Add to ORKGIn data-intensive applications, multiple copies of the same data were created to improve reliability and reduce the bandwidth consumption. Replica selection is the crucial factor in accessing data quickly and effectively. It affects task scheduling, thereby affecting the efficiency and service quality of the application. Within this paper, a modified replica selection strategy based on ant-algorithm in data-intensive grid is proposed. The strategy is implemented and compared with other file replica selection algorithms on simulator OptorSim. The experiments results show that the strategy discussed in this thesis has certain advantages in balancing the load of sites and reducing the mean job time
Computational grids process large, computationally intensive problems on small data sets. In contras...
In data grids huge amount of data are generated and processed by users around the world. Objective o...
Optimising the use of Grid resources is critical for users to effectively exploit a Data Grid. Data ...
In data-intensive applications, multiple copies of the same data were created to improve reliability...
Abstract—The objective in Data Grids is to reduce access and file (replica) transfer latencies, as w...
The design of Data Grids allows grid facilities to manage data files and their corresponding replica...
The emergent of scientific applications which produce a huge volume of data files to be managed and ...
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 amount of data files, and provides intensive comput...
Replication is one of the key techniques used in distributed systems to improve high data availabili...
Data Grid is an infrastructure that manages huge amount of data files, and provides intensive comput...
Replication in data grids increases data availability, accessibility and reliability. Replicas of d...
Data grid system is a data management infrastructure that facilitates reliable access and sharing of...
Abstract—In data grids, data replication on variant nodes can change some problems such as response ...
Computational grids process large, computationally intensive problems on small data sets. In contras...
In data grids huge amount of data are generated and processed by users around the world. Objective o...
Optimising the use of Grid resources is critical for users to effectively exploit a Data Grid. Data ...
In data-intensive applications, multiple copies of the same data were created to improve reliability...
Abstract—The objective in Data Grids is to reduce access and file (replica) transfer latencies, as w...
The design of Data Grids allows grid facilities to manage data files and their corresponding replica...
The emergent of scientific applications which produce a huge volume of data files to be managed and ...
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 amount of data files, and provides intensive comput...
Replication is one of the key techniques used in distributed systems to improve high data availabili...
Data Grid is an infrastructure that manages huge amount of data files, and provides intensive comput...
Replication in data grids increases data availability, accessibility and reliability. Replicas of d...
Data grid system is a data management infrastructure that facilitates reliable access and sharing of...
Abstract—In data grids, data replication on variant nodes can change some problems such as response ...
Computational grids process large, computationally intensive problems on small data sets. In contras...
In data grids huge amount of data are generated and processed by users around the world. Objective o...
Optimising the use of Grid resources is critical for users to effectively exploit a Data Grid. Data ...