@mastersthesis {67,
	title = {Optimizing Energy and Performance for Server-Class File System Workloads},
	volume = {Master of Science},
	year = {2010},
	month = {05/2010},
	pages = {33},
	school = {Stony Brook University},
	type = {Master of Science Degree Thesis},
	address = {Stony Brook, NY},
	abstract = {<p>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{\textquoteright}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{\textquoteright}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{\textemdash}the file system{\textemdash}can improve power-performance efficiency by a factor ranging from 1.05 to 9.4 times.</p>
},
	url = {http://www.fsl.cs.stonybrook.edu/docs/priya-thesis/priya_thesis.pdf},
	author = {Priya Sehgal}
}
