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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Efficient Management of Large Metadata Catalogs in a Ubiquitous Computing Environment

Efficient Management of Large Metadata Catalogs in a Ubiquitous Computing Environment

Beatty, Daniel

Paperback

DatabasesGeneral Computers

ISBN10: 1546265384
ISBN13: 9781546265382
Publisher: Authorhouse
Published: Apr 29 2019
Pages: 96
Weight: 0.52
Height: 0.20 Width: 8.25 Depth: 11.00
Language: English
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.

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