Data grids are currently proposed solutions to large scale data management problems including efficient file transfer and replication. Large amounts of data and the world-wide distribution of data stores contribute to the complexity of the data management challenge. Recent architecture proposals and prototypes deal with dynamic replication strategies for a high-performance data grid. This paper...

One major challenge in data grids is how to provide good and timely access to huge amount of data in distributed locations, given the high latency of interconnection networks. Dynamic replication strategies are regarded as one of the major optimization technique for reducing access latency. In addition to reducing data access time, replication also aims to use network and storage resource effic...

This paper presents an eecient scheme for dynamic replication of data in distributed environments. The aim of the scheme is to increase system performance by intelligent data placement so as to optimize the message traac in the network. Research in the recent past has comparatively focussed very little on using replication for increasing performance but has instead been directed more at improvi...

Cloud computing has been a huge-scale parallel with shared computing system. It comprises an accumulation of inter-related plus virtualized calculating resources which are managed to be one or more amalgamated calculating resources. The target of the survey is a mechanized evaluation or else explanation of proceeding events in cloud data replication system. Completely, 34 papers are accumulated...

Data grids provide scalable infrastructure for storage resource and data files management, which support dataintensive applications that need to access to huge amount of data stored at distributed locations around the world. The size of these data can reach the scale of terabytes or even petabytes in many applications. These applications require reaching several main goals, namely efficient acc...

Abstract: Data Replication is copying the data from a certain location to another location. Replication is used in Data Grid to have two or more copies of the same data at different locations. In this paper, a Category-based dynamic replication strategy (CDRS) is proposed. The strategy takes into account that the replicas exist on a node belong to different categories. Each of these categories ...

Data Grids are increasingly popular in novel, demanding and dataintensive eScience applications. In these applications, vast amounts of data, generated by specialized instruments, need to be collaboratively accessed, processed and analyzed by a large number of users spread across several organizations. The nearly unlimited storage capabilities of Data Grids allow these data to be replicated at ...

Data Grid is a geographically distributed environment that deals with large-scale data-intensive 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 files are available. Data replication is another key optimization technique for reducing access latency and managing large data by storing ...

Dynamic replication can be used to reduce bandwidth consumption and access latency in high performance “data grids” where users require remote access to large files. Different replication strategies can be defined depending on when, where, and how replicas are created and destroyed. We describe a simulation framework that we have developed to enable comparative studies of alternative dynamic re...

In data grids scientific and business applications produce huge volume of data which needs to be transferred among the distributed and heterogeneous nodes of data grids. Data replication provides a solution for managing data files efficiently in large grids. The data replication helps in enhancing the data availability which reduces the overall access time of the file. In this paper an algorith...