Abstract
A distributed service oriented system which is developed to provide physical system or process monitoring, specification, analysis and simulation services are introduced in this paper. These services in separate components are developed to be used along with computer aided design systems to provide a support for designers in designing physical systems with efficient power consumption. All components of distributed system are presented to describe their role and interaction with Energy Simulator, which is developed by authors of this paper as a key component for simulation of the physical system and for calculation of energy consumption. Then, structure of Energy Simulator and its development process as well as solutions made to create flexible and scalable service oriented architecture is presented. Finally, the implementation of Energy Simulator and a case study devoted for designing of compressed air system is described together with discussion of various constraints of service oriented performance and practical simulation applying MATLAB based tools.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Altshuller, G.: 40 Principles. TRIZ Keys to Technical Innovation. Technical Innovation Center Inc., USA (1997)
Alzbutas, R., Janilionis, V.: The simulation of dynamic systems using combined modelling. Mathematical Modelling and Analysis 5, 7–17 (2000) ISSN 1392-6292
Alzbutas, R., Janilionis, V.: Dynamic systems simulation using APL2. In: Proceedings of APL 1999 International Conference on all Array Oriented Languages, pp. 20–25. ACM, Scranton (1999)
Alzbutas, R., Janilionis, V.: The combined modelling of dynamic system control. Science Works of Lithuanian Mathematicians Association III, 329–335 (1999)
Gehlen, G., Pham, L.: Mobile web services for peer-to-peer applications. In: Second IEEE Consumer Communications and Networking Conference, CCNC 2005 (2005)
Iesmantas, T., Alzbutas, R.: Age dependent hierarchical Bayesian modelling for reliability assessment under small data sample. To be Presented PSAM 11 & ESREL 2012 Conference (2012)
Kaya, D., Phelan, P., Chau, S.: Ibrahim Energy conservation in compressed-air systems. International Journal of Energy Research 26, 837–849 (2002)
Mao, M., Li, J., Humphrey, M.: Cloud auto-scaling with deadline and budget constraints. In: Proceedings of GRID (2010)
Marzolla, M.: Distributed Simulation of Large Computer Systems. In: Proc. of CHEP 2001, International Conference on Computing in High Energy and Nuclear Physics, Beijing, P. R. China, pp. 477–480 (2001)
Moan, M., Shapiro, H.: Fundamentals of Engineering Thermodynamics, 2nd edn. John Wiley & Sons, New York (1992)
Newcomer, E., Lomow, G.: Understanding SOA with Web Services. Addison-Wesley (2005)
Qin, H.S., Mckane, A.: Improving Energy Efficiency of Compressed Air System Based on System Audit (2008)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Blazauskas, T., Iesmantas, T., Alzbutas, R. (2012). Service-Oriented Architecture for Designing of Physical Systems with Efficient Power Consumption. In: Skersys, T., Butleris, R., Butkiene, R. (eds) Information and Software Technologies. ICIST 2012. Communications in Computer and Information Science, vol 319. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33308-8_23
Download citation
DOI: https://doi.org/10.1007/978-3-642-33308-8_23
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-33307-1
Online ISBN: 978-3-642-33308-8
eBook Packages: Computer ScienceComputer Science (R0)