Table of Contents

• Measuring and projecting power for high densityThomas E. Bell. 1-12
• Achieving business agility with SOA: Governance and SLA management of shared service ecosystemsJeffrey P. Buzen, Annie W. Shum. 13-26
• Performance reporting in the 21st century - changes in scope and directionGregory V. Caliri. 27-34
• The ABCs (or should I say, CASs) of I/T chargebackRobert E. Chaney. 35-44
• Adding value to performance management with business metricsScott A. Chapman. 45-52
• An implementation of a business metrics databaseScott A. Chapman. 53-64
• ITIL capacity management: More than charts over coffeeRich Fronheiser. 65-74
• Monitoring, availability, and . . . maslow?!Chris Greco. 75-84
• A methodology for determining response time baselinesCharles Hoover. 85-94
• The minimum daily adult - the right metrics and the wrong metricsDenise P. Kalm. 95-104
• Transaction processing using J2EE application: Performance with tens of millions of usersMark M. Maccabee. 105-114
• Accountability for system performanceCary V. Millsap. 115-122
• What performance and capacity management people need to know about financeChris L. Molloy. 123-130
• The future of peformance management and capacity planningChris L. Molloy. 131-136
• Virtualization - inhibitors to server and storage virtualization, and how to mitigate themChris L. Molloy. 137-142
• Application of supply chain mechanisms to an on demand operating environmentSam Nokes, Dave Cohen. 143-154
• ARM-based performance monitoring for the eclipse platformAshish Patel. 155-166
• A technology cost model for server infrastructure managementRussell A. Rogers. 167-174
• Managing financial systems: The peak experienceJon E. Schmidt. 175-180
• Managing SOX compliance in the age of SOAHugh B. Taylor. 181-186
• System management by exception, part 6Igor A. Trubin. 187-196
• Arming the enterpriseJohn Yennie, Oliver E. Cole, Steve M. Sturtevant. 197-204
• Build a home computer lab, change your life and save the earthRobert D. Andresen. 205-212
• A nifty little technique for finding the trancodes that caused a performance problemsDick L. Arnold. 213-218
• The bottleneck cycleDenise T. Arruda. 219-228
• Did something change? using statistical techniques to interpret service and resource metricsFrank M. Bereznay. 229-242
• Active baselining in passive data environmentsJames P. Bouhana, Mike Tsykin. 243-250
• An internet business capacity model - more tiers, less tears!Todd R. Bourne, Mike Moroz, Theo Adis. 251-260
• Traffic capacity testing a web environment with transaction based toolsJames F. Brady. 261-270
• New perspectives on benchmarking, modeling and monte carlo simulation: operational analysis 2.0Jeffrey P. Buzen. 271-282
• The straight capacity lineLinda J. Carroll. 283-292
• Measuring DDF capacity and performanceRobert E. Chaney. 293-304
• Forecasting and modeling: A partnership to predict and prevent capacity bottlenecksMargaret A. Churchill, Martha S. Hays. 305-316
• CMG Italy - best paper: AIX micro-partitioningMark Cohen. 317-328
• Citrix benchmarksFlorin David. 329-334
• Creating a software performance engineering team - lessons learnedGregory Dawe. 335-340
• Using native data and automation to perform rapid triage and reportingJeff Doubleday. 341-348
• Apriori evaluation of data and selection of forecasting modelAlex Gilgur, Mike Perka, Bill Fuller. 349-358
• Quantitative techniques to improve your application profileRichard L. Gimarc. 359-372
• Six sensible steps towards implementing ITIL capacity managementAdam Grummitt. 373-384
• A practical approach to a processor migration capacity analysisRobert Hamilton. 385-390
• Bringing ITIL=AE to life: Automating IT capacity managementMartha S. Hays. 391-402
• A cohesive framework to quantify computer systems assuranceDominique A. Heger, Phil A. Carinhas. 403-410
• Back of the envelope, rules of thumb and little=92s lawJames Holtman. 411-420
• The LOWE down on capacity planningJim Horne. 421-428
• The myth of memory utilization on midrange systemsBrian Johnson. 429-436
• Java performance analysis 301Peter Johnson. 437-448
• Getting to know your production response timeCharles A. Letner. 449-456
• Applying queuing theory to optimizing the performance of enterprise software applicationsHenry H. Liu. 457-468
• Performance signatures: A qualitative approach to dependency guidanceRico Mariani. 469-474
• Analytic performance models for single class and multiple class multithreaded software serversDaniel A. Menascé, Mohamed N. Bennani. 475-482
• Case study of modeling performance in a politically charged environmentCarol M. Petroski. 483-488
• Load testing: Points to ponderAlexander Podelko. 489-494
• Encouraging wider use of performance metrics through web technologiesTodd Schmitter. 495-506
• Five steps to establish software performance engineeringConnie U. Smith, Lloyd G. Williams. 507-516
• The roadmap for full lifecycle performance engineeringAmy C. Spellmann, Richard L. Gimarc, Christopher Lee. 517-528
• Approach to build performance model for a web-based system from its application server logsSuhas Sudheendra, Mitesh Patel, Pratik Kumar. 529-536
• Experiances of using LQN and QPN tools for performance modelling of a J2EE applicationNidhi Tiwari, Prabhakar Mynampati. 537-548
• Security and compliance incident responseDipto Chakravarty, John Melvin Antony. 549-556
• Utilization is virtually useless as a metric!Adrian N. Cockcroft. 557-562
• On the number of partitionsYiping Ding. 563-574
• Ever feel as if the world is passing you by? wanna catch up fast?Bernard Domanski, Robert J. Domanski. 575-586
• The virtualization spectrum from hyperthreads to GRIDsNeil J. Gunther. 587-602
• Grid technology - vision, architecture, and node capacity considerationsDominique A. Heger, Phillip Carinhas, Greg Simco. 603-612
• ITIL vs. agile programming: Is the agile programming discipline compatible with the ITIL framework?Charles Hoover. 613-620
• Measuring and modeling the performance of the Xen VMMJie Lu, Lev Makhlis, Jianjiun R. Chen. 621-628
• Real world adventures in server virtualizationStephen Marksamer, Peter J. Weilnau. 629-640
• Targeted capacity planning: Delivering a business focussed, cost effective serviceRod Parsons. 641-656
• Optimization with service level objectives in virtual environmentAnatoliy Rikun, Yiping Ding. 657-668
• Performance tuning and resource management in Java applicationsRobert E. Ritchie. 669-674
• It may be virtual, ... but the overhead isn tMichael A. Salsburg, Peter Karnazes, William Maimone. 675-686
• The well-managed web serviceHerb Van Hook. 687-692
• Achieving practical network application impact and response time projectionsJames H. Baxter. 693-702
• Identifying network failures and evaluating link MTBF from utilization logsPaolo Cremonesi, Giuliano Casale, Stefano Visconti. 703-710
• Evaluation and comparison of search engines using the LSP methodJozo J. Dujmovic, Haishi Bai. 711-722
• Ten commandments of TCP/IP performanceNalini J. Elkins. 723-728
• A tutorial on SIP application server performance and benchmarkingCurtis E. Hrischuk. 729-740
• Instrumentation and analysis of web transactions in a large multi-tier banking services applicationMark W. Johnson, Bret Patterson. 741-750
• 10 steps to securing your web applicationsPeter Johnson. 751-760
• Softswitch testingGarland Kan. 761-766
• Measurement of transaction-based end-to-end response time in un-armed environmentsMike Tsykin, James P. Bouhana, Christofer D. Langshaw. 767-778
• Workload characterization algorithms for remote copyH. Pat Artis. 779-788
• Understanding the performance implications of MIDAWsH. Pat Artis. 789-796
• Database backups using virtual tape volumesKathleen N. Hodge. 797-810
• Bertha: A benchmark tool for high-performance storage subsystemsJohn Lenehan, Dave Wagoner, Lewis Myers. 811-818
• Cache management of competing I/O workloadsBruce McNutt. 819-824
• Remote copy 100 km testingBruce McNutt. 825-838
• Forecasting database disk space requirements: A poor man s approachEdward L. Tretel. 839-848
• Can you afford low cost storage?James A. Yaple, Greg Lee, James Barton. 849-856
• Benchmarking storage subsystems at home using SPC toolsJames A. Yaple, James Barton. 857-866
• Capacity planning by simulating UNIX serversUriel J. Carrasquilla. 867-878
• Out-of-the-box performance of OLTP on high-end servers - a comparison of file systems and configurationTimothy P. Cook. 879-888
• AIX system performance experiences and basic tuningIrvin G. Eiceman. 889-896
• The need for speed: Simple tested techniques to beef up performance of your solaris/oracle databasePeg McMahon, Bob Sneed. 897-906
• The reality of virtualization for windows serversMark B. Friedman. 907-918
• Core system event analysis on windows vistaInsung Park. 919-932
• Utilizing performance monitor counters to effectively guide windows and SQL server tuning effortsJeffry A. Schwartz. 933-944
• Measurement and modeling of DB2 zIIP workloadsNed A. Diehl. 945-956
• Designing and managing FICON inter-switch link infrastructuresStephen R. Guendert, H. Pat Artis. 957-966
• CICS open transaction environment and other TCB performance considerationsSteven R. Hackenberg. 967-974
• The effect of distribution and correlation statistics on the DB2 optimizerTom Moulder. 975-982
• Dials for an PM dashboard: Velocity=92s missing twin, and quantifying surpriseRich Olcott. 983-994
• Use trending to manage application and system performanceBruce Perkinson. 995-1006
• A performance analyst=92s guide to the RMF type 70 recordWilliam L. Shelden Jr.. 1007-1018
• Effect of parallel access volumes (PAV) technology on z/VM guest disk I/O performanceBrian K. Wade. 1019-1030