Best Paper Award Winners

Best Paper Award Winners

Each year, conference papers judged exemplary by industry peers receive these conference honors. These papers reflect the best of the best offered at the conference.

List of Best Paper Winners

2017

• Achieving CPU (& MLC) Savings through Optimizing Processor CacheTodd Havenost  This paper introduces key processor cache concepts and metrics, laying the foundation for understanding the vital role processor cache plays in CPU consumption. Those metrics are then leveraged to identify specific ways to improve processor cache efficiency by optimizing LPAR topology and maximizing work executing on Vertical High CPs. Throughout the paper, Todd uses several examples from real-life situations to illustrate both the opportunities and the potential impacts of tuning actions.

2016

• Analyzing SSD/Flash Performance in High-End Storage Cor Meenderinck

2015

• Lessons from Capacity Planning a Java Enterprise Application: How to Keep Capacity Predictions onStefano Doni

2014

• Entropy-Based Anomaly Detection for SAP z/OS Systems
  Tim Browning
• Dynamic Derivation of Analytical Performance Models in Autonomic Computing
  Environments
  Mahmoud Awad and Dr. Daniel A. Menasce

2013

• A Performance Model for Core System Monitoring Functions
  Kevin Mitchell and Daniel Menasce
• Some Workload Scheduling Alternatives in a High Performance Computing Environment
  James MacGalliard

2012

• Better Information from Better Data Visualization
  Nicole Arksey and Scott Chapman

2011

• The Penguins Have Landed: Getting Started with Linux on System z
  Michael Giglio
• Help Developers (Finally) Find Their Own Performance Defects
  Erik Ostermueller

2010

• How to Build Tabular Dashboards Using Proc Report
  Shana Bereznay, Raff Rushton and Frank Bereznay

2009

• Survival Analysis In Computer Performance Analysis
  Brian Barnett, Perry Gibson, and Frank Bereznay
• Modeling Virtualized Environments in Simalytic Models by Computing Missing Service Demand Parameters
  Tim R. Norton
• Leveraging The Cloud For Green IT: Predicting the Energy, Cost and Performance of Cloud Computing
  Amy Spellman, Richard Gimarc, and Mark Preston

2008

• Scaling Strategies and Tactics – The Strategy: Specialization, Distribution or Both?
  Richard Campbell
• Say Goodbye to Post-Mortems. Say Hello to Effective Problem Management and Increased Availability
  Charles T. Foy
• 10 Ways to Slow Down Your JAVA Applications
  Peter Johnson
• A Kalm Approach to Capacity Planning – Road Rules
  Denise P. Kalm

2007

• Improving Packing Algorithms for Server Consolidation
  Yasuhiro Ajiro
• A Queue Simulation Tool for a High Performance Scientific Computing Center
  James W. McGalliard, Carrie Spear

2006

• Did Something Change? Using Statistical Techniques to Interpret Service and Resource Metrics
  Frank Bereznay
• A Tutorial on SIP Application Server Performance and Benchmarking
  Curtis Hrischuk
• Use Trending to Manage Application and System Performance
  Bruce Perkinson

2005

• ITIL Capacity Management Deep Dive
  Chris Molloy
• DB2 CPU and Response Metrics
  Ned Diehl

2004

• An Analytic Model for Predicting the Performance of SOA-Based Enterprise Software Applications
  Henry H. Liu
• A Performance Process Maturity Model
  Michael D. Maddox
• A Drag on Performance – Shared Disk in a Distributed Storage Environment
  Dr Rich Olcott
• Implementing an Evaluation Architecture for Web Proxies
  Baoning Wu

2003

• Getting WLM to Work for You
  Ian Baldwin – Workload Manager Phase III
• Time Stable Workload Characterization Techniques
  Ron Kaminski
• Performance Modeling and Evaluation of Large-Scale J2EE Applications
  Samuel Kounev and Alejandro Buchmann
• Zen and the Art of Application Performance Management
  Craig Hodgins

2002

• Exploring WLM’s Solution Space
  Rich Olcott – The Dimensions of Service
• Global and Application Level Exception Detection System, Based on MASF Technique
  Igor Trubin
• A benchmark like BEST-1
  Brian Smith

2001

• Slower Than a Dead Snail? – An Oracle & UNIX Tuning Case-Study
  Tim Foxon
• Experience of Characterization of Typical Multi-Tier e-Business System Using Operational Analysis
  Deep Buch
• Designing and Sizing Large e-Commerce Web Sites
  Burzen Patel

2000

• Exploiting Web Publishing Technology to Enhance Performance Reporting
  Claude Aron
• Modeling Physical Tape Capacity in a Virtual Tape Server
  Paul D. Nigro

1999

• The Capacity Performance Council, Start Yours Today!
  Bob Chaney
• Measurement and Modeling of Disk Subsystem Performance
  Jozo J. Dujmovic, Daniel Tomasevic, and Ming Au-Yeung
• Reducing the Batch Window to Start Euro Processing
  Neil McMenemy
• The Use of Life Expectancy to Manage Notes Domino Email Storage
  William G. Pope and Lily Mummert
• Capacity Planning for MS Exchange Applications
  Saqib N. Syed, Yefim Somin, and Divya Prakash

1997

• Performance Modeling of a Unix Communications Server
  A. Menasce, K. Nguyen and D. Nguyen

1996

• Understanding The Multiprocessor Effect: How to Stack the Deck-Discretely
  Neil J. Gunther
• A Manager’s Framework for Enterprise Resource Management
  George Thompson
• Measurement and Analysis of Workload CPU time in UNIX Environments
  Subhash Agrawal, Kenneth Newman, Yefim Somin, and Michael Forsyth
• So Now Who’s Responsible for the Phone Data? And What’s Next?
  Carl E. Sommer and Tim Rowles
• Fractal Patterns in DASD I/O Traffic
  David L. Peterson and David B. Adams
• Analyzing, Tuning, and Planning For Hybrid Tape Subsystems
  William T. Gray
• The Future Looks Bright for DIM
  Mark B. Friedman and Bob Shannon

1995

• Analysis of Disk Workloads in Network File Server Environments
  John R. Heath and Stephen A. R. Houser
• Clock Instability And Its Effect On Time Intervals In Performance Studies
  Margaret A. Dietz, Carla S. Ellis, and C. Frank Starmer
• Central Processor Life Extension Or Expectation Management 101
  Gene Clem
• Preemptible SRBs: Understanding, Exploiting, And Managing Them
  John E. Arwe
• Computers Don’t Sweat Or Performance Metrics In The Distributed Computing Environment
  James P. Quigley
• Using The World Wide Web As An Executive Information System
  Larry Kayser
• Parallel Transaction Server Model: A Case Study
  Tim Follen