Data grids have been adopted by many scientific communities that need to share, access,
transport, process, and manage geographically distributed large data collections. Data …

In data-intensive distributed systems, replication is the most widely used approach to offer
high data availability, low bandwidth consumption, increased fault-tolerance and improved …

The message passing interface (MPI) is a standard used by many parallel scientific
applications. It offers the advantage of a smoother migration path for porting applications …

Data replication is one of the best known strategies to achieve high levels of availability and
fault tolerance, as well as minimal access times for large, distributed user communities using …

Abstract Within the European DataGrid project, Work Package 2 has designed and
implemented a set of integrated replica management services for use by data intensive …

This paper introduces a robot platform which can do weeding while traveling between rice
seedlings stably against irregular land surface of a paddy field. Also, an autonomous …

We describe the architecture and initial implementation of the next-generation of Grid Data
Management Middleware in the EU DataGrid (EDG) project. The new architecture stems out …

As the number of data-intensive applications increases in various domains, scientists need
to save, retrieve, and analyze increasingly large datasets. The huge volume of data and the …

A key point for the efficient use of large grid systems is the discovery of resources, and this
task becomes more complicated as the size of the system grows up. In this case, large …

High-energy physics studies collisions of particles traveling near the speed of light. For
statistically significant results, physicists need to analyze a huge number of such events …