Enabling Lock-Free Concurrent Fine-Grain Access to Massive Distributed Data: Application to Supernovae Detection - Archive ouverte HAL Accéder directement au contenu
Communication Dans Un Congrès Année : 2008

Enabling Lock-Free Concurrent Fine-Grain Access to Massive Distributed Data: Application to Supernovae Detection

Résumé

We consider the problem of efficiently managing massive data in a large-scale distributed environment. We consider data strings of size in the order of Terabytes, shared and accessed by concurrent clients. On each individual access, a segment of a string, of the order of Megabytes, is read or modified. Our goal is to provide the clients with efficient fine-grain access the data string as concurrently as possible, without locking the string itself. This issue is crucial in the context of applications in the field of astronomy, databases, data mining and multimedia. We illustrate these requiremens with the case of an application for searching supernovae. Our solution relies on distributed, RAM-based data storage, while leveraging a DHT-based, parallel metadata management scheme. The proposed architecture and algorithms have been validated through a software prototype and evaluated in a cluster environment.
Fichier principal
Vignette du fichier
paper.pdf (243 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

inria-00329698 , version 1 (13-10-2008)

Identifiants

Citer

Bogdan Nicolae, Gabriel Antoniu, Luc Bougé. Enabling Lock-Free Concurrent Fine-Grain Access to Massive Distributed Data: Application to Supernovae Detection. CLUSTER '08: Proceedings of the 2008 IEEE International Conference on Cluster Computing, Sep 2008, Tsukuba, Japan. pp.310-315, ⟨10.1109/CLUSTR.2008.4663787⟩. ⟨inria-00329698⟩
217 Consultations
201 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More