Enabling High Data Throughput in Desktop Grids Through Decentralized Data and Metadata Management: The BlobSeer Approach

Bogdan Nicolae (1) , Gabriel Antoniu (1) , Luc Bougé (1)

1 KerData - Scalable Storage for Clouds and Beyond

Whereas traditional Desktop Grids rely on centralized servers for data management, some recent progress has been made to enable distributed, large in- put data, using to peer-to-peer (P2P) protocols and Content Distribution Networks (CDN). We make a step further and propose a generic, yet efficient data storage which enables the use of Desktop Grids for applications with high output data re- quirements, where the access grain and the access patterns may be random. Our solution builds on a blob management service enabling a large number of con- current clients to efficiently read/write and append huge data that are fragmented and distributed at a large scale. Scalability under heavy concurrency is achieved thanks to an original metadata scheme using a distributed segment tree built on top of a Distributed Hash Table (DHT). The proposed approach has been imple- mented and its benefits have successfully been demonstrated within our BlobSeer prototype on the Grid'5000 testbed.

Mots clés: desktop grids; distributed metadata management; data intensive applications; large data size; heavy access concurrency; high speed writes

Domaines: Calcul parallèle, distribué et partagé [cs.DC]

Bogdan Nicolae, Gabriel Antoniu, Luc Bougé. Enabling High Data Throughput in Desktop Grids Through Decentralized Data and Metadata Management: The BlobSeer Approach. Euro-Par 2009, TU Delft, Aug 2009, Delft, Netherlands. pp.404-416, ⟨10.1007/978-3-642-03869-3_40⟩. ⟨inria-00410956v1⟩