A new solution of Dijkstra's concurrent programming problem
Communications of the ACM
XML parsing: a threat to database performance
CIKM '03 Proceedings of the twelfth international conference on Information and knowledge management
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
Towards Automatic Middleware Generation
ISORC '08 Proceedings of the 2008 11th IEEE Symposium on Object Oriented Real-Time Distributed Computing
Adaptive Checkpoint Replication for Supporting the Fault Tolerance of Applications in the Grid
NCA '08 Proceedings of the 2008 Seventh IEEE International Symposium on Network Computing and Applications
Evaluation of Coordinated Grid Scheduling Strategies
HPCC '09 Proceedings of the 2009 11th IEEE International Conference on High Performance Computing and Communications
Concurrency and Computation: Practice & Experience
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Existing approaches to replication based middleware suffers from performance limitations with the additional traffic in the Grid. Hence the proposed approach provides a replication middleware which offers highly efficient, consistent and fully replicated system for the Grid environment. This paper proposes a highly available fault tolerant Grid based replication middleware, which achieves replication of data dynamically upon incoming transaction request from the clients. The Grid based Replication Middleware (GRM) offers: Semi active replication strategy based on Total Ordering-Multicasting, SOAP based message communication, Dijkstra and Scholten election algorithm, improved Membership service and Hash based replica Location service to achieve high availability, heterogeneity, Fault tolerance, improved scalability, efficient data management services respectively and security features like authentication, authorization, message confidentiality are also addressed. Proposed GRM reduces the system overhead by reducing the traffic in the Grid and thereby improving the performance of data management for large scale complex Grid based applications.