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Author:   Huseyin Simitci (XIOtech Corporation, Shakopee, Minnesota)
Publisher:   John Wiley & Sons Inc
Imprint:   John Wiley & Sons Inc
Dimensions:   Width: 18.80cm , Height: 2.40cm , Length: 23.30cm
Weight:   0.653kg
ISBN:  

9780764516856

ISBN 10:   076451685
Pages:   432
Publication Date:   09 May 2003
Audience:   General/trade ,  Professional and scholarly ,  General/trade ,  General ,  Postgraduate, Research & Scholarly
Format:   Paperback
Publisher's Status:   Out of Print
Availability:   Out of print, replaced by POD  
We will order this item for you from a manufatured on demand supplier.

Table of Contents

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 Storage 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.

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Author Information

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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