Abstract
In this chapter we consider the application of MS4 Me™ to data engineering for complex data and interest-based data distribution in which data is targeted to the consumer’s interests. We discussed mappings of Pruned Entity Structures, in the form of XML documents, based on underlying System Entity Structures. Then we show how you can develop simulation models that implement such mappings and exchange XML documents in the manner of interest-based data distribution. Distributed simulation implementations that employ the DEVS Protocol (Chap. 9) and data distribution services (Chap. 10) can deploy such models to provide the basis for information exchange based on the concepts of interest-based distribution.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
KDD Cup (1999). http://www.sigkdd.org/kddcup/index.php?section=1999&method=info/.
Kim, T., Seo, Ch., & Zeigler, B. P. (2010). Web-based distributed network analyzer using a system entity structure over a service-oriented architecture. SIMULATION, 86(3), 155–180.
Zeigler, B. P., & Hammonds, P. (2007). Modeling & simulation-based data engineering: introducing pragmatics into ontologies for net-centric information exchange. New York: Academic Press.
Author information
Authors and Affiliations
Appendix: System Entity Structures for Examples
Appendix: System Entity Structures for Examples
Rights and permissions
Copyright information
© 2013 Springer-Verlag London
About this chapter
Cite this chapter
Zeigler, B.P., Sarjoughian, H.S. (2013). Interest-Based Information Exchange: Mappings and Models. In: Guide to Modeling and Simulation of Systems of Systems. Simulation Foundations, Methods and Applications. Springer, London. https://doi.org/10.1007/978-0-85729-865-2_11
Download citation
DOI: https://doi.org/10.1007/978-0-85729-865-2_11
Publisher Name: Springer, London
Print ISBN: 978-0-85729-864-5
Online ISBN: 978-0-85729-865-2
eBook Packages: Computer ScienceComputer Science (R0)