A data intensive distributed computing architecture for “grid” applications
Future Generation Computer Systems - Special issue on high performance computing and networking Europe 1999
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SIGMETRICS '02 Proceedings of the 2002 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
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ER '98 Proceedings of the Workshops on Data Warehousing and Data Mining: Advances in Database Technologies
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Proceedings of the 2002 ACM/IEEE conference on Supercomputing
MSS '01 Proceedings of the Eighteenth IEEE Symposium on Mass Storage Systems and Technologies
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IPDPS '03 Proceedings of the 17th International Symposium on Parallel and Distributed Processing
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CCGRID '02 Proceedings of the 2nd IEEE/ACM International Symposium on Cluster Computing and the Grid
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HPDC '01 Proceedings of the 10th IEEE International Symposium on High Performance Distributed Computing
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Future Generation Computer Systems - Special issue: Advanced grid technologies
Future Generation Computer Systems
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The impact of data replication on job scheduling performance in the Data Grid
Future Generation Computer Systems
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Future Generation Computer Systems
Future Generation Computer Systems
A Recursively-Adjusting Co-allocation scheme with a Cyber-Transformer in Data Grids
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Future Generation Computer Systems
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APPT'07 Proceedings of the 7th international conference on Advanced parallel processing technologies
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ICCSA'07 Proceedings of the 2007 international conference on Computational science and its applications - Volume Part III
Emergent algorithms for replica location and selection in data grid
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PHFS: A dynamic replication method, to decrease access latency in the multi-tier data grid
Future Generation Computer Systems
A Decentralized Deployment Strategy and Performance Evaluation of LCG File Catalog Service
Journal of Grid Computing
A Decentralized Periodic Replication Strategy Based on Knapsack Problem
GRID '12 Proceedings of the 2012 ACM/IEEE 13th International Conference on Grid Computing
Job scheduling and dynamic data replication in data grid environment
The Journal of Supercomputing
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A new class of data intensive applications has led to increased demand for cost-efficient resource sharing approaches. Yet, providing efficient access to widely distributed data for large numbers of users poses considerable challenges. Most existing Grid systems are centrally managed, thus hindering their scalable expansion. We introduce a new distributed, adaptive, and scalable middleware that provides transparent access to data in Data Grids. Our approach relies on dynamic techniques that adapt replica creation to continuously changing network connectivity and users' behavior. Results from simulations and deployment of our middleware show that our solution provides better data access performance than static approaches.