A functional and performance-oriented comparison of AFS and SRB
AuthorBAYLISS, CHRISTOPHER; SINNOTT, RICHARD
Source TitleUK e-Science All Hands Meeting
PublisherNational e-Science Centre, University of Glasgow
AffiliationComputing and Information Systems
Document TypeConference Item
CitationsBayliss, C., & Sinnott, R. (2008). A functional and performance-oriented comparison of AFS and SRB. In UK e-Science All Hands Meeting, Edinburgh, UK.
Access StatusOpen Access
This is a pre-print of a paper from UK e-Science All Hands Meeting 2008. http://www.allhands.org.uk/2008/index.html
In this paper the Storage Resource Broker (SRB)  and the Andrew File System (AFS)  are compared and contrasted in terms of their use as a data storage for Grid based systems. Both the SRB and AFS are distributed file systems capable of storing data produced and consumed by applications and Grid services. The SRB is well established and deployed by many projects globally include widespread deployment across the UK e-Science National Grid Service. AFS is also a distributed file system initially developed as part of the Andrew Project by Carnegie Mellon University and IBM in 1983. AFS is currently being used by the nanoCMOS project [3, 4] for providing secure access to data and applications through usage of Kerberos tokens. While both SRB and AFS can be used as data back ends they have specific properties that make them better suited for different types of usage. In some cases this may be a critical issue where some feature is required but not available in one or both of the candidates. This paper provides a description of these differences, focusing in particular on the security models, their relative performance with a range of file sizes and their general usability. Based on this analysis we present the key criteria that projects should consider for adoption of file based data management.
KeywordsStorage Resource Broker; SRB; Andrew File System; AFS; data storage; grid systems; distributed file systems; Kerberos tokens; security models; file based data management
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