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First International Workshop on Grid Computing and Its Application to Data Analysis

From: Pilar Herrero <pherrero@fi.upm.es>
Date: Tue, 20 Apr 2004 11:50:52 +0200
To: undisclosed-recipients: ;
Message-id: <4084F27C.4020802@fi.upm.es>

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CALL FOR PAPERS

FIRST INTERNATIONAL WORKSHOP ON GRID COMPUTING AND ITS
APPLICATION TO DATA ANALYSIS (GADA'04)
ON THE MOVE FEDERATED CONFERENCES 2004 (OTM'04)

       http://laurel.datsi.fi.upm.es/GADA04

Larnaca, Cyprus, 25 Oct - 29 Oct 2004
Proceedings will be published by Springer Verlag

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Grid computing has become one of the most important topics appeared and
widely developed in the computing field in the last decade. The research
area of grid computing is making rapid progress, owing to the increasing
necessity of computation in the resolution of complex applications.

Clusters are, in some sense, the predecessors of the grid technology.
Clusters interconnect nodes through a local high-speed network, using
commodity hardware, with the aim of reducing the costs of such
infrastructures. Supercomputers have been replaced by cluster of
workstations in a huge number of research projects, being the grid
technology the natural evolution of clusters.

One of the major goals of grid computing is to provide efficient access to
data. Grids provide access to distributed computing and data resources,
allowing data-intensive applications to improve significantly data access,
management and analysis. Nowadays, there is a huge number of
data-intensive applications, e.g. data mining systems extracting knowledge
from large volumes of data. Existing data-intensive applications have been
used in several domains, such as physics, climate modelling, biology or
visualization. Grid systems responsible for tackling and managing large
amounts of data in geographically distributed environments are usually
named data grids.

The great challenge of grid computing is the complete integration of
heterogeneous computing systems and data resources with the aim of
providing a global computing space. The achievement of this goal will
involve revolutionary changes in the field of computation, because it will
enable resource-sharing across networks, being data one of the most
important ones.

This workshop is intended for researchers in grid computing, who want to
extend their background on this area and more specifically to those that
use grid environments for managing and analysing data.

TOPICS OF INTEREST include, but are not limited to:

* Computational grids
* Grid solutions for data-intensive applications
* Grid infrastructures for data analysis
* High-performance computing for data-intensive applications
* Grid computing infrastructures, middleware and tools
* Grid computing services
* Grid and cluster computing
* Collaboration technologies
* Data analysis and management
* Databases and the grid
* Extracting knowledge from data grids
* Agent-based management of data in distributed systems
* Agent architectures for grid environments
* Semantic Grid
* Data grids for bioinformatics
* Security in data grids

IMPORTANT DATES

Deadline for paper submission           July 4th, 2004
Notification of acceptance              August 4th, 2004
Deadline for camera-ready papers        August 20th, 2004

SUBMISSION GUIDELINES

All submitted papers will be carefully evaluated based on originality,
significance, technical soundness, and clarity of expression. All
submissions must be in English. Research submissions must not exceed 10
pages. Submissions can either be in Postscript, MS Word, or Pdf format in
this submission page:
http://www.cs.rmit.edu.au/fedconf/gada/2004/papers/submit/

The final proceedings will be published by Springer Verlag as LNCS
(Lecture Notes in Computer Science). Author instructions can be found at:
http://www.springer.de/comp/lncs/authors.html
Failure to commit to presentation at the conference automatically excludes
a paper from the proceedings.

CONTACT PEOPLE:

Pilar Herrero
Facultad de Informática
Universidad Politécnica de Madrid
Campus de Montegancedo S/N
28660 Boadilla del Monte
Madrid (Spain)
Phone: (+34) 91.336.74.56
Fax: (+34) 91.336.65.95E
mail: pherrero@fi.upm.es

María S. Pérez
Facultad de Informática
Universidad Politécnica de Madrid
Campus de Montegancedo S/N
28660 Boadilla del Monte
Madrid (Spain)
Phone: (+34) 91.336.73.80
Fax: (+34) 91.336.73.73
Email: mperez@fi.upm.es

Víctor Robles
Facultad de Informática
Universidad Politécnica de Madrid
Campus de Montegancedo S/N
28660 Boadilla del Monte
Madrid (Spain)
Phone: (+34) 91.336.73.80
Fax: (+34) 91.336.73.73
Email: vrobles@fi.upm.es

Milena Radenkovic
School of Computer Science & IT
University of Nottingham
Nottingham, NG8 1BB, UK
Phone: +44 (115) 951 4226
Fax: +44 (115) 951 4254
email: mvr@cs.nott.ac.uk
Received on Tuesday, 20 April 2004 06:01:42 GMT

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