Perspectives on grid computing

authored by: Uwe Schwiegelshohn, Rosa M. Badia, Marian Bubak, Marco Danelutto, Schahram Dustdar, Fabrizio Gagliardi, Alfred Geiger, Ladislav Hluchy, Dieter Kranzlmller, Erwin Laure, Thierry Priol, Alexander Reinefeld, Michael Resch, Andreas Reuter, Otto Rienhoff, Thomas Rüter, Peter Sloot, Domenico Talia, Klaus Ullmann, Ramin Yahyapour, Gabriele Von Voigt
Abstract: Grid computing has been the subject of many large national and international IT projects. However, not all goals of these projects have been achieved. In particular, the number of users lags behind the initial forecasts laid out by proponents of grid technologies. This underachievement may have led to claims that the grid concept as a whole is on its way to being replaced by Cloud computing and various X-as-a-Service approaches. In this paper, we try to analyze the current situation and to identify promising directions for future grid development. Although there are shortcomings in current grid systems, we are convinced that the concept as a whole remains valid and can benefit from new developments, including Cloud computing. Furthermore, we strongly believe that some future applications will require the grid approach and that, as a result, further research is required in order to turn this concept into reliable, efficient and user-friendly computing platforms.
Organisation(s): Institute of Data Science
External Organisation(s): TU Dortmund University
Spanish National Research Council (CSIC)
AGH University of Science and Technology (AGH UST)
University of Amsterdam
University of Pisa
TU Wien (TUW)
Microsoft Corporation
Deutsche Telekom AG
Slovak Academy of Sciences
Ludwig-Maximilians-Universität München (LMU)
Royal Institute of Technology (KTH)
INRIA Institut National de Recherche en Informatique et en Automatique
Zuse Institute Berlin (ZIB)
University of Stuttgart
University of Kaiserslautern
University of Göttingen
CNR Institute for high performance computing and networking (ICAR)
Università della Calabria
DFN
IBM Deutschland GmbH
Type: Article
Journal: Future generation computer systems
Volume: 26
Pages: 1104-1115
No. of pages: 12
ISSN: 0167-739X
Publication date: 10.2010
Publication status: Published
Peer reviewed: Yes
ASJC Scopus subject areas: Software, Hardware and Architecture, Computer Networks and Communications
Electronic version(s): https://doi.org/10.1016/j.future.2010.05.010 (Access: Open)

BibTeX

@article{779bcffce8b94bd49986d42914fb414a,
title = "Perspectives on grid computing",
abstract = "Grid computing has been the subject of many large national and international IT projects. However, not all goals of these projects have been achieved. In particular, the number of users lags behind the initial forecasts laid out by proponents of grid technologies. This underachievement may have led to claims that the grid concept as a whole is on its way to being replaced by Cloud computing and various X-as-a-Service approaches. In this paper, we try to analyze the current situation and to identify promising directions for future grid development. Although there are shortcomings in current grid systems, we are convinced that the concept as a whole remains valid and can benefit from new developments, including Cloud computing. Furthermore, we strongly believe that some future applications will require the grid approach and that, as a result, further research is required in order to turn this concept into reliable, efficient and user-friendly computing platforms.",
keywords = "Cloud computing, Grid applications, Grid computing, Grid middleware, Virtual research environment",
author = "Uwe Schwiegelshohn and Badia, {Rosa M.} and Marian Bubak and Marco Danelutto and Schahram Dustdar and Fabrizio Gagliardi and Alfred Geiger and Ladislav Hluchy and Dieter Kranzlmller and Erwin Laure and Thierry Priol and Alexander Reinefeld and Michael Resch and Andreas Reuter and Otto Rienhoff and Thomas R{\"u}ter and Peter Sloot and Domenico Talia and Klaus Ullmann and Ramin Yahyapour and {Von Voigt}, Gabriele",
year = "2010",
month = oct,
doi = "10.1016/j.future.2010.05.010",
language = "English",
volume = "26",
pages = "1104--1115",
journal = "Future generation computer systems",
issn = "0167-739X",
publisher = "Elsevier",
number = "8",
}