{"product_id":"efficient-management-of-large-metadata-catalogs-in-a-ubiquitous-computing-environment-9781546265382","title":"Efficient Management of Large Metadata Catalogs in a Ubiquitous Computing Environment","description":"\u003cp\u003e • Author(s): Daniel Beatty\u003cbr\u003e • Publisher: Authorhouse\u003cbr\u003e • Publisher Imprint: Authorhouse\u003cbr\u003e • BISAC: Computer Science\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eTrends 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.\u003c\/p\u003e","brand":"Authorhouse","offers":[{"title":"Paperback","offer_id":45532984279191,"sku":"9781546265382","price":1328.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9781546265382.webp?v=1767898135","url":"https:\/\/atlanticbooks.com\/products\/efficient-management-of-large-metadata-catalogs-in-a-ubiquitous-computing-environment-9781546265382","provider":"Atlantic Books","version":"1.0","type":"link"}