As data volumes increase at a high speed in more and more application fields of science,
engineering, information services, etc., the challenges posed by data-intensive computing …

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 …

Data is typically replicated in a Data Grid to improve the job response time and data
availability. Strategies for data replication in a Data Grid have previously been proposed, but …

Data replication is a method to improve the performance of data access in distributed
systems. Dynamic replication is a kind of replication that adapts replication configuration …

Data replication is a practical and effective method to achieve efficient and fault-tolerant data
access in grids. Traditionally, data replication schemes maintain an entire replica in each …

Delay-tolerant networking is used for communication in challenged environments such as
MANETs, in which links are unstable and end-to-end paths between communicating nodes …

Data grids have been adopted by many scientific communities that need to share, access,
transport, process, and manage geographically distributed large data collections. Data …

Recently, data replication algorithms have been widely employed in data grids to replicate
frequently accessed data to appropriate sites. The purposes are shortening file transmission …

In data-intensive distributed systems, replication is the most widely used approach to offer
high data availability, low bandwidth consumption, increased fault-tolerance and improved …

Delay-tolerant networking (DTN) enables nodes to communicate by means of asynchronous
messaging witout the need for an end-to-end path. Suitably designed application protocols …