Efficient VM Storage for Clouds Based on the High-Throughput BlobSeer BLOB Management System

Alexandra Carpen-Amarie 1 Tuan Viet Dinh 1 Gabriel Antoniu 1
1 KerData - Scalable Storage for Clouds and Beyond
IRISA-D1 - SYSTÈMES LARGE ÉCHELLE, Inria Rennes – Bretagne Atlantique
Abstract : Cloud computing has recently emerged as a new computing paradigm aiming at providing reliable, flexible, IT infrastructure and services based on externalized, virtual resources. In this context, users may upload Virtual Machine (VM) images into a Cloud storage service, from which they are propagated on demand to the physical nodes on which they are supposed to run. It is therefore important for the Cloud storage service to provide efficient support for VM storage in a context where a large number of clients may concurrently upload a large number of VMs, each of which may subsequently be needed by a large number of computing nodes. This paper addresses the problem of building such an efficient distributed repository for Cloud Virtual Machines. To meet this goal, our approach leverages BlobSeer, a system for efficient management of massive data concurrently accessed at a large-scale, as a storage back end for the Cloud VM repository. As a case study, we consider the Nimbus Cloud environment, whose repository currently relies on the GridFTP high-performance file transfer protocol. We have integrated BlobSeer as a back-end storage layer for GridFTP and evaluated our prototype on the Grid'5000 testbed.
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Alexandra Carpen-Amarie, Tuan Viet Dinh, Gabriel Antoniu. Efficient VM Storage for Clouds Based on the High-Throughput BlobSeer BLOB Management System. [Research Report] RR-7434, INRIA. 2010, pp.12. ⟨inria-00528928⟩

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