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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.
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 Schwartz:
Techniques for Identifying and Optimizing Resource-Intensive Sql Server Queries.
683-694
- Jeffry 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
Copyright © Fri Nov 27 19:33:06 2009
by Michael Ley (ley@uni-trier.de)