Table of Contents

• Enabling the Strategy-Focused IT Organization with Balanced ScorecardRobert S. Gold. 1-6
• Introduction to Software Performance EngineeringConnie U. Smith, Lloyd G. Williams. 7-14
• The Dimensions of Service - Exploring WLM s Solution SpaceRich Olcott. 15-82
• Storage Networking Primer and UpdateGreg P. Schulz. 83-92
• Grid Computing - 100 CPU Utilization (And Loving It)Chris L. Molloy. 93-100
• Exploring the I/O Performance Characteristics of Intel Based FLEX-ES Servers for z/OSH. Pat Artis. 101-110
• System Performance Management and Capacity PlanningBernard Domanski. 111-122
• Internet Web Site Capacity is not Resource UtilizationsClayton S. Ching. 123-130
• How to save half a million pounds (or 150 MIPS) without really tryingGraham P. Prentice. 131-146
• On the Performability of Computing Systems: An Analytic ApproachPierre M. Fiorini, Yiping Ding. 147-154
• A Capacity Planning Partnership with the BusinessLinwood Merritt. 155-160
• Sampling Issues in the Collection of Performance DataJavier Munoz, Yiping Ding. 161-168
• Statistical Performance MonitoringYiping Ding, Kenneth Newman. 169-180
• Oracle Performance Management on major Operating Systems (WULZ)Adam Grummitt. 181-192
• Unix Capacity Planning for Mainframe Capacity Planners: A rapid development, low cost Case StudyIan C. Baldwin. 193-208
• Using the z/OS SNMP MIB to Solve Performance ProblemsNalini J. Elkins. 209-218
• Get Real! The Importance of Realism for Web Site Performance AssessmentPhilip C. Joung. 219-228
• SPE Experiences Panel: An Economic AnalysisConnie U. Smith, Lloyd G. Williams. 229-230
• Proactive Performance for 100-fold Growth in a Very Large Stock ExchangeRajesh K. Mansharamani. 231-240
• Sizing Exchange 2000 Server based on Exchange 5.5 WorkloadsSaqib N. Syed, Deborah A. Sheetz. 241-252
• Application Tuning - A Lost Practice or A Waste of Resources?William R. Sullivan. 253-264
• SSL Solutions and Performance CriteriaSanjay Raja. 265-270
• Load Testing, Benchmarking, and Application Performance Management for the WebDaniel A. Menascé. 271-282
• .NET - What Is It And What Does It Mean To Enterprise Computing?Bernard Domanski. 283-292
• Data Warehouse PerformanceDavid C. Beulke. 293-306
• PASA(SM): An Architectural Approach to Fixing Software Performance ProblemsLloyd G. Williams, Connie U. Smith. 307-320
• Monitoring NT PerformanceJerry L. Rosenberg. 321-332
• Falling From a Log - Techniques for Workload CharacterisationAdrian Johnson. 333-342
• Dynamic Performance Tuning in a Unix Environment: A Collaborative CMAC DesignClyde V. Moseberry, Chi-haur Wu. 343-352
• Web Application Performance: Realistic Work Load for Stress TestMark M. Maccabee, Sheng Ma. 353-362
• Performance Analysis of a Distributed Unix-OS390 workloadRobert E. Chaney. 363-372
• Outsourcing - what will happen, and what will happen to YOU?Gregory V. Caliri. 373-378
• Insight through simplicityAlexandre Brandwajn. 379-386
• Analyzing and Forecasting a Customer Relationship Management (CRM) ApplicationRick E. Isom. 387-392
• How We Successfully Converted to WLM Batch InitiatorsKelly L. Vogt. 393-400
• Stepwise Refinement: A Pragmatic Approach for Modeling Web ApplicationsAmy C. Spellmann, Richard L. Gimarc. 401-416
• Analyzing Modern Disk Arrays with RMFCharles T. McGavin Jr.. 417-424
• An Introduction to the InfiniBand ArchitectureOdysseas I. Pentakalos. 425-432
• Sins of Precision: Damaging Digits in Capacity CalculationsNeil J. Gunther. 433-446
• Performance Analysis and Tuning for DB2 UDBTim Foxon. 447-458
• Managing Computer Performance ConsultingThomas E. Bell. 459-470
• An Integrated Performance Modeling Approach for Distributed Applications and ICT SystemsBart Gijsen, Robert D. van der Mei. 471-482
• The performance of Web services applications in Windows 2000: monitoring ASP, COM+, and .NetMark B. Friedman. 483-498
• IRD: What LPAR Clusters Can Do For You!Alan M. Sherkow. 499-508
• Measuring the Performance and Scalability of Business Logic ComponentsScott R. Matsumoto, Irfan A. Chaudhry. 509-520
• A Capacity Planning Approach for the Newcomer: Where Do I Start?Daniel F. Schwarz, Sue Rohr. 521-526
• I Love it when a Plan Comes TogetherCathy A. Wright. 527-534
• Creative Statistics - are Performance Numbers Absolute or is Spin Inevitable in their Presentation?Adam Grummitt. 535-546
• An Efficient Initial Investigation on Performance Problems Using Event-Trace Based MeasurementTakashi Horikawa. 547-556
• Global and Application Level Exception Detection System, Based on MASF TechniqueIgor A. Trubin. 557-566
• Workload Characterization and Capacity Planning for DB2 Universal DatabaseYefim Somin, Art Rodriguez. 567-576
• Capacity on Demand Across PlatformsBernard Domanski. 577-584
• Capacity Planning for Distributed Systems : A Practical ApproachMark A. Basalla. 585-590
• .NET Server: An OverviewOdysseas I. Pentakalos. 591-598
• The Web Laboratory - Performance on the WebDenise T. Arruda. 599-606
• Capacity Planning in the Development CycleJohn P. Pilch. 607-616
• Scaling Resilient Storage NetworksGreg P. Schulz. 617-628
• The Impact of Growth on Virtual Tape SubsystemsWilliam T. Gray. 629-640
• Chargeback Challenges in a Web-Based EnvironmentDave Adams. 641-646
• A Cornucopia of Opportunities: DB2 Application PerformanceCraig Hodgins. 647-658
• SNAP, SNAP, FLASH, CONCURRENT, GOOSE The Data Set Instant Copy GameGregory A. Korbecki. 659-666
• New Software Performance AntiPatterns: More Ways to Shoot Yourself in the FootConnie U. Smith, Lloyd G. Williams. 667-674
• Linux I/O Performance on VMThomas Beretvas, Barton Robinson. 675-684
• UNIX IO Performance Measurement Applied to Old and New StorageTechnologiesMark Cohen Austrowiek, Pierluigi Grassi. 685-712
• Reporting Upward: A rules based methodology for assessing available Distributed Systems CapacityArt Morlock. 713-722
• Mainframe Software Capacity Planning - IBM s WLC and the Effects on Your Capacity PlanAlan M. Sherkow. 723-728
• The Effect of Workload Groupings on Distributed Transaction Capacity ModelsTim R. Norton. 729-738
• Measuring and Analyzing Server PerformanceBarton Robinson, Thomas Beretvas. 739-746
• Performance Options on a Peer-to-Peer Virtual Tape ServerAare Onton, Jesse L. Thrall. 747-752
• Performance and Capacity Tools - One Size Doesn t Fit AllChris L. Molloy. 753-758
• Interpreting NT Queue Length MeasurementsYiping Ding, Ethan D. Bolker, Yefim Somin. 759-770
• How Do You Eat an Elephant? or How to Digest Application Performance in Bite-Size ChunksAmy C. Spellmann. 771-780
• Performance Curves Do Look AlikeBruce McNutt. 781-786
• Interpreting SQL Server 2000 Performance CountersJeffry A. Schwartz. 787-798
• Optimal Webserver Session Timeout Settings for Web UsersWei Xie. 799-820
• QNAS - a Queuing Network Animation SystemJozo J. Dujmovic, Fang Pan. 821-830