abstract— data grids are an important branch of gird computing which provide mechanisms for the management of large volumes of distributed data. energy efficiency has recently emerged as a hot topic in large distributed systems. the development of computing systems is traditionally focused on performance improvements driven by the demand of client's applications in scientific and business ...

data grids support access to widely distributed storage for large numbers of users accessing potentially many files. to enhance access time, replication at nearby sites may be used. data replication, a technique much investigated bydata grid researchers in past years creates multiple replicas offile and places them in conventional locations to shorten fileaccess times. one of the problems in da...

data grid is an infrastructure that controls huge amount of data files, and provides intensive computational resources across geographically distributed collaboration. the heterogeneity and geographic dispersion of grid resources and applications place some complex problems such as job scheduling. most existing scheduling algorithms in grids only focus on one kind of grid jobs which can be data...

in the past, one of the biggest problems requiring long and complicated computing was lack of appropriate software and hardware facilities in order to compute them in a proper and logical time. due to this issue, sometimes, computing lasted for several days, months or years. therefore, computer science pioneers tried to find a solution for this problem. one of the ways was to present grid compu...

abstract - one of the important problems in grid environments is data replication in grid sites. reliability and availability of data replication in some cases is considered low. to separate sites with high reliability and high availability of sites with low availability and low reliability, clustering can be used. in this study, the data grid dynamically evaluate and predict the condition of t...

Abstract— Data grids are an important branch of gird computing which provide mechanisms for the management of large volumes of distributed data. Energy efficiency has recently emerged as a hot topic in large distributed systems. The development of computing systems is traditionally focused on performance improvements driven by the demand of client's applications in scientific and business domai...

Large-scale data management is a critical problem in a distributed system such as cloud,P2P system, World Wide Web (WWW), and Data Grid. One of the effective solutions is data replicationtechnique, which efficiently reduces the cost of communication and improves the data reliability andresponse time. Various replication methods can be proposed depending on when, where, and howreplicas are gener...

In data grid, using reservation is accepted to provide scheduling and service quality. Users need to have an access to the stored data in geographical environment, which can be solved by using replication, and an action taken to reach certainty. As a result, users are directed toward the nearest version to access information. The most important point is to know in which sites and distributed sy...

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...

grid computing is an emerging computing paradigm that will have significant impact on the next generation information infrastructure. due to the largeness and complexity of grid system, its quality of service, performance and reliability are difficult to model, analyze and evaluate. this paper proposes a virtual tree-structured model of the grid service. this model simplifies the physical struc...