The Data Grid, like all other collaboration models, has strict rules for contributors to follow and many criteria to abide with. Namespace is one of the rules that govern the contr...
Selection of resources for execution of scientific workflows in data grids becomes challenging with the exponential growth of files as a result of the distribution of scientific e...
High performance data grids are increasingly becoming popular platforms to support data-intensive applications. Reducing high energy consumption caused by data grids is a challeng...
As Data Grids become more commonplace, large data sets are being replicated and distributed to multiple sites, leading to the problem of determining which replica can be accessed ...
Sudharshan Vazhkudai, Jennifer M. Schopf, Ian T. F...
: The “Grid” is an emerging infrastructure for coordinating access across autonomous organizations to distributed, heterogeneous computation and data resources. Data grids are ...
The functionality that is provided by Mass Storage Systems can be implemented using data grid technology. Data grids already provide many of the required features, including a log...
Michael Wan, Arcot Rajasekar, Reagan Moore, Phil A...
Data grids federate storage resources. They provide a logical name space that can be used to register digital entities, a storage repository ion for manipulating data, and a high ...
Arcot Rajasekar, Michael Wan, Reagan Moore, George...
Caching techniques have been used to improve the performance gap of storage hierarchies in computing systems. In data intensive applications that access large data files over wid...
Data Grids provide geographically distributed resources for large-scale data-intensive applications that generate large data sets. However, ensuring efficient access to such huge...
Houda Lamehamedi, Zujun Shentu, Boleslaw K. Szyman...
Collaborative work requires, more than ever, access to data located on multiple autonomous and heterogeneous data sources. The development of these novel information platforms, ref...