Efficient Management of Large Metadata Catalogs in a Ubiquitous Computing Environment

About the Book

Trends in experimental sciences, such as astrophysics, have led to many critically needed, non-normalized, and massive metadata catalogs that organize collections of recorded photographic and spectrographic observations of similar size. Observations of the night sky can best be presented using a data model that conveys the observations, analysis, objects contained with the observations, and results of analysis pertaining to those objects. Such a model is proposed, and it is referred to as the internet Flexible Image Transport System (iFITS). In addition, a set of mapping functions to transform instances of the Sloan Digital Sky Survey into instances of iFITS, a lightweight marshaling method to transfer data to and from server side instances to mobile instances. Furthermore, this dissertation explores four architectures such as content management, software/ infrastructure/ platform as a service, context rule engine-based request-response loop factory, and representational state transfer (REST)-based query engines to facilitate the mining of the metadata catalogs containing these observations.

About the Author

Daniel D. Beatty proudly presents his dissertation in this book. This text promotes a singular idea in Service Oriented Architecture the Data Science on Large Unorganized Data Sets. Dr. Beatty shares his research on Object Relational Machines: their inner mechanics, their capacity to support cache and scratch space, their limits, and their ability to facilitate mapping poorly organized structures to more useful and connected models while preserving core knowledge. He also has a few hobbies and a fair work history to draw upon. Dr. Beatty enjoys swimming and various forms of exercise. He also enjoys participating with service organizations such as Toastmasters. He attends a Lutheran church regularly. He also participates regularly with the local IEEE and ACM. Dr. Beatty served honorably as an enlisted man in the U.S. Army. He did repair and assembly work on ham radios and desktop computers. He also did his co-op at Advanced Micro Devices (AMD). He worked in many staff positions in academia with High Energy Physics and Geosciences, during his master’s studies. During his doctorate, he worked as a graduate and teaching assistant in the Computer Science Department. His work entailed learning the art of proposition under mentors described in the acknowledgment section. Dr. Beatty has many interests such as distributed computing, language theory, and numerical computing. Distributed computing is a big umbrella that covers high performance computing, large data storage/ management, the internet of things, embedded computing, and few others. Distributed computing shares fields with robotics, compiler theory, database theory, systems programming, and numerical.