Table of Contents

• Projection Algorithms for IBM DASD Cache Analysis ToolJean Ju, Stan Caldwell. 1-8
• A Multiple Workload Approach to Cache PlanningBruce McNutt, James W. Murray. 9-15
• Workload Characterization for Subsystems: A Case Study for IDMSEllen M. Friedman. 16-32
• Identification of Tuning Opportunities Through the Use of User Behavior GraphsCharles E. Hackett. 33-39
• VSAM Specification and Tuning: Optimization of VSAM Performance in Batch and CICS EnvironmentsFrank M. Bereznay. 40-45
• In Pursuit of DASD Data Path AlternativesBen Duhl. 46-52
• An Intuitive Approach to Performance Prediction with Application to Workload Management in VM SP/HPOJoseph L. Hellerstein. 53-63
• A Simple Linear Programming Model For Computation Center Investment DecisionsMatt J. Merges. 64-71
• A comparative study of System/370 CPU sGilbert E. Houtekamer, Rob van Hoboken, Guus Bonnes. 72-78
• Tightly-Coupled Effect Processor Contention OverheadJerry P. Place. 79-80
• Forecasting CPU Utilization in an IMS Environment: A Case Study Using Monte Carlo TechniquesWilliam T. Gray, M. Cheng. 81-86
• Modelling of a Production IMS System under a Multi-Function Processing ArchitectureDale Gilbert. 87-94
• Memory Management for Large IBM SystemsMichael R. Lee. 95-101
• Modelling Memory constrained systemsGilbert E. Houtekamer, Rob van Hoboken, Guus Bonnes. 102-109
• PROFS Capacity Planning IssuesAllan H. Shub. 110-117
• VM Performance - Top Down That Went Bottom UpMary Sue Dickerson. 118-121
• End-User Response Time Measurement - Not The Final SolutionPer Futtrup, Morten Panduro, Bent Vestermark. 122-132
• Determining End User Response Time Using NLDMMichael W. Yount. 133-137
• General Principles for Performance Oriented DesignConnie U. Smith. 138-144
• The System Performance Cycle: A Methodology For Architecting Product PerformanceDoug McBride. 145-150
• Expert Systems: Let s Build one TogetherFrank J. Ingrassia. 151-159
• A PROLOG-based Expert System for Tuning MVS/XABernard Domanski. 160-166
• A Flexible Approach to Performance Prediction For Large System Software DevelopmentA. Long, W. Suhler. 167-176
• Sizing New Automated Systems Having Unknown Workloads: A Structured ApproachJohn L. Gibson. 177-183
• An Experiment in the Calculation of Capture RatiosJohn F. Temperly, Robert J. Hardman. 184-188
• The Use of Regression Analysis in the Calculation of Capture RatiosMel F. Kirshin. 189-191
• Caching the Tape Library - Tape Reference Patterns and Automated Tape SystemsDaniel Kaberon. 192-200
• Analyzing the Performance Characteristics of 18-Track Tape TechnologyWilliam F. Dines Jr., Bradley A. Cahill. 201-207
• Static vs Dynamic Management of Consistently Very Active Data SetsMartha R. Henley, Ingrid Liu. 208-216
• A Simulation Model for Determining Optimal Freespace Levels on MVS Disk Storage VolumesKenneth E. Levy. 217-221
• New Measurement Data Sources for MVS X/A and its SubsystemsH. W. Barry Merrill. 222-232
• Expert Systems and MVS Performance ManagementJack van Kinsbergen. 233-236
• Expanded Storage Usage and TuningCarolyn Hanna. 237-245
• Measurement and Analysis of Expanded Storage in IBM 3090-400 SystemsJeffrey P. Buzen, J. William Mullen, Annie W. Shum. 246-251
• A Heuristic Modeling Approach to CICS Capacity PlanningSteven R. Hackenberg. 252-255
• Paging Analysis in an Expanded Storage EnvironmentThomas Beretvas. 256-265
• IBM 3090 Processor Expanded Storage ExperimentsJohn P. Pilch, Bernard Domanski. 266-271
• Is a Picture Always Worth a Thousand Words?Douglas R. MacKinnon. 272-278
• An Implementation of a Graphical Management Information System Using SymphonyDyna Wilson. 279-281
• The Need for a Network MonitorPhil Bodley. 282-296
• A Systematic Approach for Identifying Peak PeriodsH. Pat Artis. 287-289
• Workload-Oriented Performance Analysis in MVSStephen L. Samson. 290-295
• On the Optimization of Memory in Large Interactive EnvironmentsAnthony G. Mungal. 296-303
• Estimating the Maximum Throughput of a CYBER 930 Disk SubsystemAndrew Tron, John Sutherland. 304-309
• Performance Architecture Comparison of Vector Processors on Large Scientific and Commercial MachinesDavid S. Lindsay. 310-329
• A Technique for Evaluating the Performance of Vector ProcessorsDavid S. Lindsay. 330-335
• 3480 Performance and Capacity PlanningTed C. Keller. 336-344
• Transaction Resource DemandJames T. Cheeseman. 345-350
• Workload Characterization Using UNIX System AccountingJ. Jerik Tornheim, Richard T. Williams. 351-359
• A Benchmark Comparison of DB2 and the DBC/1012G. C. Steindel, H. G. Madison. 360-369
• Performance Tuning for a VAX-Based Relational Database Application: A Case Study and Lessons LearnedG. Burgess Allison. 370-389
• Empirical Models of DASD Response TimeJoseph B. Major. 390-398
• Large Capacity DASD: Is Performance Something to be Afraid of?Bruce McNutt. 399-404
• Capacity Planning for a Multi-Processor Environment Supporting CICS TransactionsDonald T. Gantz, Carlos M. Gonzalez, Melvin L. Moore. 405-414
• Model Timeframe Selection and Analysis of Variance of an Online Transaction Processing WorkloadTheresa A. Hellner, Dennis J. Henry. 415-422
• Disk Cache Performance ModelingMichael A. Salsburg. 423-431
• A Method For Reporting Cashed I/O Subsystem PerformanceNancy Nearing. 432-440
• Balanced Exponential Approximation AlgorithmArun Kumar, Melur K. Raghuraman. 441-445
• Sensitivity Analysis of System Changes Under a Production EnvironmentTachen Leo Lo. 446-451
• Characterizing UNIX Stream Mechanism Via Pipe ExperimentsT. Paul Lee. 452-457
• Analyzing File System Fragmentation on Unix SystemsBehrokh Samadi. 458-463
• Capacity Analysis of PBX SystemsTachen Leo Lo, Jack Peng. 464-473
• Conceptual Issues in Measuring the Behavior of a Distributed Real-Time Process-Control Computer SystemJ. Dennis Lawrence. 474-481
• Comprehensive Process for Projecting Computer ResourcesJohn Wandzilak, Raymond Murphy. 482-489
• Capacity Planning as a Business ProcessJerry L. Rosenberg. 490-495
• A Capacity Planning Methodology That is Destined to SucceedRuu-Tian Lawrence. 496-503
• What We Can Learn From Other Capacity Planners: A Survey of Quantitative MethodsBruce A. Ingraham. 504-507
• Managing Departmental Mainframe Demand Through Shared AccountabilityKenneth C. Jones. 508-514
• Management Reporting: An Approach To Availability and Service ReportingMichael Marcus. 515-517
• Quality Improvement in Capacity ManagementBrian P. Wessner. 518-521
• Performance/Capacity Data Base For Studies of Long-Term TrendsHulan E. Jack Jr., Kim Goldenberg, Roger Williams. 522-530
• Financial Considerations in Capacity PlanningJerry L. Rosenberg. 531-537
• Capacity Budgets and Financial Budgets: Relating Them to Each Other Through Resource AccountingJoseph W. Richardson. 538-542
• Experience in Cost AllocationJoseph Stancavish. 543-545
• Chargeback vs. Cost Accounting the Appropriate EmphasisGeorge J. Gillen Jr., Billy F. Henry. 546-548
• Performance Engineering: Some Lessons from the TrenchesThomas E. Bell, Anne M. Falk. 549-552
• Service Level Agreements: Good Fences Make Good Neighbors George W. (Bill) Miller. 553-558
• Service Level Agreement ChecklistRobert P. Goldberg, Leonard D. Lipner. 561-565
• Structured MIS PlanningVeli-Matti J. Salminen. 566-568
• Who Goes There? A Dialogue of Questions and Answers About Benign HackingDavid F. Stevens. 569-573
• Real World Performance Measurements for Unix-Based SystemsNeal Nelson. 574-578
• Storage Performance - An Eight Year OutlookStephen Goldstein. 579-585
• Cache Management in a Hostile EnvironmentRob Wells. 586-590
• Laser Optical Document Management Systems and Their Capacity Planning ImplicationsDavid E. Y. Sarna. 591-595
• Magnetic Cartridge Tape Configuration ManagementAnthony R. Guerrero. 596-598
• End-User Performance Measurement: An Automated PC ApproachGerri K. Martin Flickinger. 599-605
• Incorporating Data Networks into a Performance and Capacity Planning Structure - A Case StudyHugh Smith, Dyna Wilson. 606-607
• Some Experiences of Data Centre RelocationBrian Day. 608-610
• The Role of Capacity Planning in Consolidations, Acquisitions and MergersHolly E. K. Verbil. 611-616
• Can Service Units be Used for Uniform Chargebacks?Carl Claunch. 617-619
• A Fully Automatic Analytic Approach to Budget-Constrained System UpgradeSamuel T. Chanson, Angela S. O. Wong. 620-629
• Establishing Useful Business RelationshipsLeilani E. Allen. 630-635
• A Systems Engineering Look at SAAJames R. Cook. 636-650
• DASD Management: Let s Talk MoneyGreg H. Parker. 651-654
• Workload Characterization and Forecasting for a Large Commercial EnvironmentGeorge W. (Bill) Miller. 655-671
• A Strategy for Improving IO Subsystem Design Using Cost Per IO AnalysisA. L. (Roy) Jones. 672-684
• Report on the Large Systems Storage HeirarchyFred Moore, Jerry Percell. 685-697
• Bull Moose Does TA: A Manager s Guide to Transactional AnalysisJames A. Stanton. 698-702
• An Introduction to Business Element ForecastingJames R. Bowerman. 703-709
• The Use of Natural Forecasting UnitsJohn M. Reyland. 710-713
• After The Study Is OverCraig A. Cooley. 714-718
• Computer Acouisition after the Tax Reform Act of 1986: Exploring the PossibilitiesSudhir P. Amembal, Shawn D. Halladay. 719
• Incorporating Expert Systems Technology into Software Performance EngineeringDoyle Weishar. 720-722
• The Goldilocks SyndromeMike Berry. 723-724
• System Performance Management and Capacity PlanningBernard Domanski, John P. Pilch. 725-732
• Fundamentals of Statistical Workload ForecastingH. Pat Artis. 733
• A Capacity Planning/Queueing Theory Primer or How Far Can You Go on the Back/Of/An/Envelope?Ethan D. Bolker. 734-735
• High-Performance Processor DesignBill McCormack, Jay Michlin, Larry Brisson, Andy Martin. 736-740
• Implementing Network Capacity PlanningToby Olberding. 741-748
• The Theory and Practice of I/O TuningRich Olcott. 749-760
• Online Data Base vs. Raw System DataRobert H. Denis. 761-763
• Methodology to Develop a Tool for Monitoring CPU Usage by Applications Running under VMRobert D. Deese, Hossein H. Ghannad. 764-766
• CICS Performance and Workload ReportsChuck Comstock. 767-773
• An Introduction to Program-to-Program Communication and Peer-to-Peer Networking in an IBM SNA EnvironmentThomas W. McDonald. 774-786
• A Real-Life How-to-do-it Guide to ModellingMichael Taylor, Michael McElwee. 787-789
• Analytic Modeling for the Non-Analytic ModelerBarbara Sannerud. 790-794
• VM/HPO Performance MeasurementsMark S. Streger. 795-796
• Capacity Planning by the KISS MethodLarry Kayser. 797-800
• Reporting Availability at the Job Step LevelJim Scott. 801-806
• What Models Do and What Models Don tAllan I. Levy. 807
• Accounting for Workload Variation in Interval Selection and AnalysisBrian Williams. 808-815
• Tools and Methods Available for In-Depth VM Performance AnalysisDeborah C. Christopher. 816-821
• CICS and DB2: A Marriage Made in Heaven?Jason G. Shane, James Cook. 822-827
• Modelling CICS Systems: The Performance Impact of MRO Implementations and Data Base ConsiderationsEllen M. Friedman. 828-834
• Processor Storage I LOVE YOU. SIGNED TSOBernard A. Lichtig, Russell W. Martindale, Terri L. Parmelee. 835-857
• A Capacity Planning Methodology for Data NetworksJohn Harmon. 858-864
• Netview and Netview/PC TutorialKornel Terplan. 865-879
• A Survey of Performance Applications of the Teleprocessing Network Simulator(TPNS)Richard C. Burke. 880-888
• I/O Tuning in the MVS/XA EnvironmentRich Olcott. 889-900
• From Simple Regression to Analysis of Variance and Beyond - PainlesslyAnn C. Pool. 901-915
• High Performance I/O SubsystemsAnthony G. Mungal. 916-928
• Paging, Swapping and Expanded StorageJeffrey P. Buzen, J. William Mullen, Annie W. Shum. 929-935
• Performance Evaluation of Future System DesignsJ. M. Quernemoen, M. A. Fahland, B. G. LaPlante, T. L. Nelson. 936-946
• 3090-Class Processor Architectures and Workload Performance LevelsGary Keeney, Greg Simmons. 947-948
• Coupled Systems for PerformanceEdward I. Cohen. 949-958
• A Computer and Communication Network Performance Analysis Primer (Prentice Hall, Englewood Cliffs, NJ, 1985; revised, 1987)Bart W. Stuck, Ed Arthurs. 959-961
• A Close Look at MVS Systems: Mechanisms, Performance and SecurityRonald Paans. 962-969
• CICS - Designing for PerformanceEric Emanuel. 970-980
• Rules of ThumbHarry Zimmer. 981-987
• Good Tools and Models are not Enough: On the Necessity for Bi-Directional CommunicationEllen E. Robertson, Dottie Cunningham. 988
• Executive Views and Expectations of Capacity PlanningJames A. Stanton. 989-990
• Successful Software Performance Engineering (Panel)Connie U. Smith. 991-993