Simulation of Dynamic Grid Replication Strategies in OptorSim
GRID '02 Proceedings of the Third International Workshop on Grid Computing
Identifying Dynamic Replication Strategies for a High-Performance Data Grid
GRID '01 Proceedings of the Second International Workshop on Grid Computing
Giggle: a framework for constructing scalable replica location services
Proceedings of the 2002 ACM/IEEE conference on Supercomputing
Evaluation of an Economy-Based File Replication Strategy for a Data Grid
CCGRID '03 Proceedings of the 3st International Symposium on Cluster Computing and the Grid
Towards an Economy-Based Optimisation of File Access and Replication on a Data Grid
CCGRID '02 Proceedings of the 2nd IEEE/ACM International Symposium on Cluster Computing and the Grid
File and Object Replication in Data Grids
HPDC '01 Proceedings of the 10th IEEE International Symposium on High Performance Distributed Computing
Data Replication Strategies in Grid Environments
ICA3PP '02 Proceedings of the Fifth International Conference on Algorithms and Architectures for Parallel Processing
Evaluating Scheduling and Replica Optimisation Strategies in OptorSim
GRID '03 Proceedings of the 4th International Workshop on Grid Computing
Computation scheduling and data replication algorithms for data Grids
Grid resource management
A taxonomy of Data Grids for distributed data sharing, management, and processing
ACM Computing Surveys (CSUR)
Planning spatial workflows to optimize grid performance
Proceedings of the 2006 ACM symposium on Applied computing
Complete and fragmented replica selection and retrieval in Data Grids
Future Generation Computer Systems
Job scheduling and data replication on data grids
Future Generation Computer Systems
An on-line replication strategy to increase availability in Data Grids
Future Generation Computer Systems
QoS-based dissemination of content in Grids
Future Generation Computer Systems
A dynamic data replication strategy using access-weights in data grids
The Journal of Supercomputing
Multi-Replication with Intelligent Staging in Data-Intensive Grid Applications
GRID '06 Proceedings of the 7th IEEE/ACM International Conference on Grid Computing
New worker-centric scheduling strategies for data-intensive grid applications
Proceedings of the ACM/IFIP/USENIX 2007 International Conference on Middleware
Access-pattern and bandwidth aware file replication algorithm in a grid environment
GRID '08 Proceedings of the 2008 9th IEEE/ACM International Conference on Grid Computing
Dynamic replication algorithms for the multi-tier Data Grid
Future Generation Computer Systems - Special issue: Parallel computing technologies
The impact of data replication on job scheduling performance in the Data Grid
Future Generation Computer Systems
The complexity of static data replication in data grids
Parallel Computing
PDDRA: A new pre-fetching based dynamic data replication algorithm in data grids
Future Generation Computer Systems
GRFM: an efficient grid-based replication and fault tolerant middleware
International Journal of Computational Science and Engineering
A classification of file placement and replication methods on grids
Future Generation Computer Systems
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Data grids provide large-scale geographically distributed data resources for data intensive applications such as high energy physics and bioinformatics. Optimizing the use of data resources to maximize the performance is critical for data grids. In this paper, we propose a novel dynamic data replication strategy called FIRE (file reunion), which is motivated by the observations that a group of jobs in a site tend to demand a common set of files distributed in a data grid. The basic idea of FIRE is to reunite the file set through data replication so that it resides with the job group on the same site. Extensive experiments using a well-known data grid simulator OptorSim and synthetic benchmarks demonstrate that compared with two existing schemes, LRU (Least Recently Used) and LFU (Least Frequently Used), FIRE performs obviously better in most scenarios.