Abstract
Abstract : With funding from this project, we addressed the following research problems: The application of database principles to large-scale behavioral simulations. As the military expands its mission into new areas such as domestic disaster recovery, largescale simulations of individual behavior are important tools for analyzing how best to address these situations. However, behavioral simulations are often complex, and do not scale enough to cover the population of a major urban area. How can we leverage the technology from massively scalable database systems to produce efficient large-scale behavioral simulations? A language for expressing efficient large-scale behavioral simulations. Defining a large-scale simulation in a database query language like SQL is prohibitively complex; there is no way to isolate or encapsulate individual behavior. What language features do we need to translate behavioral simulations of individuals into database query plans? New algorithms for processing large-scale simulations. The types of database query plans that correspond to large-scale simulations are likely very different from traditional database query plans. What new algorithms can we develop specifically to optimize these types of query plans?
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