OSDI '96 Proceedings of the second USENIX symposium on Operating systems design and implementation
Data-intensive computing and digital libraries
Communications of the ACM
The grid: blueprint for a new computing infrastructure
The grid: blueprint for a new computing infrastructure
Data Management in an International Data Grid Project
GRID '00 Proceedings of the First IEEE/ACM International Workshop on Grid Computing
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
A novel data grid coherence protocol using pipeline-based aggressive copy method
GPC'07 Proceedings of the 2nd international conference on Advances in grid and pervasive computing
Globus toolkit version 4: software for service-oriented systems
NPC'05 Proceedings of the 2005 IFIP international conference on Network and Parallel Computing
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To gain high performance computing or store large amount of data using inexpensive devices, grid system is one of the well-known solutions. In most cases, the grid can be categorized into two types: computational grid and data grid. Data grid is used for data intensive applications. In data grids, replication is used to reduce access latency and bandwidth consumption. Furthermore, 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 propose a novel Greedy Pipeline-based Aggressive Copy (GPAC) protocol. The performance of pipelining dataset blocks and greedy sequencing in the GPAC can accelerate data replication speed in compared with previous works. Both analytical and experimental results show promising performance enhancements.