Advances in Internet and the availability of powerful computers and high-speed networks have propitiated the rise of Grids. The scheduling of applications is complex in Grids due ...
Data replication is an excellent technique to move and cache data close to users. By replication, data access performance can be improved dramatically. One of the challenges in da...
Data sharing is one of the most important research areas in data grid. Distributed data resource and heterogeneous data schema bring difficulties to data Access and sharing. This ...
Scientific workflows are frequently being used to model complex phenomena, to analyze instrumental data, to tie together information from distributed sources, and to pursue other ...
We present a framework for clustering distributed data in unsupervised and semi-supervised scenarios, taking into account privacy requirements and communication costs. Rather than...