OSDI '96 Proceedings of the second USENIX symposium on Operating systems design and implementation
The grid: blueprint for a new computing infrastructure
The grid: blueprint for a new computing infrastructure
Data management and transfer in high-performance computational grid environments
Parallel Computing - Parallel data-intensive algorithms and applications
An Efficient Lock Protocol for Home-Based Lazy Release Consistency
CCGRID '01 Proceedings of the 1st International Symposium on Cluster Computing and the Grid
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
Globus toolkit version 4: software for service-oriented systems
NPC'05 Proceedings of the 2005 IFIP international conference on Network and Parallel Computing
Enhancing data replication with greedy pipeline-based aggressive copy protocol in data grids
ISPA'07 Proceedings of the 5th international conference on Parallel and Distributed Processing and Applications
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Grid systems are well-known for its high performance computing or large data storage with inexpensive devices. They can be categorized into two major types: computational grid and data grid. Data grid is used for data intensive applications. In data grids, replication is used to reduce access latency. It can also improve data availability, load balancing and fault tolerance. If there are many replicas, they may have coherence problems while being updated. In this paper, based on the aggressive-copy method, we developed an algorithm using pipeline concept, such that the data transfer tasks can be done simultaneously. This novel Pipeline-based Aggressive Copy method can accelerate the update speed and decrease users' waiting times. We used Globus toolkit for our framework. Compared with the existing schemes and from the preliminary simulation results, our method shows notable improvement in overall completion time.