The dangers of replication and a solution
SIGMOD '96 Proceedings of the 1996 ACM SIGMOD international conference on Management of data
Data management and transfer in high-performance computational grid environments
Parallel Computing - Parallel data-intensive algorithms and applications
Giggle: a framework for constructing scalable replica location services
Proceedings of the 2002 ACM/IEEE conference on Supercomputing
Models for Replica Synchronisation and Consistency in a Data Grid
HPDC '01 Proceedings of the 10th IEEE International Symposium on High Performance Distributed Computing
Adaptable Replica Consistency Service for Data Grids
ITNG '06 Proceedings of the Third International Conference on Information Technology: New Generations
A taxonomy of Data Grids for distributed data sharing, management, and processing
ACM Computing Surveys (CSUR)
Relaxed Data Consistency with CONStanza
CCGRID '06 Proceedings of the Sixth IEEE International Symposium on Cluster Computing and the Grid
An efficient update propagation algorithm for P2P systems
Computer Communications
Decentralized data management framework for data grids
Future Generation Computer Systems - Special section: Data mining in grid computing environments
Data replication techniques for data-intensive applications
ICCS'06 Proceedings of the 6th international conference on Computational Science - Volume Part IV
| Hi-index | 0.00 |
Data replication is a well known technique used to reduce accesses latency, improve availability, and performance in a distributed computing environment. An asynchronous replication is a commonly agreed solution for the consistency of replicas problem. Update propagation using a classical propagation schema called the radial method suffers from high overhead of the master replica while line method suffers from high delay time. This paper presents a new asynchronous replication protocol called Update Propagation Grid (UPG) which especially for a wide area distributed Data Grid. Updates reach other replicas using a propagation technique based on nodes organized into a logical structure network that enables the technique to scale well for thousands of replicas. Restructuring operation is provided to build and reconfigure the UPG dynamically. An analytical model is developed; communication cost, average load balance, and average delay time have been analyzed. The technique achieves load balancing and minimizes the delay for file replication in Data Grid.