Storage Network Performance Analysis by Huseyin Simitci

Storage Network Performance Analysis



Download Storage Network Performance Analysis




Storage Network Performance Analysis Huseyin Simitci
Language: English
Page: 432
Format: chm
ISBN: 076451685X, 9780764516856
Publisher:

From the Back Cover

Your in-depth guide to analyzing and fine-tuning storage area network performance

Here, for the first time, is your complete resource for optimizing SAN performance and reliability in your organization. Whether you need to evaluate an existing system or design one from the ground up, this book provides a comprehensive, vendor-neutral collection of ideas, practices, guidelines, and frameworks for approaching performance-related issues. Dr. Huseyin Simitci expertly bridges the gap between the theory of performance analysis and the practice of storage system performance engineering, and includes a special case study section filled with real-world examples you can apply to your own SAN, starting today.

You’ll learn how to:Develop plans for managing SAN capacity, demand, and workload requirementsBenchmark and configure SANs to allocate sufficient network resources for adequately managing dataAnalyze and tune bandwidth, speed, throughput, and performanceUnderstand analytical modeling techniques and the use of simulation for performance analysisEstablish guidelines for modeling each storage system layerApply capacity planning techniques for storage systems and networks, taking into account performance analysis and price/performance considerationsReview and select software for performance data collection and storage performance managementFine-tune and optimize the host system and application, storage subsystem, and storage network layers

About the Author

HUSEYIN SIMITCI, PhD, is an engineering researcher at XIOtech Corporation and the author of several research papers devoted to high performance input/output systems and adaptive techniques in parallel file systems. His work contributed to the Scalable I/O Initiative and NSF-funded Grand Challenge programs.

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