The Second International Workshop on Grid Computing and its Application to Data Analysis (GADA'05)

In conjunction with OnTheMove Federated Conferences (OTM'05) http://www.cs.rmit.edu.au/fedconf
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 Supercomputers have been replaced by cluster of workstations in a huge number of research projects, being the grid technology the natural evolution of clusters.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
Topics of interest include, but are not limited to:
* Computational grids
* Data integration on grids
* Grid-based data mining
* 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
SUBMISSION REQUIREMENTS
All submitted papers will be carefully evaluated based on originality, significance, technical soundness, and clarity of expression. All submissions must be in English. Submissions should be in PDF forma