Sökning: "Hadoop distributed file system"

Visar resultat 1 - 5 av 19 uppsatser innehållade orden Hadoop distributed file system.

  1. 1. Sequential Anomaly Detection for Log Data Using Deep Learning

    Master-uppsats, Göteborgs universitet/Institutionen för matematiska vetenskaper

    Författare :Lina Hammargren; Wei Wu; [2021-06-14]
    Nyckelord :anomaly detection; recurrent neural network; long short-term memory; semi-supervised learning; seq2seq; transformer; unsupervised learning; log analysis;

    Sammanfattning : Abstract Software development with continuous integration changes needs frequent testing for assessment. Analyzing the test output manually is time-consuming and automating this process could be beneficial to an organization. LÄS MER

  3. 2. 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

  4. 3. Towards an S3-based, DataNode-less implementation of HDFS

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

    Författare :Franco Jesus Caceres Gutierrez; [2020]
    Nyckelord :Hadoop distributed file system; HDFS; HopsFS; S3;

    Sammanfattning : The relevance of data processing and analysis today cannot be overstated. The convergence of several technological advancements has fostered the proliferation of systems and infrastructure that together support the generation, transmission, and storage of nearly 15,000 exabytes of digital, analyzabledata. LÄS MER

  5. 4. S3-HopsFS: A Scalable Cloud-native Distributed File System

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

    Författare :Joel Stenkvist; [2019]
    Nyckelord :;

    Sammanfattning : Data has been regarded as the new oil in today’s modern world. Data is generated everywhere from how you do online shopping to where you travel. Companies rely on analyzing this data to make informed business decisions and improve their products and services. However, storing this massive amount of data can be very expensive. LÄS MER

  7. 5. SQL on Hops

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

    Författare :Fabio Buso; [2017]
    Nyckelord :;

    Sammanfattning : In today’s world data is extremely valuable. Companies and researchers store every sort of data, from users activities to medical records. However, data is useless if one cannot extract meaning and insight from it. In 2004 Dean and Ghemawat introduced the MapReduce framework. LÄS MER