Abstract
The new framework for macro-designing and implementation of complex process control systems (PCS) is presented. The core of this approach is integrated multi-dimensional modeling and technological toolkit, which provides adaptive and scalable software solutions with respect to system performance and reliability. This framework was used successfully in real-life PCS-projects performed for some gas-production enterprises in Ukraine.
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Bhowmick, S., Kaushik, D., McInnes, L., et al.: Parallel Adaptive Solvers in Compressible PETSc-FUN3D Simulations. In: Proceedings of the 17th International Conference on Parallel Computational Fluid Dynamics, University of Maryland, College Park, MD, May 24–27, 2006 (2006)
Bosilca, G., Chen, Z., Dongarra, J., et al.: Self-Adapting Numerical Software SANS Effort. UTK CS Technical Report UT-CS-05-554, IBM Journal of Research and Development 50(2/3), 223–238 (2005)
Dubois, D., Prade, H.: Theorie des Possibilites, Masson, Paris (1988)
Herring, C.: Viable Software: The Intelligent Control Paradigm for Adaptable and Adaptive Architecture.: PhD dissertation, Dept of Computer Science and Electrical Engineering, University if Queensland, Brisbane (2002)
Highsmith, J.: Adaptive Software Development. Dorset House Publishing (2000)
Kruchten, Ph.: Architectural Blueprints: The “4+1” View Model of Software Architecture. IEEE Software 12(6), 42–50 (1995)
Miller, S.D., DeCario, R.A., Mathur, A.P.: A Software Cybernetic Approach to Control of Software Test Phase. In: Computer Software and Applications Conference, Proceeding of the 29th Annual International, vol. 2, pp. 103–108 (2005)
Norris, B.: Software Architecture Approaches for Adaptive Scientific Computing. In: Dongarra, J., Madsen, K., Waśniewski, J. (eds.) PARA 2004. LNCS, vol. 3732, pp. 629–636. Springer, Heidelberg (2006)
Pospelov, D.: Logical-linguistic Models in Control Systems, Moscow, Energoizdat (1981)
Tang, A., Jin, Y., Han, J., Nicholson, A.: Predicting Change Impact in Architecture Design with Bayesian Belief Networks. In: Proceeding of the 5th IEEP/IFIP Conference on Software Architecture (2005)
Tkachuk, N., Godlevsky, M., Zemlyanoy, A., Gamzayev,: Fuzzy-Logic Modeling Approach and Software Solutions for System Requirements Management. In: Lecture Notes in Informatics (LNI) Proceedings. Series of the German Informatics Society (GI), vol. P-84, pp. 185–188 (Printed in Bonn, 2006)
Tkachuk, N., Mayr, H.C., Kuklenko, D., Godlevsky, M.: Web-based Process Control Systems: Architectural patterns, Data Models, and Services. In: Shafazand, H., Tjoa, A.M. (eds.) EurAsia-ICT 2002. LNCS, vol. 2510, pp. 721–729. Springer, Heidelberg (2002)
Tkachuk, N., Pester, A., Kuklenko, D., Zemlyaniy, A.: Remote Process Control Framework in Gas-Production Domain: Web-based Software Solutions, Intelligent Data Processing and Simulation. In: Carinthia Tech Institute, 1st International Symposium on Remote Engineering and Virtual Instrumentation (REV-2004), Villach, Austria (2004)
Tkachuk, N., Polkovnikov, S., Al-Hassanie, Z.: Multi-level Composed Framework for Simulation and Estimation of Component-based Software Solutions. In: Radio-electronic and Computerized Systems, National Aerospace University, Kharkiv, vol. 4, pp. 93–99 (2006)
Tkachuk, M., Sokol, V., Mayr, H.C., Godlevsky, M.: A Knowledge-based Approach to Traceability and Maintenance of Requirements for Information Systems. J. Problems of Programming, Kiev (2–3), 370–378 (2004)
Tkachuk, N., Zemlyaniy, A., Soloshuk, V.: Architecture and Implementation Technology of Simulation Tools for Component-based Software Solutions. In: Computerized Control Systems and Devices, National University of Radio-Electronic, Kharkiv, vol. 126, pp. 71–77 (2004)
Yau, S., Huang, D., Zhu, L., Cai, K.-Y.: A Software Cybernetics Approach to Deploying and Scheduling. In: Proceedings of the 11th IEEE International Workshop on Future Trends of Distributed Computing Systems (2007)
Zadeh, L.: The concept of a Linguistic Variable and its Application to Approximate Reasoning. Part I: J. Inf. Sci. 8, 199–249 (1975)
Zhang, J., Cheng, B.: Model-Based Development of Dynamically Adaptive Software. In: International Conference on Software Engineering (ICSE 2006), Shanghai, China, May 20–28 (2006)
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Tkachuk, M. (2008). Adaptive Macro-designing Technology for Complex Process Control Systems. In: Kaschek, R., Kop, C., Steinberger, C., Fliedl, G. (eds) Information Systems and e-Business Technologies. UNISCON 2008. Lecture Notes in Business Information Processing, vol 5. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-78942-0_33
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DOI: https://doi.org/10.1007/978-3-540-78942-0_33
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