Large-Scale Simulation Experimentation and Analysis: Database Programming Using Java

High Performance Computing has made significant strides in the distributed simulation community. The Joint Forces Command has fielded more than a million independent agents in its JESPP project, with a concomitant data management challenge. Enabling and optimizing this transcontinental computing and analysis environment has drawn significant interest from the T&E community. This paper focuses on the Scalable Data Grid (SDG) project at the Information Sciences Institute and it illuminates why some Java techniques were found to be useful and some were not. The study of the programming will aid in examining the design and implementation of an effective distributed simulation database using the Java Programming Language and its associated tools and Application Programming Interfaces. The transition of intelligent agent simulations from training to experimentation requires the effectual logging, processing, storing, retrieving, and analyzing terabytes of data. The design, construction, and evaluation of the SDG strives to balance efficiency of execution, clarity of development, and security of the environment to create a robust, scalable system to support distributed simulation database population, organization, and utilization. The choice of the most appropriate programming language was central to the effective development and eventual utility of the SDG. The depth and breadth of Java technologies provide a rich se