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ORCID33. Int. CMG Conference 2007: San Diego, CA, USA
- 33rd International Computer Measurement Group Conference, December 2-7, 2007, San Diego, CA, USA, Proceedings. Computer Measurement Group 2007
- Michael Bitterman:
Methodologies for Selecting and Managing IT Performance Measures. 1-2 - Michael Bitterman:
Has the IT Benchmark Become Obsolete? 3-4 - James P. Bouhana, Mike Tsykin:
Objective Functions for SLA Risk Management. 5-14 - Gregory V. Caliri:
Future Big Iron Performance and Capacity Specialists - Where will they come from? 15-22 - Jane G. Fiala-Curry, Barbara L. Johnson:
Application View Reporting. 23-30 - Adam Grummitt:
Who Measures the Measurers? KPIs and QoS for the Capacity Management Process.. 31-32 - Malcolm Gunn:
UK CMG - Best Paper: Underneath the Spin; a Practical Look at Service Levels (Is what you see what you get?). 33-42 - James Holtman:
To Instrument or Not Instrument, That is the Question. 43-54 - Denise P. Kalm:
The Service-Oriented Organization - People, Politics & Pitfalls. 55-64 - Gerry W. Leitao:
Managing and Modernizing Legacy Applications. 65-76 - G. Jay Lipovich:
Using a CDB to Uplevel Your Performance Management and Planning Efforts. 77-80 - Mark M. Maccabee:
Performance of the Business of a Web Portal. 81-90 - Mazda T. Marvasti:
Everything You Know About Monitoring is Wrong. 91-102 - Tuli Nivas:
Generation of Test Schedules for Object Oriented Applications. 103-112 - Steven C. Seow:
The Experience of System Responsiveness. 113-118 - Mary Anne Smith:
Building a Capacity Management Team - Lessons Learned. 119-130 - Scott Barber:
Performance Testing: A Heuristic Approach. 131-132 - Andre B. Bondi:
Automating the Analysis of Load Test Results to Assess the Scalability and Stability of a Component-. 133-146 - Jeffrey P. Buzen:
Improving Simulation Accuracy through the use of Synthetic Alignment Intervals. 147-158 - Gaurav Caprihan:
End-to-End Post-Deployment Capacity Management Framework - An Approach. Int. CMG Conference 2007: 159-170 - Nick Chapman:
Help! Flow Control Issues for B2B Gateway Solved by Rapid Turnaround of Designs using Simulation. 171-182 - Paolo Cremonesi, Giuliano Casale:
How to Select Significant Workloads in Performance Models. 183-192 - Bruce Dawson:
Performance Optimization on Game Consoles. 193-196 - Carl J. De Pasquale:
ARM: Getting Started with Application Response Measurement (ARM) and Java the Easy Way. 197-218 - Yiping Ding:
Moore's Law vs. Gates' Law - Macro Capacity Management. 219-230 - Gerald S. Doyle, Elizabeth L. White:
Comparative Architecture Performance Analysis At Design Time. 231-242 - Pierre M. Fiorini, Yiping Ding:
Modeling the Performance Impact of Internet Marketing Campaigns on E-Commerce Sites. 243-252 - Mark B. Friedman:
The Art and Science of Measurement. 253-254 - Neil J. Gunther:
Capacity Planning Boot Camp. 255-256 - Vikas Gupta, Sachin Wagh:
A Quantitative Approach for Determining Service Demands in a Network Load Balanced Scenario. 257-262 - Joseph L. Hellerstein, Yixin Diao:
Engineering Performance Using Control Theory. 263-272 - Suresh K. Khemka, Nikhil Venugopal, Gaurav Caprihan:
An Approach for Accurately Recreating Web Workloads from Production Data. 273-274 - Luke E. Lofgren:
So I have Data on Each Transaction, How Do I Use It? 275-284 - Daniel A. Menascé:
An Empirical Evaluation of Communication and Processing Overhead in Service Oriented Architectures. 285-292 - Cary V. Millsap:
Why You Can't See Your Real Performance Problems. 293-302 - Tuli Nivas:
Using Simulation to Forecast Performance: A Case Study. 303-312 - Amit Patel:
Software Performance Lifecycle at a Large National Bank. 313-324 - Alexander Podelko:
Multiple Dimensions of Performance Requirements. 325-334 - Richard S. Ralston:
Using SAS/Graph to Display Performance and Capacity Data. 335-336 - Michael A. Salsburg:
Modeling and Forecasting. 337-338 - Dima Seliverstov, John Tavares, Tianxiang Zhang:
The Pros and Cons of Collecting Performance Data using Agentless technology. 339-348 - Connie U. Smith, Lloyd G. Williams:
Top 10 Ways to Kill an SPE Initiative. 349-350 - Megh Thakkar:
Performance Management - Top 10 Traps. 351-352 - Igor A. Trubin, Ray White:
System Management by Exception, Part Final. 353-360 - John S. Van Wagenen:
Performance Monitoring Process for Out of Standard Applications. 361-372 - Rickey C. Weisner:
Achieving near Linear Scalability Using Solaris on Numa Architectures. 373-384 - Ray Wicks:
Statistics for Performance Analysis & Capacity Planning. 385-386 - Lloyd G. Williams, Connie U. Smith:
Software Performance Engineering: A Tutorial Introduction. 387-398 - Yasuhiro Ajiro, Atsuhiro Tanaka:
Improving Packing Algorithms for Server Consolidation. 399-406 - Adrian N. Cockcroft:
Millicomputing: The Coolest Computers and the Flashiest Storage. 407-414 - Bernard Domanski, Robert J. Domanski:
Directing the Stream: Using Web 2.0 Technologies for Marketing and Performance. 415-426 - Adam Grummitt:
The Right Mix of Utility, Consolidation and Virtualization for Optimum Cost-Capacity-Performance. 427-428 - Dominique A. Heger:
Parallel File System Technologies in a Linux Cluster and GRID Environment. 429-442 - Mario F. Jauvin, Neil J. Gunther:
Seeing It All at Once with Barry. 443-458 - Peg McMahon, Justin Martin:
Death to Dashboards: Alarming, Performance Management Based on Variance, System Prioritization and Other Thoughts on Data Visualization. 459-462 - Chris L. Molloy:
The "Powerful" Capacity Manager. 463-470 - Tim R. Norton:
The Myth of Precision Planning: Understanding Capacity in an Age of Virtual Parallelism. 471-482 - John Paul:
VMWare ESX Server Workload Analysis: How to Determine Good Candidates for Virtualization. 483-484 - John Paul:
Adjusting the Fit: VMware ESX Server Workload Analysis Lessons Learned. 485-486 - Michael A. Salsburg:
Beyond the Hypervisor Hype. 487-496 - Boris E. Zibitsker:
Enterprise Data Management Optimization. 497-498 - David Carter:
An Open Source ARM 4 Implementation. 499-502 - Adrian N. Cockcroft:
Unix/Linux CMG Quick Start Course. 503-504 - Peter Johnson:
Monitoring and Tuning Open Source Databases. 505-518 - Peter Johnson:
Java Performance Analysis 401. 519-526 - Craig A. Leikis:
Consolidated Capacity and Performance Reporting. 527-534 - James W. McGalliard, Carrie Spear:
A Queue Simulation Tool for a High Performance Scientific Computing Center. 535-546 - Barton Robinson:
Configuring Linux on z/VM for Performance. 547-548 - Ankur Chadda:
The Promise of Network High Availability Systems - How to Properly Measure Convergence Times. 549-554 - Nalini J. Elkins:
Introduction to TCP/IP Performance Management. 555-556 - Major Lai:
Your OSPF Network is BAD! 557-558 - Pieter J. Meulenhoff:
Fighting Against Spam: The ETIS Anti-spam Pilot Project. 559-568 - Hon Wong:
Collecting Actionable Information to Effectively Manage Web Application Performance. 569-580 - John Baker:
The What If's of Storage Capacity Planning. 581-582 - Tom Clark:
New Developments in Storage Network Protocols. 583-592 - Prabu Dorairaj, Devi Prasad Bhukya, Lakshminarayana Prasad Kantam:
Performance Tuning of Storage System using Design of Experiments. 593-602 - Rich Milner, John Gatch:
Disk Storage Performance Warranties: Why and Why Not? 603-604 - Lee Reiersgord, John Gatch:
Mainframe Disk Performance Modeling and Open Systems Applicability. 605-606 - William T. Gray:
A Queueing Analysis of Selected Performance Issues with Virtual Tape and Robotics. 607-616 - Stephen R. Guendert:
To CUP, or not to CUP, that is the FICON question! 617-618 - Stephen R. Guendert:
Understanding the Performance Implications of Buffer to Buffer Credit Starvation In a FICON Environment. 619-628 - Randy Kerns:
Performance Considerations for Archiving Data. 629-640 - Charles T. McGavin Jr.:
Storage Performance Analysis - Drill-Down Case Study. 641-652 - Wedson Almeida Filho, Ricky Buch, Insung Park:
A New Way to Expose Performance Counters on Windows Vista. 653-662 - Jie Lu, Tianxiang Zhang:
Understand the Performance Measures of MS Virtual Server. 663-672 - Vishal Radhakrishnan, Aaron Spinks, Insung Park:
Intelligent Aggregation of System Health Data for Managing Large IT Environments. 673-682 - Jeffry A. Schwartz:
Techniques for Identifying and Optimizing Resource-Intensive Sql Server Queries. 683-694 - Jeffry A. Schwartz:
Windows System Performance Measurement and Analysis. 695-696 - Hon Wong:
Optimize .NET & J2EE Application Performance Using Browser-to-Database Monitoring and Diagnostics. 697-708 - Clea Zolotow, Elaine Zizzi:
Modeling Virtualized LPARs using Coadunation. 709-710 - Glenn R. Anderson:
A z/OS WLM Update for DB2 Environments. 711-712 - Glenn R. Anderson:
A z/OS WLM Guy Discovers Enterprise Workload Manager (EWLM). 713-714 - Glenn R. Anderson:
Introduction to z/OS Monitoring, Tuning, and the Workload Manager. 715-716 - Ned A. Diehl:
Evolving DB2 CPU and Response Metrics. 717-730 - Peter A. Enrico:
zIIPS and zAAPs - Understanding Transaction Flows and CPU Measurements. 731-732 - Wolfram Greis:
CE CMG - Best Paper: J2EE & Mainframes - When Quality Matters. 733-734 - Thomas A. Halinski, Eric Repec:
E2E Performance Monitoring to the Mth Tier (Mainframe Integrated) - The New Industry Standard. 735-736 - Jim Horne:
The Myth Of MSU or How Big is the Bucket? 737-746 - William R. Miller:
Reclaim your Performance with DB2 v8. 747-752 - Rich Olcott:
Taming the Wild Service Definition. 753-754 - Bill Yeager:
The Hidden Cost of TCP/IP on z/OS. 755-760
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