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Parallel Processing of Data, Metadata, and Aggregates within an Archival Storage System User Interface (Toward Archiving a Million Files and a Million Megabytes per Minute)

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4 Author(s)
Roschke, M.A. ; High Performance Comput. Div., Los Alamos Nat. Lab., Los Alamos, NM ; Parliman, B.J. ; Cook, D.P. ; Sherrill, C.D.

Archiving large datasets requires parallel processing of both data and metadata for timely execution. This paper describes the work in progress to use various processing techniques, including multi-threading of data and metadata operations, distributed processing, aggregation, and conditional processing to achieve increased archival performance for large datasets.

Published in:

Storage Network Architecture and Parallel I/Os, 2008. SNAPI '08. Fifth IEEE International Workshop on

Date of Conference:

22-22 Sept. 2008