NASA Scientific and Technical Aerospace Reports
NASA Scientific and Technical Aerospace Reports
NASA Scientific and Technical Aerospace Reports
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version compatibly issues surfacing once again. Maturity will take some time.<br />
Author<br />
Data Storage; Stockpiling; Data Management; Consolidation<br />
20040121058 Paderborn Univ., Germany<br />
V:Drive: Costs <strong>and</strong> Benefits of an Out-of-B<strong>and</strong> Storage Virtualization System<br />
Brinkmann, Andre; Heidebuer, Michael; MeyeraufderHeide, Friedhelm; Ruekert, Ulrich; Salzwedel, Kay; Vodisek, Mario;<br />
<strong>NASA</strong>/IEEE MSST 2004 Twelfth <strong>NASA</strong> Goddard Conference on Mass Storage Systems <strong>and</strong> Technologies in cooperation<br />
with the Twenty-First IEEE Conference on Mass Storage Systems <strong>and</strong> Technologies; April 2004, pp. 153-157; In English; See<br />
also 20040121020<br />
Contract(s)/Grant(s): DFG-IST-1999-14186; No Copyright; Avail: CASI; A01, Hardcopy<br />
The advances in network technology <strong>and</strong> the growth of the Internet together with upcoming new applications like<br />
peer-to-peer (P2P) networks have led to an exponential growth of the stored data volume. The key to manage this data<br />
explosion seems to be the consolidation of storage systems inside storage area networks (SANs) <strong>and</strong> the use of a storage<br />
virtualization solution that is able to abstract from the underlying physical storage system. In this paper we present the first<br />
measurements on an out-of-b<strong>and</strong> storage virtualization system <strong>and</strong> investigate its performance <strong>and</strong> scalability compared to a<br />
plain SAN. We show in general that a carefully designed out-of-b<strong>and</strong> solution has only a very minor impact on the CPU usage<br />
in the connected servers <strong>and</strong> that the metadata management can be efficiently h<strong>and</strong>led. Furthermore we show that the use of<br />
an adaptive data placement scheme in our virtualization solution V:Drive can significantly enhance the throughput of the<br />
storage systems, especially in environments with r<strong>and</strong>om access schemes.<br />
Author<br />
Data Storage; Computer Storage Devices<br />
20040121059 California Univ., Lawrence Berkeley National Lab., Berkeley, CA, USA<br />
GUPFS: The Global Unified Parallel File System Project at NERSC<br />
Butler, Greg; Lee, Rei; Welcome, Mike; <strong>NASA</strong>/IEEE MSST 2004 Twelfth <strong>NASA</strong> Goddard Conference on Mass Storage<br />
Systems <strong>and</strong> Technologies in cooperation with the Twenty-First IEEE Conference on Mass Storage Systems <strong>and</strong> Technologies;<br />
April 2004, pp. 361-371; In English; See also 20040121020<br />
Contract(s)/Grant(s): DE-AC03-76SF-00098; No Copyright; Avail: CASI; A03, Hardcopy<br />
The Global Unified Parallel File System (GUPFS) project is a five -year project to provide a scalable, high -performance,<br />
high -b<strong>and</strong>width, shared file system for the National Energy Research <strong>Scientific</strong> Computing Center (NERS C). This paper<br />
presents the GUPFS testbed configuration, our benchmarking methodology, <strong>and</strong> some preliminary results.<br />
Author<br />
Information Transfer; Computer Storage Devices; Computer Networks<br />
20040121060 California Univ., Santa Cruz, CA, USA<br />
Duplicate Data Elimination in a SAN File System<br />
Hong, Bo; Long, Darrell D. E.; Plantenberg, Demyn; Sivan-Zimet, Miriam; <strong>NASA</strong>/IEEE MSST 2004 Twelfth <strong>NASA</strong> Goddard<br />
Conference on Mass Storage Systems <strong>and</strong> Technologies in cooperation with the Twenty-First IEEE Conference on Mass<br />
Storage Systems <strong>and</strong> Technologies; April 2004, pp. 301-314; In English; See also 20040121020; No Copyright; Avail: CASI;<br />
A03, Hardcopy<br />
Duplicate Data Elimination (DDE) is our method for identifying <strong>and</strong> coalescing identical data blocks in Storage Tank, a<br />
SAN file system. On-line file systems pose a unique set of performance <strong>and</strong> implementation challenges for this feature.<br />
Existing techniques, which are used to improve both storage <strong>and</strong> network utilization, do not satisfy these constraints. Our<br />
design employs a combination of content hashing, copy-on-write, <strong>and</strong> lazy updates to achieve its functional <strong>and</strong> performance<br />
goals. DDE executes primarily as a background process. The design also builds on Storage Tank’s FlashCopy function to ease<br />
implementation. We include an analysis of selected real-world data sets that is aimed at demonstrating the space-saving<br />
potential of coalescing duplicate data. Our results show that DDE can reduce storage consumption by up to 80% in some<br />
application environments. The analysis explores several additional features, such as the impact of varying file block size <strong>and</strong><br />
the contribution of whole file duplication to the net savings.<br />
Author<br />
Deletion; Data Processing; Data Storage<br />
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