Abstract—The objective in Data Grids is to reduce access and file (replica) transfer latencies, as well as to avoid single site congestion by the numerous requesters. To facilitate access and transfer of the data, the files of the Data Grid are distributed across the multiple sites. The effectiveness of a replica selection strategy in data grids depends on its ability to serve the requirement posed by the users ' jobs. Most jobs are required to be executed at a specific execution time. To achieve the QoS perceived by the users, response time metrics should take into account a replica selection strategy. Total execution time needs to factor latencies due to network transfer rates and latencies due to search and location. Network resourc...
Data Grid is an infrastructure that manages huge amount of data files, and provides intensive comput...
Data Grid is an infrastructure that manages huge amount of data files, and provides intensive comput...
Data grid system is a data management infrastructure that facilitates reliable access and sharing of...
The design of Data Grids allows grid facilities to manage data files and their corresponding replica...
Abstract. A data grid functions as a scalable base for grid services to manage data files and their ...
The emergent of scientific applications which produce a huge volume of data files to be managed and ...
Data Grid is an infrastructure that manages huge amount of data files, and provides intensive comput...
Abstract—In data grids, data replication on variant nodes can change some problems such as response ...
Data replication strategy is widely adopted for large scale data-intensive applications in distribut...
In data-intensive applications, multiple copies of the same data were created to improve reliability...
across many sites in different geographical locations primarily to improve data access and transfer ...
Replication in data grids increases data availability, accessibility and reliability. Replicas of d...
Data Grid is a geographically distributed environment that deals with data intensive application in ...
Abstract—Data replications is a typical strategy for improving access performance and data availabil...
Abstract--Grid computing provides virtual organizations of geographically distributed users with sof...
Data Grid is an infrastructure that manages huge amount of data files, and provides intensive comput...
Data Grid is an infrastructure that manages huge amount of data files, and provides intensive comput...
Data grid system is a data management infrastructure that facilitates reliable access and sharing of...
The design of Data Grids allows grid facilities to manage data files and their corresponding replica...
Abstract. A data grid functions as a scalable base for grid services to manage data files and their ...
The emergent of scientific applications which produce a huge volume of data files to be managed and ...
Data Grid is an infrastructure that manages huge amount of data files, and provides intensive comput...
Abstract—In data grids, data replication on variant nodes can change some problems such as response ...
Data replication strategy is widely adopted for large scale data-intensive applications in distribut...
In data-intensive applications, multiple copies of the same data were created to improve reliability...
across many sites in different geographical locations primarily to improve data access and transfer ...
Replication in data grids increases data availability, accessibility and reliability. Replicas of d...
Data Grid is a geographically distributed environment that deals with data intensive application in ...
Abstract—Data replications is a typical strategy for improving access performance and data availabil...
Abstract--Grid computing provides virtual organizations of geographically distributed users with sof...
Data Grid is an infrastructure that manages huge amount of data files, and provides intensive comput...
Data Grid is an infrastructure that manages huge amount of data files, and provides intensive comput...
Data grid system is a data management infrastructure that facilitates reliable access and sharing of...