[Fwd: Call for papers: Special Issue on Data Analysis, Access and Management on Grids] - Cfp

9 Oct 2005


      -------- Original-Nachricht --------
Betreff: 	Call for papers: Special Issue on Data Analysis, Access and 
Management on Grids
Datum: 	Mon, 03 Oct 2005 18:05:15 +0200 (CEST)
Von: 	Maria S. Perez mperez@fi.upm.es
Firma: 	"OptimaNumerics"
An: 	Computational Science Mailing List 
computational.science@lists.optimanumerics.com
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  * Call for papers for the Special issue                    *
  * "Data Analysis, Access and Management on Grids"          *
  * Future Generation Computer System                        *
  * Elsevier                                                 *
  * http://www.elsevier.com/inca/publications/misc/perez.pdf *
  *                                                          *
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Purpose of the Special Issue
----------------------------
Nowadays applications have to deal with an overwhelming amount of data,
distributed around multiple sites. New communication scenarios, mainly 
Internet, have involved the access to large size data, which must be
properly managed and tackled. The storage, management and analysis of
data in such applications constitute a challenging area. Grid
computing and more specifically data grids are being used to store, move, and 
manage large data sets located in remote sites.
In order to provide an efficient way to access data on grid environments, it is 
unquestionable to improve and extend current I/O systems. Indeed, data grids 
can take advantage of the research made in the area of parallel and distributed 
I/O.
On the other hand, the large number and diversity of data sources may
cause the opposite effect to the desired one, that is, they can hide the 
underlying information. This implies that it is necessary to use mechanisms
for analysing these huge amounts of data, adapted to grid environments. The 
process of data mining is one possibility for discovering patterns
on the raw data, although it is not the only one.
The purpose of this special issue proposal is to present new and emerging
models,architectures and systems for grid environments which are intended to
solve the problematic in the access, analysis and management of data.
Grid computing has become a key piece for the building of a framework in
which hardproblems can be tackled and solved. The Grid concept was used by 
first
time in the middle 1990's for naming a distributed infrastructure, dedicated
to scientific research and advanced engineering, making usage of Internet.
Unlike conventional distributed systems, which are focused on communication
between devices and resources, Grid computing takes advantage of computers
connected to a network making possible compute and data resource sharing.
The goal of this special issue is to present a collection of papers which
describe, analyze and discuss:
- The current state-of-the-art of Grid computing, focusing on the aspects
   related to data access, management and analysis,
- Research issues related to Data Grids,
- Research issues related to I/O systems,
- Distributed and Grid-aware data mining algorithm,
- New tools, methods and techniques for data management on Grids.
The topics of interest of this special issue will include but will be not
limited to:
- Computational and Data Grids
- Data grid architectures
- Models and methods for data access and management on Grids
- Grid and cluster computing for improving data management
- Grid and peer-to-peer systems for improving data management
- I/O systems in grid environments
- Analysis of large amount data in distributed environments
- Distributed and Grid-based data mining algorithms and systems
- Distributed and Grid-based data analysis algorithms and systems
Guest Editors
-------------
María S. Pérez
Universidad Politécnica de Madrid
Madrid - Spain
mperez@fi.upm.es
Pilar Herrero
Universidad Politécnica de Madrid
Madrid - Spain
pherrero@fi.upm.es
Important Dates
---------------
Paper submission deadline       December 20, 2005
Notification of acceptance      March 1, 2006
Camera-ready papers             April 1, 2006
Desired publication             End of 2006
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