, The Kluwer International Series on Discrete Event Dynamic Systems.

[39]  J. Forrester.  Principles of systems : text and workbook, chapters 1 through 10 , 1968 .

[40]  Helder Coelho,et al.  Interdisciplinary Applications of Agent-Based Social Simulation and Modeling , 2014 .

[41]  Ulf Eriksson,et al.  Applying discrete event simulation and an automated bottleneck analysis as an aid to detect running production constraints , 2005, Proceedings of the Winter Simulation Conference, 2005..

[42]  Robert D. McLeod,et al.  Exploring Emergence within Social Systems with Agent Based Models , 2014 .

[43]  Y. Ho,et al.  Models of discrete event dynamic systems , 1990, IEEE Control Systems Magazine.

[44]  Pedro Jodrá.  Computing the Asymptotic Expansion of the Median of the Erlang Distribution , 2012 .

[45]  Evon M. O. Abu-Taieh,et al.  Simulation and Modeling: Current Technologies and Applications , 2007 .

[46]  Vlatka Hlupic,et al.  Business process modelling and analysis using discrete-event simulation , 1998, 1998 Winter Simulation Conference. Proceedings (Cat. No.98CH36274).

[47]  C. D. Gelatt,et al.  Optimization by Simulated Annealing , 1983, Science.

[48]  Klaus Wehrle,et al.  Predicting Runtime Performance Bounds of Expanded Parallel Discrete Event Simulations , 2011, 2011 IEEE 19th Annual International Symposium on Modelling, Analysis, and Simulation of Computer and Telecommunication Systems.

[49]  Fabricia Roos-Frantz,et al.  On the Formalisation of an Application Integration Language Using Z Notation , 2014, ICEIS.

[50]  Enes Makalic,et al.  Universal Models for the Exponential Distribution , 2009, IEEE Transactions on Information Theory.