Storage Network Performance Analysis

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 data Analyze 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

Spis treści:
Preface.
Acknowledgments.
Part I: Performance Analysis Techniques.
Chapter 1: Introduction to Storage Networking Performance.
Chapter 2: Data Analysis Review.
Chapter 3: Analytic Modeling.
Chapter 4: Simulation Modeling.
Chapter 5: Experimental Analysis.
Part II: Performance Analysis and Modeling of Storage System Components.
Chapter 6: Modeling Storag e Devices.
Chapter 7: Modeling Storage Interconnects.
Chapter 8: Modeling Storage Networks.
Chapter 9: Modeling Storage Workloads.
Part III: Storage Performance Engineering.
Chapter 10: Storage Quality of Service.
Chapter 11: Storage Capacity Planning.
Part IV: Storage Performance Tools.
Chapter 12: Storage Benchmarks.
Chapter 13: Performance Management and Monitoring Tools.
Part V: Storage Performance Tuning.
Chapter 14: Host System Tuning.
Chapter 15: Application Tuning.
Chapter 16: Storage Subsystem Tuning.
Chapter 17: Storage Network Tuning.
Part VI: Case Studies.
Chapter 18: Simulating Network Attached Storag e Performance.
Chapter 19: Modeling Remote Storage Replication Performance.
Chapter 20: Web and E–Commerce Data Center Performance Analysis.
Appendix: Glossary of Terms and Acronyms.
Index.

Nota biograficzna:
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.

Okładka tylna:
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 data Analyze 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