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Solving enterprise applications performance puzzles : queuing models to the rescue / Leonid Grinshpan.

By: Grinshpan, L. A. (Leonid Abramovich)Contributor(s): Wiley InterScience (Online service)Material type: TextTextPublication details: Hoboken, N.J. : Wiley-IEEE Press, 2012. Edition: 1st edDescription: 1 online resourceContent type: text Media type: computer Carrier type: online resourceISBN: 9781118161920; 1118161920; 1118061578; 9781118061572; 9781118161890; 1118161890; 9781118161913; 1118161912Subject(s): Queuing theory | COMPUTERS -- Software Development & Engineering -- General | Queuing theoryGenre/Form: Electronic books.Additional physical formats: Print version:: Solving enterprise applications performance puzzles.DDC classification: 658.4/034 LOC classification: T57.9 | .G75 2012Other classification: COM051230 Online resources: Wiley Online Library
Contents:
Queuing Networks as Applications Models -- Building and Solving Application Models -- Workload Characterization and Transaction Profiling -- Servers, CPUs, and other Building Blocks of Application Scalability -- Operating System Overhead -- Software Bottlenecks -- Performance and Capacity of Virtual Systems -- Model-Based Application Sizing: Say Good-Bye to Guessing -- Modeling Different Application Configurations.
Summary: "Poorly performing enterprise applications are the weakest links in corporation's management chains causing delays and disruptions of critical business functions. This groundbreaking book frames enterprise application performance engineering not as an art but as applied science built on model-based methodological foundation. The book introduces queuing models of enterprise application that visualize, demystify, explain, and solve system performance issues. Analysis of the models discovers and clarifies not obvious connections and correlations among workloads, hardware architecture, and software parameters"-- Provided by publisher.Summary: "This proposed book is the first on the market that frames enterprise application performance engineering not as an art but as applied science built on model-based methodological foundation. The book introduces queuing models of enterprise application that visualize, demystify, explain, and solve system performance issues. Analysis of the models discovers and clarifies not obvious connections and correlations among workloads, hardware architecture, and software parameters"-- Provided by publisher.
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Queuing Networks as Applications Models -- Building and Solving Application Models -- Workload Characterization and Transaction Profiling -- Servers, CPUs, and other Building Blocks of Application Scalability -- Operating System Overhead -- Software Bottlenecks -- Performance and Capacity of Virtual Systems -- Model-Based Application Sizing: Say Good-Bye to Guessing -- Modeling Different Application Configurations.

"Poorly performing enterprise applications are the weakest links in corporation's management chains causing delays and disruptions of critical business functions. This groundbreaking book frames enterprise application performance engineering not as an art but as applied science built on model-based methodological foundation. The book introduces queuing models of enterprise application that visualize, demystify, explain, and solve system performance issues. Analysis of the models discovers and clarifies not obvious connections and correlations among workloads, hardware architecture, and software parameters"-- Provided by publisher.

"This proposed book is the first on the market that frames enterprise application performance engineering not as an art but as applied science built on model-based methodological foundation. The book introduces queuing models of enterprise application that visualize, demystify, explain, and solve system performance issues. Analysis of the models discovers and clarifies not obvious connections and correlations among workloads, hardware architecture, and software parameters"-- Provided by publisher.

Includes bibliographical references and index.

Print version record.

Software Engineering