The Grid provides infrastructure that allows an arbitrary application to be executed on a range of different computational resources. When input files are very large, or when fault tolerance is important, the data may be replicated. Existing Grid data replication middleware suffers from two shortcomings. First, it typically requires modification to existing applications. Second, there is limited support on automatic resource selection and a user usually chooses the replica manually to optimize the performance of the system. In this paper we discuss a middleware layer called the GriddLeS Replication Service (GRS) that sits above existing replication services, solving both of these shortcomings. Two case studies are presented that illustrate ...
A Data Grid is a wide area computing infrastructure that employs Grid technologies to provide storag...
Data replication is one of the best known strategies to achieve high levels of availability and faul...
Abstract. Building Digital Libraries (DL) on top of data Grids while facilitating data access and mi...
Modern scientific experiments can generate large amounts of data, which may be replicated and distri...
Data replication is a well-known technique used in distributed systems in order to improve fault tol...
The emergent of scientific applications which produce a huge volume of data files to be managed and ...
Data grids are currently proposed solutions to large-scale data management problems, including effic...
Data Grid is an infrastructure that manages huge amount of data files, and provides intensive comput...
Existing approaches to replication based middleware suffers from performance limitations with the ad...
Abstract—Data Grid is an infrastructure that manages huge amount of data files, and provides intensi...
Grid is a distributed system that enables dynamic aggregation of geographically dislocated computing...
Thesis (M.S.)--Wichita State University, College of Engineering, Dept. of Electrical Engineering and...
The design of Data Grids allows grid facilities to manage data files and their corresponding replica...
A Data Grid is a wide area computing infrastructure that employs Grid technologies to provide storag...
Abstract--Grid computing provides virtual organizations of geographically distributed users with sof...
A Data Grid is a wide area computing infrastructure that employs Grid technologies to provide storag...
Data replication is one of the best known strategies to achieve high levels of availability and faul...
Abstract. Building Digital Libraries (DL) on top of data Grids while facilitating data access and mi...
Modern scientific experiments can generate large amounts of data, which may be replicated and distri...
Data replication is a well-known technique used in distributed systems in order to improve fault tol...
The emergent of scientific applications which produce a huge volume of data files to be managed and ...
Data grids are currently proposed solutions to large-scale data management problems, including effic...
Data Grid is an infrastructure that manages huge amount of data files, and provides intensive comput...
Existing approaches to replication based middleware suffers from performance limitations with the ad...
Abstract—Data Grid is an infrastructure that manages huge amount of data files, and provides intensi...
Grid is a distributed system that enables dynamic aggregation of geographically dislocated computing...
Thesis (M.S.)--Wichita State University, College of Engineering, Dept. of Electrical Engineering and...
The design of Data Grids allows grid facilities to manage data files and their corresponding replica...
A Data Grid is a wide area computing infrastructure that employs Grid technologies to provide storag...
Abstract--Grid computing provides virtual organizations of geographically distributed users with sof...
A Data Grid is a wide area computing infrastructure that employs Grid technologies to provide storag...
Data replication is one of the best known strategies to achieve high levels of availability and faul...
Abstract. Building Digital Libraries (DL) on top of data Grids while facilitating data access and mi...