Sökning: "Computing resource"

Visar resultat 1 - 5 av 106 uppsatser innehållade orden Computing resource.


    Magister-uppsats, Mälardalens högskola/Inbyggda system; Mälardalens högskola/Inbyggda system

    Författare :Tin Vidović; Lamija Hasanagić; [2020]
    Nyckelord :Embedded Systems; data-propagation delays; inter-core data-propagation delays; constraint programming; Rubus-ICE;

    Sammanfattning : There exists an increasing demand for computing power and performance in real-time embedded systems, as new, more complex customer requirements and function-alities are appearing every day. In order to support these requirements and func-tionalities without breaking the power consumption wall, many embedded systems areswitching from traditional single-core hardware architectures to multi-core architec-tures. LÄS MER

  2. 2. Hybrid Auto-Scaling for an Asynchronous Computationally Intensive Application

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

    Författare :Arnþór Jóhann Jónsson; [2020]
    Nyckelord :;

    Sammanfattning : Cloud computing has developed rapidly in recent years. It enables users to access computing resources on an on-demand basis, acquiring resources when an application requires them and releasing them when they are no longer needed. LÄS MER

  3. 3. Machine Learning implementation for Stress-Detection

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

    Författare :Nicole Madjar; Filip Lindblom; [2020]
    Nyckelord :BigQuery; Cloud Computing; Clustering; Dynamic clustering algorithm; Google Cloud Platform; Health coaching; HRV-values; K-Means algorithm; Machine learning; Stress; Unsupervised learning.;

    Sammanfattning : This project is about trying to apply machine learning theories on a selection of data points in order to see if an improvement of current methodology within stress detection and measure selecting could be applicable for the company Linkura AB. Linkura AB is a medical technology company based in Linköping and handles among other things stress measuring for different companies employees, as well as health coaching for selecting measures. LÄS MER

  4. 4. Spark on Kubernetes using HopsFS as a backing store : Measuring performance of Spark with HopsFS for storing and retrieving shuffle files while running on Kubernetes

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

    Författare :Shivam Saini; [2020]
    Nyckelord :Spark; Kubernetes; HopsFS; Data processing; Distributed and Parallel processing;

    Sammanfattning : Data is a raw list of facts and details, such as numbers, words, measurements or observations that is not useful for us all by itself. Data processing is a technique that helps to process the data in order to get useful information out of it. Today, the world produces huge amounts of data that can not be processed using traditional methods. LÄS MER

  5. 5. Innovation av logistiktjänster med mobil spårning : Fallstudie på Expeditors AB

    Kandidat-uppsats, KTH/Skolan för industriell teknik och management (ITM)

    Författare :Sandra Jaimes; [2020]
    Nyckelord :;

    Sammanfattning : Industry 4.0 har blivit en av mest diskuterat tema inom industriella affärsidéerna under de senaste åren. Detta paradigm introducerar Internet of Things (IoT) med integrerade tekniker som radiofrekvensidentifiering (RFID), trådlöst sensornätverk (WSN) och moln beräkning. LÄS MER