Dependability Benchmarking for Computer Systems
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Beschreibung
A comprehensive collection of benchmarks for measuringdependability in hardware-software systems
As computer systems have become more complex andmission-critical, it is imperative for systems engineers andresearchers to have metrics for a system's dependability,reliability, availability, and serviceability. Dependabilitybenchmarks are useful for guiding development efforts for systemproviders, acquisition choices of system purchasers, andevaluations of new concepts by researchers in academia andindustry.
This book gathers together all dependability benchmarksdeveloped to date by industry and academia and explains the variousprinciples and concepts of dependability benchmarking. It collectsthe expert knowledge of DBench, a research project funded by theEuropean Union, and the IFIP Special Interest Group onDependability Benchmarking, to shed light on this important area.It also provides a large panorama of examples and recommendationsfor defining dependability benchmarks.
Dependability Benchmarking for Computer Systems includescontributions from a credible mix of industrial and academicsources: IBM, Intel, Microsoft, Sun Microsystems, CriticalSoftware, Carnegie Mellon University, LAAS-CNRS, TechnicalUniversity of Valencia, University of Coimbra, and University ofIllinois. It is an invaluable resource for engineers, researchers,system vendors, system purchasers, computer industry consultants,and system integrators.
Autor*in
Karama Kanoun
Themen in »Dependability Benchmarking for Computer Systems«
Computer Science Electrical & Electronics Engineering Elektrotechnik u. Elektronik Informatik Programmierung u. Software-Entwicklung Programming & Software Development Software Management Software-Management Systems Engineering & Management Systemtechnik u. -management
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"This is a technical book for sophisticated systems developments and implementers, but it is an excellent read for that audience, on a pressing topic for today's infrastructure planning and design." (Computing Reviews, January 19, 2009)
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