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Efficient Management of Large Metadata Catalogs in a Ubiquitous Computing Environment Book PDF Summary

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.

Detail Book of Efficient Management of Large Metadata Catalogs in a Ubiquitous Computing Environment PDF

Efficient Management of Large Metadata Catalogs in a Ubiquitous Computing Environment
  • Author : Daniel Beatty
  • Release : 29 April 2019
  • Publisher : AuthorHouse
  • ISBN : 9781546265375
  • Genre : Computers
  • Total Page : 152 pages
  • Language : English
  • PDF File Size : 8,7 Mb

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