Distributed Management of Massive Data: an Efficient Fine-Grain Data Access Scheme

Details Distributed Management of Massive Data: an Efficient Fine-Grain Data Access Scheme Distributed Management of Massive Data: an Efficient Fine-Grain Data Access Scheme

2008-10-13

arxiv.org/abs/0810.2227v1

Dans VECPAR 2008 (2008)

Computer Science

Distributed, Parallel, and Cluster Computing

Scientific paper

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.

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