In recent years, grid technology has emerged as an important tool for solving compute‐
intensive problems within the scientific community and in industry. To further the …

Nowadays, large-scale Cloud-based applications have put forward higher demand for
storage ability of data centres. Data in the Cloud need to be stored with high efficiency and …

Data replication is an effective technique that decreases retrieval time, thus reducing energy
consumption in Cloud. When necessary files aren't locally available, they will be fetched …

The ever-growing demand and heterogeneity of Cloud Computing is garnering popularity
with scientific communities to utilize the services of Cloud for executing large scale scientific …

Effective data management is a crucial problem in distributed systems such as data grid and
cloud. This can be achieved by replicating file in a wise manner, which reduces data access …

In current Cloud computing environments, management of data reliability has become a
challenge. For data-intensive scientific applications, storing data in the Cloud with the typical …

Mining grid data is an interesting research field which aims at analyzing grid systems with
data mining techniques in order to efficiently discover new meaningful knowledge to …

Modern smartphones with the capability to be always online and equipped with data transfer
interfaces such as NFC allow to take advantage of a wide variety of services and pave the …

Scheduling in distributed computing systems is the process of allocating resources to a
computational task. The complexity of this allocation process increases with the amount of …

Grid computing has become a topic of significant interest in the scientific community as a
means of enabling application developers to aggregate resources scattered around the …