-------- 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
************************************************************ * 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 * * * ************************************************************
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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