Dissertation/Thesis Abstract

Optimizing energy and performance for server-class file system workloads
by Sehgal, Priya, M.S., State University of New York at Stony Brook, 2010, 42; 1477353
Abstract (Summary)

Recently, power has emerged as a critical factor in designing components of storage systems, especially for power-hungry data centers. While there is some research into power-aware storage stack components, there are no systematic studies evaluating each component’s impact separately. Various factors like workloads, hardware configurations, and software configurations impact the performance and energy efficiency of the system. This thesis evaluates the file system’s impact on energy consumption and performance. We studied several popular Linux file systems, with various mount and format options, using the FileBench workload generator to emulate four server workloads: Web, database, mail, and file server, on two different hardware configurations. The file system design, implementation, and available features have a significant effect on CPU/disk utilization, and hence on performance and power. We discovered that default file system options are often suboptimal, and even poor. In this thesis we show that a careful matching of expected workloads and hardware configuration to a single software configuration—the file system—can improve power-performance efficiency by a factor ranging from 1.05 to 9.4 times.

Indexing (document details)
Advisor: Zadok, Erez
Commitee: Johnson, Rob, Wong, Jennifer
School: State University of New York at Stony Brook
Department: Computer Science
School Location: United States -- New York
Source: MAI 48/06M, Masters Abstracts International
Source Type: DISSERTATION
Subjects: Energy, Computer science
Keywords: Benchmarking study, Energy efficiency, File systems, Performance analysis, Storage systems
Publication Number: 1477353
ISBN: 9781124044392
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