Add to ORKGAbstract. Storage is undoubtedly one of the main resources in data grids, and planning the capacity of storage nodes is an important step in any data-grid design. This paper focuses on storage-capacity planning for data grids. We have developed a tool to calculate, for a specific scenario, the minimum capacity required for each storage node in a grid, and we have used this tool to show that different strategies used for data replication may lead to different storage requirements, affecting the storage-capacity planning
Data Grid is an infrastructure that manages huge amount of data files, and provides intensive comput...
Data grid is an infrastructure that manages huge amounts of data files, and provides intensive compu...
Data is one of the domains in grid research that deals with the storage, replication, and management...
Abstract--Grid computing provides virtual organizations of geographically distributed users with sof...
Replication is an important activity in determining the availability of resources in data grid.Never...
Efficient data access is one way of improving the performance of the Data Grid. In order to speed up...
The abstract Data Grid is an infrastructure that manages huge amount of data files, and provides int...
Data Grid is an infrastructure that manages huge amount of data files, and provides intensive comput...
Data Grid is a geographically distributed environment that deals with data intensive application in ...
The emergent of scientific applications which produce a huge volume of data files to be managed and ...
International audienceReplicating for performance constitutes an important issue in large-scale data...
Data grids provide scalable infrastructure for storage resource and data files management, which sup...
Abstract—In data grids, data replication on variant nodes can change some problems such as response ...
Grid is a distributed system that enables dynamic aggregation of geographically dislocated computing...
Data replication strategy is widely adopted for large scale data-intensive applications in distribut...
Data Grid is an infrastructure that manages huge amount of data files, and provides intensive comput...
Data grid is an infrastructure that manages huge amounts of data files, and provides intensive compu...
Data is one of the domains in grid research that deals with the storage, replication, and management...
Abstract--Grid computing provides virtual organizations of geographically distributed users with sof...
Replication is an important activity in determining the availability of resources in data grid.Never...
Efficient data access is one way of improving the performance of the Data Grid. In order to speed up...
The abstract Data Grid is an infrastructure that manages huge amount of data files, and provides int...
Data Grid is an infrastructure that manages huge amount of data files, and provides intensive comput...
Data Grid is a geographically distributed environment that deals with data intensive application in ...
The emergent of scientific applications which produce a huge volume of data files to be managed and ...
International audienceReplicating for performance constitutes an important issue in large-scale data...
Data grids provide scalable infrastructure for storage resource and data files management, which sup...
Abstract—In data grids, data replication on variant nodes can change some problems such as response ...
Grid is a distributed system that enables dynamic aggregation of geographically dislocated computing...
Data replication strategy is widely adopted for large scale data-intensive applications in distribut...
Data Grid is an infrastructure that manages huge amount of data files, and provides intensive comput...
Data grid is an infrastructure that manages huge amounts of data files, and provides intensive compu...
Data is one of the domains in grid research that deals with the storage, replication, and management...