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...

Replica selection is one of the fundamental problems in Data Grid’s environment. This work’s concern is designing a Two phased Service Oriented Broker (2SOB) for replica selection. It is focused on investigating, selecting, modifying, and experimenting with some non-conventional approaches to be applied on the relevant selection techniques. Themotivation of this work is to introduce a novel Ser...

The Data Grid enables the sharing, selection, and connection of a wide variety of geographically distributed computational and storage resources for solving large-scale data intensive scientific applications. Such technology efficiently manage and transfer terabytes or even petabytes of data for dataintensive, high-performance computing applications in wide-area, distributed computing environme...

In many scientific applications, Grid technologies and infrastructures facilitate distributed resource sharing and coordination in dynamic, heterogeneous multi-institutional environments. Replication of data can help enable high-throughput file transfer and scalable resource storage in scientific Grid applications that involve large data transfers. The selection of a replica can, however, signi...

Data Grid is a geographically distributed environment that deals with data intensive application in scientific and enterprise computing. Data replication is a common method used to achieve efficient and fault-tolerant data access in Grids. In this paper, a dynamic data replication strategy, called Enhanced Latest Access Largest Weight (ELALW) is proposed. This strategy is an enhanced version of...

Partial collection replication improves performance and scalability of a large-scale distributed information retrieval system by distributing excessive workloads, reducing network latency, and restricting some searches to a small percentage of data. In this paper, we rst examine queries from real system logs and show that there is suucient query locality in real systems to justify partial colle...

Fifth generation (5G) networks have a high requirement for low latency of data delivery. Information-centric networking (ICN) adopts the paradigm separation identifier and locator. It is efficient in content distribution by supporting in-network caching has potential to satisfy 5G. Replica selection key problem retrieving ICN. Prior research usually utilizes nearest replica. However, using repl...

Partial collection replication improves performance and scalability of a large-scale distributed information retrieval system by distributing excessive workloads, reducing network latency, and restricting some searches to a small percentage of data. In this paper, we rst examine queries from real system logs and show that there is suucient query locality in real systems to justify partial colle...