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Zasnova in razvoj oblačne platforme za zajemanje in shranjevanje podatkovnih tokov iz pametnih naprav
RUBIN, DAVID (Author), Šprager, Sebastijan (Mentor) More about this mentor... This link opens in a new window

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Abstract
Pri nalogi smo zasnovali in izdelali platformo, ki omogoča zbiranje in shranjevanje podatkovnih tokov iz pametnih naprav. Med pametne naprave sodijo tako mobilni telefoni, kot tudi naprave interneta stvari. Sposobne so generirati veliko podatkov v realnem času, katere pa je težko obvladati, torej ne le zajeti ampak tudi shraniti za kasnejše analize. Pomemben je tudi hitri dostop do teh shranjenih podatkov. Z nalogo smo razvili šibko sklopljeno platformo, ki omogoča porazdeljeno shranjevanje podatkov in nudi možnost poizvedovanja po njih. Razvili smo tudi IoT senzorske aplikacije, s katerimi smo pokazali, da naša platforma deluje s heterogenimi podatkovnimi tokovi. Platformo smo na koncu še preizkusili in omogočili vizualizacijo zajetih podatkov.

Language:Slovenian
Keywords:oblak, internet stvari, velepodatki, pametne naprave, porazdeljena shramba podatkov, Hadoop
Work type:Bachelor thesis/paper (mb11)
Organization:FRI - Faculty of computer and information science
Year:2018
Views:610
Downloads:172
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Secondary language

Language:English
Title:A design and development of cloud platform for data stream acquisition and storage from smart devices
Abstract:
In this thesis we designed and developed a cloud based platform which offers storage for data gathered by smart devices. Smart devices can include smartphones, the devices of the internet of things and many more. They are capable of generating a large amount of data in real time and it is a challenge to not only capture the data, but to also store it for a possible later analysis. It is also important that we have quick access times to the stored data. In this thesis we developed a loose-coupled platform that can offer distributed storage for the big data from the devices and also an option for querying that data. We also developed some IoT sensor applications that demonstrate efficient operability of our platform on heterogeneous data flows. At the end we tested the platform and plotted some of the data collected.

Keywords:cloud, internet of things, big data, smart devices, distributed storage, Hadoop

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