Key information on data engineering for researchers and government contractors world-wide
Overview of Data Modeling
Basics of System Entity Structuring
Representing the SES in XML
Using the SES-Java Tool Set
Scaling Up to Real World Complexity
SES Families for Dynamic Data Processes Harmonization: Comparing
SESs and Finding Common Cores
Areas Needing Research
Bernard P. Zeigler, is a Professor of Electrical & Computer Engineering at the University of Arizona and co-director of the Arizona Center for Integrative Modeling and Simulation. He is the author of numerous books and publications, a Fellow of the IEEE, and of the Society for Modeling and Simulation International. Zeigler is currently heading a project for the Joint Interoperability Test Command (JITC) where he is leading the design of the future architecture for large distributed simulation events for the Joint Distributed Engineering Plant (JDEP). He is also developing DEVS-methodology approaches for testing mission thread end-to-end interoperability and combat effectiveness of Defense Department acquisitions and transitions to the Global Information Grid with its Service Oriented Architecture (GIG/SOA). As Technical Director for an IT company, Phillip Hammonds’ duties include overall technical direction of several C4ISR engineering programs for national agencies and military service organizations. In particular, Dr. Hammonds focuses on modeling and simulation, and the rigorous data, metadata and software engineering necessary to create and test multi-source, interoperable intelligence, and command and control products and services in the expanding Net Centric environment. Dr. Hammonds received his PhD and Master's Degrees from the University of Arizona; his dissertation focused on natural language directives processing and analysis. He has published articles and software in the areas of modeling and simulation, high-performance computing analysis, data engineering, and Slavic linguistics.
"This book provides a practical methodology and framework to address some of the most pressing challenges impacting the interoperability and supportability of Information Technology (IT) systems and their viability as part of the Global Information Grid (GIG). The surge in capital investment in IT systems, the proliferation of hardware and software as well as the dynamic forces influencing technological growth has made Interoperability and Supportability (I&S) of paramount concern to those who develop, field and support information systems and technology, government resource sponsors and those who exercise congressional oversight. Many projects are brought into the acquisition lifecycle under a sense of urgency that brings ill-defined or vague requirements. Furthermore, because the dynamic nature of this industry often outpaces the ability of the DoD acquisition system to field or support IT in a timely manner, programs may be linked to legacy data and operating principles, or otherwise rooted in legacy platforms that prohibit attainment of the full efficiencies represented within the latest commercially available technology or service oriented architectures. The activities associated with obtaining I&S certification have proved to be uniquely critical issues in the IT fielding process and are the most significant in terms of their impact on the efficiency and effectiveness in fielding IT systems. The path to satisfying Net-Ready Key Performance Parameters that are at the heart of I&S certification processes must be determined through developmental and operational test and evaluation. The System Entity Structure and methodology, and the modeling and simulation-based approach to interoperability testing that are proposed by the authors holds significant promise to significantly reducing program risk in terms of schedule, life cycle cost, and system performance." -- Michael A. Trabun, Shee Atika Technologies, LLC
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