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In this paper, we present our developed health-IT solution that address these challenges: developing the strategies not only to store such a vast amount of data but also making those available to the researchers for further analysis that can measure the ...

Replication is one common way to effectively address challenges for improving the data management in data grids. It has attracted a lot of work and many replication strategies have therefore been proposed. Most of these strategies consider a single file-...

Today, the management of massive data collections draws much attention as data grids have been developed to deal with large computational problems and provide the opportunity for sharing geographically distributed resources for largeï scale dataï ...

Data replication in data grids is an efficient technique that aims to improve response time, reduce the bandwidth consumption and maintain reliability. In this context, a lot of work is done and many strategies have been proposed. Unfortunately, most of ...

Data grids often integrate many geographically dispersed storage and computational resources to provide users with an environment in which scientists and scientific researchers can execute their large-scale applications and store their data collected ...

Data Grid integrates graphically distributed resources for solving data intensive scientific applications. Effective scheduling in Grid can reduce the amount of data transferred among nodes by submitting a job to a node, where most of the requested data ...

To speed up data transmission of data grids, several co-allocation schemes have been proposed. However, data grids are often large in scale, heterogeneous in participating resources, and complicated in architecture and network topology, consequently ...

A millions of data has been produce by cross-organizational research and collaborations must be managed, shared and analyzed. Data grid is a useful technique to solve these tasks that applicable to process the large number of data produced by scientific ...

Data Replication Broker is one of the most important components in data grid architecture as it reduces latencies related to file access and file transfers (replica). Thus it enhances performance since it avoids single site congestion by the numerous ...

Grid computing is the combination of computer resources in a loosely coupled, heterogeneous, and geographically dispersed environment. Grid data are the data used in grid computing, which consists of large-scale data-intensive applications, producing ...

In this paper, we propose an adaptive data replication algorithm, called the Popular File Replicate First algorithm (PFRF for short), which is developed on a star-topology data grid with limited storage space based on aggregated information on previous ...

This paper deals with resource discovery in data Grid environments while taking into account the semantic heterogeneity of data sources. A domain ontology is associated to each domain and mappings exist between these domain ontologies. Our resource ...

Grid computing provides the effective sharing of computational and storage resources among geographically distributed users. In most of the organizations, there are large amounts of underutilized computing power and storage existing. On the other hand ...

While data grids can provide the ability to solve large-scale applications which require the processing of large amounts of data, they have been recognized as extremely energy inefficient. Computing elements can be located far away from the data storage ...

Data access latency is one of the important factors of system performance in federated data grid. However, different replication strategies resulted in different access latency. This paper proposes a model of replication strategy in federated data grid ...

Data access latency is one of the important factors of system performance in federated data grid. However, different replication strategies resulted in different access latency. This paper proposes a model of replication strategy in federated data grid ...

In the last years we observed an explosive growth in the number and size of electronic data repositories, often organized and structured according to the emerging distributed computing paradigm referred to as the datagrid. Here, one of the most ...

Data Grid is a kind of wide-area, distributed storage system, which can provide huge storage capacity. There are millions of files in data grid, distributed in hundreds of geographically dispersed storage resources. Given a unique logical identifier for ...

This paper presents a design for a mobile data grid architecture using agent technology, on which is based our proposed Resource-Aware Replica-Scheduling co-allocation algorithm for the mobile data grid environment. Mobile clients can access replicas of ...

This paper presents a data sharing system called On-Demand data Co-Allocation (ODCA). ODCA integrates the advantages of the co-allocation concepts with the conventional on-demand data access scheme. It transfers the necessary file fragments from ...