inria-00323248, version 1
Distributed Management of Massive Data: an Efficient Fine-Grain Data Access Scheme
VECPAR '08: Proceedings of the 8th International Conference on High Performance Computing for Computational Science 5336 (2008) 532-543
Abstract: This paper addresses the problem of efficiently storing and accessing massive data blocks in a large-scale distributed environment, while providing efficient fine-grain access to data subsets. This issue is crucial in the context of applications in the field of databases, data mining and multimedia. We propose a data sharing service based on distributed, RAM-based storage of data, while leveraging a DHT-based, natively parallel metadata management scheme. As opposed to the most commonly used grid storage infrastructures that provide mechanisms for explicit data localization and transfer, we provide a transparent access model, where data are accessed through global identifiers. Our proposal has been validated through a prototype implementation whose preliminary evaluation provides promising results.
- a – Université Rennes I
- b – INRIA
- c – Ecole Normale Supérieure de Cachan
- 1:
- CNRS : UMR6074 – INRIA – École normale supérieure de Cachan - ENS Cachan – Institut National des Sciences Appliquées (INSA) - Rennes – Université de Rennes 1
- Collaboration : Grid'5000
- Domain : Computer Science/Distributed, Parallel, and Cluster Computing
- Keywords : high performance distributed computing – large scale data sharing – distributed data management – lock-free – fine grain access
- inria-00323248, version 1
- http://hal.inria.fr/inria-00323248
- oai:hal.inria.fr:inria-00323248
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- Submitted on: Sunday, 12 October 2008 22:45:21
- Updated on: Monday, 23 April 2012 16:53:20
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