Parallel data processing services based on cloud computing technology Cover Image

Debesų kompiuterijos technologijų lygiagrečių skaičiavimo priemonių paslaugos
Parallel data processing services based on cloud computing technology

Author(s): Tomas Pranckevičius
Subject(s): Information Architecture, ICT Information and Communications Technologies
Published by: Vilniaus Universiteto Leidykla
Keywords: Cloud computing technology; Spark; Hadoop Map Reduce; H2O; data classification;

Summary/Abstract: In this article, the Cloud Computing technology and the modern parallel computing are analyzed. The architecture, performance and infrastructure of conceptual models of Cloud Computing technology are presented. An analytical review of literature is made with the focus on a new generation parallel computing tools – Hadoop, Spark and H2O. Some comparison criteria are selected. According to the criteria, a comparative analysis of the modern parallel and data intensive computing paradigms is made, based on the cloud computing technology. The analysis established their advantages and disadvantages.

  • Issue Year: 2015
  • Issue No: 73
  • Page Range: 64-73
  • Page Count: 10
  • Language: English