Add to ORKGEfficient Data Grids should provide users with services for optimised access to data. In the design of data access services is therefore extremely relevant to evaluate and compare adaptable data selection algorithms, especially when location and number of file copies are expected to change dynamically over time. In this paper we use Petri Nets to formally evaluate candidate protocols to be used by data access services for selection of Grid-wide replicated data files that need to be analysed by Grid jobs. In particular, we compare a centralised Replica Catalogue-based protocol with a Peer-2-Peer protocol, where there is no centralised knowledge about data location. Our results show that the Peer-to-Peer protocol is more scalable than the cen...
In a world-wide computational Grid, users typically want their jobs to be executed as fast as possib...
In recent years data grids have been deployed and grown in many scientific experiments and data cent...
Data Grid provides distributed resources for dealing with large-scale applications that generate hug...
The design of Data Grids allows grid facilities to manage data files and their corresponding replica...
Abstract—The objective in Data Grids is to reduce access and file (replica) transfer latencies, as w...
Abstract—Data replications is a typical strategy for improving access performance and data availabil...
As efforts to develop grid computing solutions gather pace, considerable attention has been directed...
Data Grid is an infrastructure that manages huge amount of data files, and provides intensive comput...
Scientific Data Grid mostly deals with large computational problems. It provides geographically dist...
ABSTRACT: Scientific Data Grid mostly deals with large computational problems. It provides geograph...
Scientific Data Grid provides geographically distributed resources for large-scale data-intensive ap...
Optimising the use of Grid resources is critical for users to effectively exploit a Data Grid. Data ...
Abstract—In data grids, data replication on variant nodes can change some problems such as response ...
Abstract. A data grid functions as a scalable base for grid services to manage data files and their ...
Abstract—Data Grid is an infrastructure that manages huge amount of data files, and provides intensi...
In a world-wide computational Grid, users typically want their jobs to be executed as fast as possib...
In recent years data grids have been deployed and grown in many scientific experiments and data cent...
Data Grid provides distributed resources for dealing with large-scale applications that generate hug...
The design of Data Grids allows grid facilities to manage data files and their corresponding replica...
Abstract—The objective in Data Grids is to reduce access and file (replica) transfer latencies, as w...
Abstract—Data replications is a typical strategy for improving access performance and data availabil...
As efforts to develop grid computing solutions gather pace, considerable attention has been directed...
Data Grid is an infrastructure that manages huge amount of data files, and provides intensive comput...
Scientific Data Grid mostly deals with large computational problems. It provides geographically dist...
ABSTRACT: Scientific Data Grid mostly deals with large computational problems. It provides geograph...
Scientific Data Grid provides geographically distributed resources for large-scale data-intensive ap...
Optimising the use of Grid resources is critical for users to effectively exploit a Data Grid. Data ...
Abstract—In data grids, data replication on variant nodes can change some problems such as response ...
Abstract. A data grid functions as a scalable base for grid services to manage data files and their ...
Abstract—Data Grid is an infrastructure that manages huge amount of data files, and provides intensi...
In a world-wide computational Grid, users typically want their jobs to be executed as fast as possib...
In recent years data grids have been deployed and grown in many scientific experiments and data cent...
Data Grid provides distributed resources for dealing with large-scale applications that generate hug...