Cloud computing is one of the important approach for business actions in nowadays
industry. The different characteristics of cloud such as on-demand capabilities, measured …

Abstract Information can be shared across the Internet using cloud computing, a powerful
paradigm for meeting the needs of individuals and organizations. To minimize access time …

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 …

Data Grid integrates geographically distributed resources for solving data sensitive scientific
applications. Dynamic data replication algorithms are becoming increasingly valuable in …

Summary In Data Grid systems, quick data access is a challenging issue due to the high
latency. The failure of requests is one of the most common matters in these systems that has …

Data Grids deal with geographically-distributed large-scale data-intensive applications.
Schemes scheduled for data grids attempt to not only improve data access time, but also aim …

There are many research problems in cloud replica management such as low data
reliability, unbalanced node load and large resource consumption. The strategy and status …

Grid computing is a powerful distributed and scalable computing infrastructure that deals
with massive data-intensive applications. Efficient utilization of the available computing grid …

High-performance computing and vast storage are two key factors required for executing
data-intensive applications. In comparison with traditional distributed systems like data grid …

Cloud computing provides IT resources (eg, CPU, memory, network, storage, etc.) based on
virtualization concepts and a pay-as-you-go principle. It comprises an accumulation of inter …