Due to high latency of the Internet, it becomes a challenge to access large and widely distributed data quickly and efficiently on data grids. Replication is a process to address this issue, by storing data in different locations to reduce access latency and improve data locality. However, because of the limited storage capacity, a good replica replacement algorithm is needed to improve the eff...

Data Grid is a new kind of data management infrastructure. To improve access efficiency, large amounts of data on Data Grids need to be replicated in the form of replicas at distributed sites. Due to the limited storage capacity, a good replica replacement algorithm is needed. This paper proposes a replica replacement algorithm based on value-cost prediction, which achieves a good balance betwe...

The data grid technology, which uses the scale of the Internet to solve storage limitation for the huge amount of data, has become one of the hot research topics. Recently, data replication strategies have been widely employed in distributed environment to copy frequently accessed data in suitable sites. The primary purposes are shortening distance of file transmission and achieving files from ...

Abstract: A Data Grid connects a collection of geographically distributed computational and storage resources that enables users to share data and other resources. Data replication, a technique much discussed by Data Grid researchers in recent years creates multiple copies of file and places them in various locations to shorten file access times. In this paper, a dynamic data replication strate...

An effective replica management method can save bandwidth, reduce latency, balance load, and improve system reliability. A comprehensive scheme is introduced to manage replica for the grid environment. The schemes of replica creation and placement based on the frequency of visits and storage space, replica replacement based on the replica value, and replica selection based on comprehensive perf...

As grow as the data-intensive applications in cloud computing day after day, data popularity in this environment becomes critical and important. Hence to improve data availability and efficient accesses to popular data, replication algorithms are now widely used in distributed systems. However, most of them only replicate the static number of replicas on some requested chosen sites and it is ob...

Grid computing is one of the fastest emerging technologies within the high performance computing environment. Grid deployments that require access to and processing of data are called data grids. They are optimized for data oriented operation. In a data grid environment, data replication is an effective way to improve data accessibility. However, due to limited storage, a replica replacement st...

Data Grid is composed of a large number of distributed computation and storage resources to facilitate the management of the huge distributed and sharing data resources efficiently. Dynamic replication can reduce the file storage time and use the grid resources effectively in a Data Grid environment. The Data Grid topology is divided into three layers: Regional level, LAN level, the grid site l...

Data Grid provides sharing services for very large data around the world. Data replication is one of the most effective approaches to reduce access latency and response time. In addition to the benefits, replication has costs such as storage and bandwidth consumption, especially when storage space is low and limited. Therefore,  the data replacement should be done wisely. In this p...

Fault tolerance schemes for mobile agents to survive agent server crash failures are complex since developers normally have no control over remote agent servers. Some solutions modify the agent server platform, e.g. a replica of the mobile agent is injected into stable storage upon its arrival at an agent server. However in the event of an agent server crash the replica remains unavailable unti...