Sökning: "Distributed file systems"

Visar resultat 1 - 5 av 43 uppsatser innehållade orden Distributed file systems.

  1. 1. Profile Based Access Control Model Using JSON Web Tokens

    Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknik

    Författare :Mustafa Albayati; Aslan Murjan; [2023]
    Nyckelord :access control; profiles; IoT; device; OpenIDC; Technology and Engineering;

    Sammanfattning : Currently at Axis, a local role-based access control system is used in devices, which forces the user credentials to be directly installed on the individual devices and the limited selection of roles does not allow for fine-grained access rights. This creates an administrative nightmare in a large scale network and leads to elevated privileges. LÄS MER

  3. 2. Low-latency transport protocols inactor systems : Performance evaluation of QUIC in Kompact

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

    Författare :Jódís Gunnlaugsdóttir; [2023]
    Nyckelord :Kompact; Component-Actor hybrid framework; Transmission Control Protocol; User Datagram Protocol; Aeron; Quic;

    Sammanfattning : Developers widely use actor frameworks to build highly distributed systems. However, modern actor frameworks are limited in their network implementations, with Transmission Control Protocol (TCP) and User Datagram Protocol (UDP) being the main protocols used for network communication. LÄS MER

  4. 3. Faster Reading with DuckDB and Arrow Flight on Hopsworks : Benchmark and Performance Evaluation of Offline Feature Stores

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

    Författare :Ayushman Khazanchi; [2023]
    Nyckelord :Machine Learning; Feature Store; Distributed Systems; MLOps;

    Sammanfattning : Over the last few years, Machine Learning has become a huge field with “Big Tech” companies sharing their experiences building machine learning infrastructure. Feature Stores, used as centralized data repositories for machine learning features, are seen as a central component to operational and scalable machine learning. LÄS MER

  5. 4. Evaluating the use of Machine Learning for Fault Detection using Log File Analysis

    Kandidat-uppsats, Mittuniversitetet/Institutionen för informationssystem och –teknologi

    Författare :Rosen Nikolaev Tenov; [2021]
    Nyckelord :Machine learning; fault detection; log file; artificial neural network; Maskininlärning; feldetektering; loggfil; artificiellt neuralt nätverk;

    Sammanfattning : Under de senaste åren fick maskininlärning mer och mer popularitet i samhället. Den implementeras i stor utsträckning inom många datavetenskapliga områden, t.ex. igenkänning av tal, video, objekt, sentimentanalys osv. LÄS MER

  7. 5. Advanced Algorithms for Classification and Anomaly Detection on Log File Data : Comparative study of different Machine Learning Approaches

    Uppsats för yrkesexamina på avancerad nivå, Mittuniversitetet/Institutionen för informationssystem och –teknologi

    Författare :Filip Wessman; [2021]
    Nyckelord :Machine Learning ML ; K-Means; Principal Component Analysis PCA ; XGBoost; Log data; Anomaly Detection; Outlier Detection; Clustering.;

    Sammanfattning : Background: A problematic area in today’s large scale distributed systems is the exponential amount of growing log data. Finding anomalies by observing and monitoring this data with manual human inspection methods becomes progressively more challenging, complex and time consuming. This is vital for making these systems available around-the-clock. LÄS MER