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Visar resultat 1 - 5 av 6 uppsatser som matchar ovanstående sökkriterier.

  1. 1. S3DA: A Stream-based Solution for Scalable DataAnalysis

    Master-uppsats, Uppsala universitet/Institutionen för informationsteknologi

    Författare :Preechakorn Torruangwatthana; [2017]
    Nyckelord :;

    Sammanfattning : Data processing frameworks based on cloud platforms are gaining significant attentionas solutions to address the challenges posed by the 3Vs (Velocity, Volume andVariety) of BigData. Very large amounts of information is created continuously, giving rise to data streams. LÄS MER

  3. 2. BigDataCube: Distributed Multidimensional Data Cube Over Apache Spark : An OLAP framework that brings Multidimensional Data Analysis to modern Distributed Storage Systems

    Master-uppsats, KTH/Skolan för informations- och kommunikationsteknik (ICT)

    Författare :Pradeep Peiris Weherage; [2017]
    Nyckelord :;

    Sammanfattning : Multidimensional Data Analysis is an important subdivision of Data Analytic paradigm. Data Cube provides the base abstraction for Multidimensional Data Analysis and helps in discovering useful insights of a dataset. LÄS MER

  4. 3. LOW DELAY VIDEO TRANSCODING SERVICES ON DISTRUBUTED COMPUTING PLATFORM.

    Master-uppsats, Blekinge Tekniska Högskola/Institutionen för tillämpad signalbehandling

    Författare :Raisul Haque Masud Bhuiyan; [2016]
    Nyckelord :Distributed Transcoding; Distributed Computing; Apache storm; Scheduling; Openstack; Cloud Computing;

    Sammanfattning : The demand of digital video with higher resolution is increasing everyday and in amodern world the videos are consumed in all kinds of multimedia devices. The transmissionof higher quality videos over the internet require higher bandwidth, which isnot an acceptable option. LÄS MER

  5. 4. Handling Data Flows of Streaming Internet of Things Data

    Master-uppsats, Uppsala universitet/Institutionen för informationsteknologi

    Författare :Yonatan Kebede Serbessa; [2016]
    Nyckelord :;

    Sammanfattning : Streaming data in various formats is generated in a very fast way and these data needs to be processed and analyzed before it becomes useless. The technology currently existing provides the tools to process these data and gain more meaningful information out of it. This thesis has two parts: theoretical and practical. LÄS MER

  7. 5. Processing data sources with big data frameworks

    Uppsats för yrkesexamina på grundnivå, KTH/Data- och elektroteknik

    Författare :Simon Nyström; Joakim Lönnegren; [2016]
    Nyckelord :Big data; NiFi; Storm; HDFS; performance; real-time; HDP; Big data; NiFi; Storm; HDFS; prestanda; realtid; HDP;

    Sammanfattning : Big data is a concept that is expanding rapidly. As more and more data is generatedand garnered, there is an increasing need for efficient solutions that can be utilized to process all this data in attempts to gain value from it. The purpose of this thesis is to find an efficient way to quickly process a large number of relatively small files. LÄS MER