Visualization and analysis tools, techniques, and algorithms have undergone a rapid
evolution in recent decades to accommodate explosive growth in data size and complexity …

Data replication is an important mechanism for managing data distribution. The general
purpose of data replication is to place data in different locations so that it is available to the …

Distributed systems continue to be a promising area of research particularly in terms of
providing efficient data access and maximum data availability for large-scale applications …

Data replication is becoming a popular technology in many fields such as cloud storage,
Data grids and P2P systems. By replicating files to other servers/nodes, we can reduce …

Data Grid provides scalable infrastructure for storage resource and data files management,
which supports several large scale applications. Due to limitation of available resources in …

In data grid systems, data replication aims to increase availability, fault tolerance, load
balancing and scalability while reducing bandwidth consumption, and job execution time …

Increasing need for large-scale data analytics in a number of application domains has led to
a dramatic rise in the number of distributed data management systems, both parallel …

Replicating for performance constitutes an important issue in large–scale data management
systems. In this context, a significant number of replication strategies have been proposed …

Data Grids provide environment for huge, data-intensive applications that produce and
process enormous data. Such environments are thus asked to manage data and schedule …

Data Grids allow many organisations and individuals to share their data across long-
distance areas. Nowadays, a huge amount of data is produced in all scientific fields and to …