Distributed Management of Massive Data: an Efficient Fine-Grain Data Access Scheme
| dc.creator | Nicolae, Bogdan | |
| dc.creator | Antoniu, Gabriel | |
| dc.creator | Bougé, Luc | |
| dc.date | 2008-10-13 | |
| dc.date.accessioned | 2026-07-07T10:09:37Z | |
| dc.date.available | 2026-07-07T10:09:37Z | |
| dc.description | 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. | |
| dc.identifier | https://arxiv.org/abs/0810.2227 | |
| dc.identifier | http://arxiv.org/abs/0810.2227 | |
| dc.identifier | Dans VECPAR 2008 (2008) | |
| dc.identifier.uri | http://salesiana.dossiersoluciones.com/handle/123456789/171372 | |
| dc.subject | Distributed, Parallel, and Cluster Computing | |
| dc.title | Distributed Management of Massive Data: an Efficient Fine-Grain Data Access Scheme | |
| dc.type | text |