Heterogeneous distributed computing environments are emerging for developing data-
intensive (big data) applications that require to access huge data files. Therefore, effective …

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 grid is a distributed collection of storage and computational resources that are not
bounded within a geophysical location. It is a fast growing area of research and providing …

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 …

The Internet of Things (IoT) phenomenon is creating a world of billions of connected devices
generating enormous amounts of data items. In particular, for purposes of high availability …

The Internet of things (IoT) generates a plethora of data nowadays, and cloud computing has
been introduced as an efficient solution to IoT data management. A cloud resource …

As the scale and complexity of heterogeneous computing systems grow, failures occur
frequently and have an adverse effect on solving large-scale applications. Hence, fault …

Nowadays, several companies prefer storing their data on multiple data centers with
replication for many reasons. The data that spans various data centers ensures the fastest …

In this paper, we address three issues concerning data replica placement in hierarchical
Data Grids that can be presented as tree structures. The first is how to ensure load balance …

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 …