Abstract is missing.
- CMG-T: z/OS Tuning Basics: Understanding zIIPs and zAAPs, Managing z/OS Workloads Using WLM, WLM Management of Transactions and Servers, Parts 1-3 Glenn Anderson.
- ZIIPs & ZAAPs: Everything New & OldKathy Walsh.
- CMG-T: Statistics for Performance Analysis & Capacity Planning, Parts 1 - 2 Ray Wicks.
- Tuning for Oracle from an AIX Admin s PerspectiveJaqui Lynch.
- International: CMG Italy - Best Paper: Bigger Savings Using New z TechnologiesFabio Massimo Ottaviani.
- Practical SOA for System zGlenn R. Anderson.
- CMG-T: Modeling and Forecasting, Parts 1-2 Michael A. Salsburg.
- Mind the Gap - A Review of Gap Analyses of Capacity Management Practice in Various Enterprises.Adam Grummitt.
- Dash and Risk! Practical Experience in Implementing Capacity Management Process Audit at EuroclearAdam Grummitt, Noel Pierrard.
- SAP Capacity Planning and Performance Management Procedural Practices at IntelMary Anne Smith.
- CMG-T: Windows System Performance Measurement and Analysis, Parts 1-3 Jeffry Schwartz.
- The Latest z/OS WLM Functionality to Intelligently Manage WorkloadsGlenn R. Anderson.
- Death to Queues: A History of z/OS I/O Subsystem Performance ImprovementsTom Moulder.
- Planning for Green StorageGilbert Houtekamer.
- Mainframe LPAR Capacity Planning using SMF Type 70 RecordsPatrick J. Curren.
- Xen - A Real Alternative to VMware?Desmond P. Atkinson.
- Lots of data and Analysis Led us to a DB2 Performance Problem - NOW WHAT?John S. Van Wagenen.
- CMG-T: Capacity Planning Boot Camp, Parts 1-3 Neil J. Gunther.
- Knot not ITIL: How Not to Undo the ITSM Knot using ITSM from Hell Based on Not ITIL , Part 1 of 2 Adam Grummitt, Brian Johnson.
- Best Performance Practices using XML in DB2 9 for z/OSAkiko Hoshikawa.
- Multi-tiered Applications Sizing Methodology Based on Load Testing and Queuing Network ModelsLeonid Grinshpan.
- Wisdom to Know the Difference, The Economic Measurement of Operational Risk Dennis C. Wenk, Dean Campbell.
- CMG-T: TCP/IP Response Time Monitoring, Network Health Check, Baselining and Security Alerting for TCP/IP, Parts 1 - 3 Nalini J. Elkins.
- VMware Resource Balancing and High Availability Capacity Planning and Implementation ConsiderationsEllen M. Friedman.
- Excelling at DB2 Monitoring and ReportingRobert D. Andresen. 1-14
- Operating System Power DependenciesMichael Bailey, Timothy Rostrom, J. Ekstrom. 15-20
- The Improbable Success of Probabilistic ModelsJeffrey P. Buzen. 21-32
- Scaling Strategies and Tactics for Dynamic Web ApplicationsRichard Campbell. 33-44
- Accommodating the Inevitability of Failures in a Computer Center - Using a Simulation ToolUriel J. Carrasquilla. 45-60
- <head>, <body>, Links and Code: An Introduction to Using HTML to Present Your Data Scott Chapman. 61-74
- An Analytical Model for Application Performance IndexYiping Ding. 75-86
- Automating SMF Data Storage and Reporting for Processes UnknownBrian J. Farley. 87-92
- Capacity Planning on a Teradata DataWarehouseDavid Flynn, Matthew Adamson. 93-104
- Leveraging Open Source Technologies for Effective Performance TestingAmit Gawande, Suresh K. Khemka, Vikas Gupta. 105-112
- Attribute-based Workload Characterization: An Initial Case StudyK. Eric Harper, Jiang Zheng. 113-122
- Getting in the Zone for Successful ScalabilityJames Holtman, Neil J. Gunther. 123-136
- Graphically Determining zIIP UseJim Horne. 137-148
- Precise Measurement of Execution Time of Concurrent, Symmetric, and Short Tasks Mohammad Hasan Jamal. 149-160
- Model Sensitivity on Workload Invariants in Data NetworksBoris Jankovic. 161-172
- 10 Ways to Slow Down Your Java ApplicationsPeter Johnson. 173-184
- Load Testing on a BudgetPeter Johnson. 185-196
- A Kalm Approach to Capacity Planning - Road RulesDenise P. Kalm. 197-206
- Automating Process Pathology Detection - Rule Engine Design HintsRon Kaminski. 207-216
- Auditing the performance test plan to ensure useful resultsLuke E. Lofgren, Brian Emmons. 217-228
- Workload Modeling for Performance ManagementBaochuan Lu. 229-240
- Computing Missing Service Demand Parameters for Performance ModelsDaniel A. Menascé. 241-248
- Java Performance Measurement and AnalysisTuli Nivas. 249-260
- A Simalytic Approach to Modeling Virtualized EnvironmentsTim R. Norton. 261-266
- Agile Performance TestingAlexander Podelko. 267-278
- Experiences on Performance Test Simulation & PlanningShikhar Puri. 279-286
- Modeling/Sizing Techniques for Different Virtualization Strategies (a.k.a. One Size Doesn t Fit All)Debbie Sheetz. 287-300
- Predicting the Relative Performance of CPUDebbie Sheetz, Liying Song, Anatoliy Rikun. 301-308
- Applying Spectral Analysis to Identify Individual Application SignaturesGeorge Smirnov, Kenneth Hu, Dave Kaeli. 309-320
- Getting Software Performance from Your Contractors: Some Best Practices RevisitedConnie U. Smith. 321-330
- Software Performance Engineering for Oracle Applications: Measurements and ModelsConnie U. Smith, Cary V. Millsap. 331-342
- How to Handle CPU Bound Systems: A Spezialization of Dynamic Performance Stubs to CPU StubsPeter Trapp, Christian Facchi. 343-352
- Exception Based Modeling and ForecastingIgor A. Trubin. 353-364
- Pivot Tables/Charts -- Magic Beans without Living in a Fairy Tale.John S. Van Wagenen. 365-376
- So You Want to Manage Your z-Series MIPS? Then Detect & Control Application Workload Variance!John S. Van Wagenen. 377-388
- An Initial Study of a Process for Performance Evaluation on a Large-scale Commercial SystemJiang Zheng, K. Eric Harper, Brian P. Robinson. 389-398
- Forecasting Data Center Power Requirements: Tips from the TrenchesFrank Bereznay, Moses Chu. 399-410
- Visualizing Linux I/O Performance MetricsM. Edward Borasky. 411-422
- Introduction to HiperDispatch Management Mode with z10Donald R. Deese. 423-436
- Object, Measure Thyself: Performance Monitoring and Data Collection Michael Ducy, Matthew O Keefe, Stephen Mullins. 437-444
- SOA and Performance - Measuring Tangible Business ValueChidambaram Ganapathi, Madasamy T. 445-452
- Capacity Modeling and Planning in Virtual EnvironmentsAndrew Hillier. 453-464
- ESX Guest Capacity Determination using Guest Ready-Time Metric as an IndicatorTad Kellogg. 465-474
- Modeling the Performance of Virtual I/O ServerJie Lu. 475-484
- Green Data Center: A Case StudyChris Molloy, Ben Haber. 485-492
- Multidimensional Visualization of ORACLE Performance Using Barry007Tanel Poder, Neil J. Gunther. 493-502
- Bridging Numbers and DollarsSteven C. Seow. 503-506
- Green Capacity Planning: Theory and PracticeAmy C. Spellmann, Richard L. Gimarc, Charles Gimarc. 507-528
- Linux System Health Metrics and Data VisualizationKen A. Baker, M. Edward Borasky, Mary Karlins. 529-540
- Understanding the AIX Performance Data in a PowerVM PartitionPeter J. Weilnau. 541-554
- Application Scaling on CMT and Multicore SystemsRickey C. Weisner. 555-568
- A Predictive Model for SLA Risk ManagementJames P. Bouhana, Mike Tsykin. 569-580
- Technology Refresh Financial AnalysisPrentice O. Dees. 581-590
- Say Goodbye to Post-Mortems. Say Hello to Effective Problem Management and Increased Availability.Charles T. Foy. 591-600
- The One Percent Solution -- User Centricity and Application AvailabilityChris Greco. 601-608
- Performance and Capacity Management in an Outsourced EnvironmentJeff Hammond. 609-618
- Developing Quality Excellence in an ITSM OrganizationRavi Kaushik, Anil Wangoo. 619-626
- Using Business Growth Information in Capacity Planning ForecastsLinwood Merritt. 627-632
- The Visual Diagnostic Language (VDL)Nalini J. Elkins. 633-644
- A Simple, Efficient ICMP Based Method of Network Characterization M. K. Nambiar, Hemanta Kumar Kalita. 645-654
- A Reexamination of z/OS Storage TaxonomiesH. Pat Artis. 655-662
- Understanding the Performance and Management Implications of FICON/FCP Protocol IntermixStephen R. Guendert. 663-676
- HyperPAVs - Are They That Wonderful?Charles T. McGavin Jr.. 677-686
- Performance Characteristics of Enterprise Flash DrivesCharles T. McGavin Jr.. 687-696
- SATA and the Cheap RevolutionBruce McNutt. 697-704
- GraphRun: Visual Analysis of Performance Workload Metrics on a Storage ServerAmit P. Sawant, Phil Larson. 705-716
- Trending or Modeling for z/OS Systems - One, the Other, or Both? Gregory V. Caliri. 717-722
- On the Importance of I/O Parallelism, I/O Priority Structures and Partitioning in z/OS Environments Anthony G. Mungal. 723-736
- Roadmap to a Performance Database - How Building One Can Make You Look like a HeroBruce Perkinson, Nancy J. Perkinson. 737-748
- Mainstream NUMA and the TCP/IP stackMark B. Friedman. 749-761