Over the last twenty years, the open source community has provided more and more software on which the world's High Performance Computing (HPC) systems depend for performance and productivity. The community has invested millions of dollars and years of effort to build key components. But although the investments in these separate software elements have been… (More)
Current production Grids involve hundreds of sites and thousands of machines. In this context, P2P solutions are well suited - with regard to existing centralized and hierarchical approaches - to implement highly scalable, decentralized, reliable and manageable grid services. In this paper we describe the GReIC Data Gather Service from an architectural and… (More)
A huge quantity of Earth Observation (EO) and geospatial data is daily produced by several organizations. These heterogeneous data are very useful in several scientific, civil, military and industrial applications.Securely and transparently storing, managing and accessing this huge quantity of data spread over distributed systems is a challenging problem.… (More)
This report is concerned with the analysis of current Globus Toolkit Grid Information Service (GIS) to assess its capabilities and limitations. A comparison of GIS capabilities and GridLab dynamic grid computing requirements will provide the foundations to build needed extensions.
This document describes the iGrid Information Service.
This work introduces Ophidia, a big data analytics research effort aiming at supporting the access, analysis and mining of scientific (n-dimensional array based) data. The Ophidia platform extends, in terms of both primitives and data types, current relational database system implementations (in particular MySQL) to enable efficient data analysis tasks on… (More)
" Exascale eScience infrastructures " will face important and critical challenges both from computational and data perspectives. Increasingly complex and parallel scientific codes will lead to the production of huge amount of data. The large volume of data and the time needed to locate, access, analyze and visualize data will greatly impact on the… (More)