A new solution of Dijkstra's concurrent programming problem
Communications of the ACM
Identifying Dynamic Replication Strategies for a High-Performance Data Grid
GRID '01 Proceedings of the Second International Workshop on Grid Computing
The UK e-science core programme and the grid
Future Generation Computer Systems - Grid computing: Towards a new computing infrastructure
Grid Computing: Making the Global Infrastructure a Reality
Grid Computing: Making the Global Infrastructure a Reality
XML parsing: a threat to database performance
CIKM '03 Proceedings of the twelfth international conference on Information and knowledge management
Comparison of UDDI Registry Replication Strategies
ICWS '04 Proceedings of the IEEE International Conference on Web Services
A taxonomy of Data Grids for distributed data sharing, management, and processing
ACM Computing Surveys (CSUR)
WS-replication: a framework for highly available web services
Proceedings of the 15th international conference on World Wide Web
Migol: A fault-tolerant service framework for MPI applications in the grid
Future Generation Computer Systems
Aneka: Next-Generation Enterprise Grid Platform for e-Science and e-Business Applications
E-SCIENCE '07 Proceedings of the Third IEEE International Conference on e-Science and Grid Computing
FIRE: A File Reunion Based Data Replication Strategy for Data Grids
CCGRID '10 Proceedings of the 2010 10th IEEE/ACM International Conference on Cluster, Cloud and Grid Computing
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Grid computing provides geographically distributed resources for large-scale complex applications which involve huge data management services. There is a need for availability, fault tolerance, scalability and high-performance in a service-oriented environment as grid. The proposed grid-based replication and fault tolerant middleware GRFM is a solution for data availability by eliminating faults in grids. GRFM is an adaptive replication grid middleware framework especially designed for high-performance applications. It enables data synchronisation between multiple heterogeneous databases located remotely in a grid. The proposed framework offers: an effective replicating strategy, mechanism to handle faulty nodes, totally ordered communication mechanism, improved membership service, hash-based replica locating service, and support for scalability and security features. GRFM reduces the system overhead by reducing the traffic in the grid and thereby improving the performance of data management for large-scale complex grid applications. Experiments are carried out on well-known grid computing tool kit Aneka Chu et al., 2007. The experimental results show that GRFM performs better when compared to universal description, discovery and integration framework UDDI lazy replication Sun et al., 2004, WS-based ring replication protocol WS-RRP Luckow and Schnor, 2008, and JGroups Ban, 1998 total ordering and group communication service approaches on real-time transaction databases.