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Hittade 3 uppsatser som matchar ovanstående sökkriterier.

  1. 1. Cloud native design of IoT baseband functions : Introduction to cloud native principles

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Lalith Kumar Bakthavathsalu; [2020]
    Nyckelord :Cloud-native; Gateway; GNU Radio; IoT; LoRa; LPWAN; Software-Defined Radio; Cloud-native; Gateway; GNU Radio; IoT; LoRa; LPWAN; Software-Defined Radio;

    Sammanfattning : The exponential growth of research and deployment of 5G networks has led to an increased interest in massive Machine Type Communications (mMTC), as we are on the quest to connect all devices. This can be attributed to the constant development of long-distance and low-powered Internet-of- Things (IoT) technologies, or, Low Power Wide Area Network (LPWAN) technologies such as Long-Range (LoRa) and Narrow Band- IoT (NB-IoT). LÄS MER

  3. 2. Evaluating the Importance of Disk-locality for Data Analytics Workloads : Evaluating the Importance of Disk-locality for Data Analytics Workloads

    Master-uppsats, Uppsala universitet/Institutionen för informationsteknologi

    Författare :Christian Törnqvist; [2020]
    Nyckelord :;

    Sammanfattning : Designing on-premise hardware platforms to deal with big data analytics should be done in a way in which the available resources can be scaled both up and down depending on future needs. Two of the main components of an analytics cluster is the data storage and computational part. LÄS MER

  4. 3. Increasing analytics maturity by establishing analytics networks and spreading the use of Lean Six Sigma : A case study of a global B2B company

    Master-uppsats, KTH/Industriell Management

    Författare :VIKTOR SVANTESSON ROMANOV; IDA GULLQVIST; [2016]
    Nyckelord :Data and Analytics maturity models; centralisation decentralisation of analytics; analytics setups; analytics networks; knowledge management and collaboration; Lean Six Sigma;

    Sammanfattning : Organisations with high-performing data and analytics capabilities are more successful than organisations with lower analytics maturity. It is therefore necessary for organisations to assess their analytics capabilities and needs in order to identify and evaluate areas of improvement that need to be addressed. LÄS MER