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Super Sizing Your Servers and the Payback Trap
Dr. Neil J. Gunther, Performance Dynamics
As part of IT management, system administrators and ops managers need to size servers and clusters to meet application performance targets; whether it be for a private infrastructure or a public cloud. In this talk I will first establish an analytic framework that can quantify linear, sublinear and negative scalability. This framework can easily be incorporated into Google Docs or R. Several examples including PostgreSQL, Memcached, Varnish and Amazon EC2 scalability will then be presented in detail. The lesser known phenomenon of superlinearity will be examined using this same framework. Superlinear scaling means achieving more performance than the available capacity would be expected to support.
Dr. Neil J. Gunther, Performance Dynamics
Neil Gunther, M.Sc., Ph.D. is a researcher specializing in performance and capacity management. Prior to starting his own consulting company in 1994 (www.perfdynamics.com), Neil worked on the NASA Voyager and Galileo missions, the Xerox PARC Dragon multiprocessor, and the Pyramid/Siemens RM1000 parallel cluster. Neil has authored many technical articles and several books including: Guerrilla Capacity Planning (Springer 2007) and the 2nd edition of Analyzing Computer System Performance with Perl::PDQ (Springer 2011) and received the A.A. Michelson Award in 2008.
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author = {Dr. Neil J. Gunther},
title = {Super Sizing Your Servers and the Payback Trap},
year = {2014},
address = {Seattle, WA},
publisher = {USENIX Association},
month = nov,
}
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