SBIR Phase I:pNFS in the Cloud (pITC): A Replicated, Parallel File System for Cloud Computing

Award Information
Agency: National Science Foundation
Branch: N/A
Contract: 1014137
Agency Tracking Number: 1014137
Amount: $150,000.00
Phase: Phase I
Program: SBIR
Awards Year: 2010
Solicitation Year: 2010
Solicitation Topic Code: IC
Solicitation Number: NSF 09-609
Small Business Information
206 South Fifth Avenue, Suite 150, Ann Arbor, MI, 48104
DUNS: 145278177
HUBZone Owned: N
Woman Owned: Y
Socially and Economically Disadvantaged: N
Principal Investigator
 Matthew Benjamin
 (734) 761-4689
Business Contact
 Matthew Benjamin
Title: PhD
Phone: (734) 761-4689
Research Institution
This Small Business Innovation Research (SBIR) Phase I project will develop a cloud file system platform based on the recently-finalized NFSv4.1/pNFS standard, with extensions for flexible replication and service-bureau management. The intellectual merit of the project lies in novel mechanisms for flexible replication, by which the company means mutable replication (replication of writable data), client-based replication, and replication with negotiated consistency guarantees. The company propose pNFS replication layouts, which will enable servers and clients negotiate replication strategies that best fit administrative preferences to application consistency requirements. Mutable replication with consistency is a major advance in the state of the art for distributed filing, as implementations in mainstream distributed file systems have not emerged. The broader goals of the project include advancement of standards-based storage infrastructure, advancement of open source as well as proprietary file system technology, and development of software infrastructure that can be readily commercialized. The result is well suited to deployment on commodity computing equipment, but also to integration with dedicated, fast storage and networking hardware. The goals of the effort include increasing the flexibility and simplicity of current storage management abstractions, exceeding the current state of the art. Experiences with the current system at enterprise scale suggest that the volume abstraction be enriched with classifications (such as volumes with specific availability and consistency guarantees, replication strategies, or underlying storage capability), from which organizations can construct policies. The investigators have received expressions of interest from commercial and academic organizations willing to participate in early stage pilots to provide testing, feedback, and validation.

* Information listed above is at the time of submission. *

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