Table of Contents

• Case Study: Software Performance Engineering (SPE) Techniques for Certifying Support PortalRobert Jahn. [doi]
• Late Breaking: A Note on Knee DetectionJosef Ferrandiz, Alex Gilgur. [doi]
• Late Breaking: Level of Service Based Capacity SizingJosef Ferrandiz, Alex Gilgur. [doi]
• Virtualization and Capacity and Performance Management TechniquesRon Kaminski. [doi]
• Using Capacity Modeling to Support Server Consolidation: A Case StudyRichard L. Gimarc, Byron Dorman. [doi]
• Performance Engineering a Web 2.0 Application in an Agile WorldMohit Verma. [doi]
• Converting From SAS/GRAPH(r) to ODS GraphicsJim Horne. [doi]
• The APM ChallengeAndrea L. Glaser. [doi]
• CMG-T: Model and Forecasting Basics: Modeling and Forecasting BasicsMichael A. Salsburg. [doi]
• CMG-T: Getting Started in (z/OS) Capacity PlanningRay Wicks. [doi]
• Late BreakingCross-Platform Application Performance Management Implementation on zEnterprise HybridGlenn R. Anderson. [doi]
• Taking a trip down VMware vSphere Memory LaneJamie Baker. [doi]
• Fear and Loathing in Automation-Land - Capacity and Performance in the 21st CenturyDenise P. Kalm. [doi]
• What Does CMG Want to be when it Grows Up, Now its Fourth Age is Underway?Adam Grummitt. [doi]
• Building Calendars with Proc ReportFrank M. Bereznay, Raff Rushton. [doi]
• Mythbuster for The GuerillasJayanta Choudhury. [doi]
• AIX frame and LPAR level Capacity Planning. User Case for Online ApplicationIgor A. Trubin. [doi]
• Storm Chasing - Troubleshooting in the CloudStanford E. White III. [doi]
• Load Testing: See a Bigger PictureAlexander Podelko. [doi]
• Big Transaction Data - Accelerating Business GrowthMike Hammond. [doi]
• Time-Series: Forecasting and Regression: 'And' or 'Or'?Alex Gilgur, Josep Ferrandiz, Matthew Beason. [doi]
• 0 to 100 - The Supply Chain of Business ChangeArvind Raman, Aswin Kumar. [doi]
• CMG-T z/OS Tuning Basics (Part 3): Exploring the World of zEnterprise Hybrid, Blades, and the zManagerGlenn R. Anderson. [doi]
• Better Information from Better Data VisualizationNicole Arksey, Scott A. Chapman. [doi]
• Driving Capacity Management up the 'Value' ChainRamapantula Udaya Shankar. [doi]
• Social Media for the Performance Professional - or Why Blog and Tweet and How Not to get in TroubleElisabeth Stahl. [doi]
• Green IT Based Performance Measurement and TuningVaibhav Bhatia, Mitesh Desai, Arvind Raman. [doi]
• Choice of Critical Flows : Enable Effective Risk Based TestingAbhijit Ranjekar. [doi]
• Risk Economics: How Quantifying Operational Risk Leads to Better IT InvestmentsDennis C. Wenk. [doi]
• IT Asset Management in Today's Changing EnvironmentJeff Ebbrecht. [doi]
• Webhosting in the Cloud. Cheaper and SmarterPeter van Eijk. [doi]
• Connecting the Dots - Business Unit Drivers for z/OS Capacity PlanningGregory V. Caliri. [doi]
• Capacity Planning and Performance Software Procurement StrategiesDavid G. Halbig. [doi]
• SEDS-Lite: Using Open Source Tools (R, BIRT, MySQL) to Report and Analyze Performance DataIgor A. Trubin. [doi]
• Keynote Session: Web Performance, The Big PicturePatrick Meenan. [doi]
• A More Robust Regression Methodology to Estimate the Parameters of Super-serial Scalability LawJayanta Choudhury. [doi]
• Application Invariants: Finding Constants Amidst All the ChangeRichard L. Gimarc, Adrian Johnson. [doi]
• Performance Requirements: the Backbone of the Performance Engineering ProcessAlexander Podelko. [doi]
• CMG-T: Getting Started in (z/OS) Capacity PlanningRay Wicks. [doi]
• SSDs as a type of Cache MemoryBruce McNutt, Lee LaFrese. [doi]
• Implementing Capacity Management According to ISO20000 StandardsWill Otten. [doi]
• Significance of Replacement Queue in Sequential PrefetchingElizabeth Varki. [doi]
• Late Breaking: Understanding, Exploiting, and Enjoying the Latest z/OS Performance Management CapabilitiesGlenn R. Anderson. [doi]
• CMG-T: CMG-T z/OS Tuning Basics (Part 1): Understanding Your WLM Service PolicyGlenn R. Anderson. [doi]
• A Notification Management Framework Integrating ITIL Processes and Network MonitoringLilian Nassif, Daniel Carnevalli, Frederico Passos. [doi]
• Becoming an IntrapreneurDenise P. Kalm. [doi]
• Queuing Network Models to Predict the Completion Time of the Map Phase of MapReduce JobsDaniel A. Menascé, Shouvik Bardhan. [doi]
• Best Inhouse Techniques to Optimize Memory FootprintTejaswini Rentala, Muruganadam Somasundaram, Venkata Krishna Bezawada. [doi]
• Introduction into Enterprise Applications Capacity Planning Using Queuing ModelsLeonid Grinshpan. [doi]
• CMG-T: Java Performance Analysis and TuningPeter Johnson. [doi]
• Software Performance Antipatterns for Identifying and Correcting Performance ProblemsConnie U. Smith, Lloyd G. Williams. [doi]
• Hybrid Performance Modeling using Layered Queueing NetworksGreg Franks, Lianhua Li. [doi]
• Late Breaking: Don't Let the Cloud Fog Your Mind: An Update for the Mainframe SysprogGlenn R. Anderson. [doi]
• Batches in Bunches: Finding the Critical Path of Large Batch WindowsChris Papineau. [doi]
• Quantitative Evaluation of SPEC Component-Level BenchmarksJozo Dujmovic, Wilson Kwok. [doi]
• Introduction to Wavelets and their Application for Computer Performance Trend and Anomaly DetectionDima Seliverstov. [doi]
• Follow The Evidence' - Web Application Performance InvestigationsJack Woolley Jr.. [doi]
• Late Breaking: vSphere vs. Hyper-VDale Feiste. [doi]
• Utilizing Benchmarks in Performance Models - Varying Software/Hardware Platforms Case StudyNidhi Tiwari, T. S. Harish Kashyap. [doi]
• Real World Enterprise Workload Modeling- How Much of a Representation is Really Enough?Priyanka Arora. [doi]
• Towards Processing Capacity Prediction for the Cloud: Theoretical ModelsAndré Cesta, Geraldo Silva, Mauro Storch. [doi]
• Measuring the Visual Experience of Website PerformancePatrick Meenan. [doi]
• Practical SPE in a Challenging World. Bringing Value to Companies, Customers and OurselvesEnrico Ottolini. [doi]
• Performance Prediction Using Minimal Testing and Parallel Characteristics of a ProgramAmol Khanapurkar, Mohit Nanda, Suresh B. Malan. [doi]
• Top 10 Mantras for a CDE (Catalog Driven Engagement) Model for IT Service ManagementArvind Raman, Thothathri V. [doi]
• Performance Prediction for Processors and External ResourcesAndré Cesta, Geraldo Silva, Mauro Storch. [doi]
• When Load Testing Large User Population Web Applications The Devil Is In the (Virtual) User DetailsJames F. Brady. [doi]
• Performance Implications of Big DataYiping Ding. [doi]
• Improve Performance Testing by Employing the Scientific MethodLarry E. Watson, Coburn Watson. [doi]
• CMG-T z/OS Tuning Basics (Part 2): Analyzing Key RMF Performance DataGlenn R. Anderson. [doi]
• Virtual Memory Subsystem Performance: Benchmarking and a Case StudyManoj K. Nambiar. [doi]