SCMG Meeting Raleigh
October 17 , 2008

Location:

Agenda:

Speakers:

Igor Trubin
Igor started his career in 1979 as an IBM 360/370 system engineer. In 1986 he got his Ph.D. in Robotics at St. Petersburg Technical University ( Russia ) and then worked as a professor teaching CAD/CAM, Robotics and Computer Science for about 12 years at the same University. Igor has published about 30 papers and made several presentations for different international conferences related to the Robotics, Artificial Intelligent and Computer fields. In 1999 he moved to the US and worked at Capital One Services, Inc. in Richmond as a Capacity Planner. His first CMG paper was written and presented by him in 2001 in Reno , NV . The next one, "Global and Application Level Exception Detection System Based on MASF Technique," won a Best Paper award at US CMG 2002 and was presented again at UKCMG 2003 in Oxford , England . His CMG 2004 paper about applying MASF technique to mainframe performance management was republished in the IBM z/Series Expo. Igor continues to enhance his exception detection methodologies, and currently works at SunTrust in Richmond, Virginia.

Linwood Merritt
Lin started his data processing career in 1970 as a Simulation Analyst and has been a US CMG member since 1984. He has served as Subject Area Chair, Assistant Program Chair and Program Chair for CMG and served as Project Manager of the "Enterprise Wide Capacity and Performance" project of SHARE for 11 years. Lin is currently Regional Chair of Southern CMG and a Subject Area Chair for CMG 2008.
Lin has published 19 CMG papers and presented at 30 SHARE conferences. He won the CMG 1997 Mullen award for the presentation "Performance Data from the Server to the Intranet: Getting the Data and Reporting It," and presented it at UKCMG in 1998. He is now working as a mainframe Capacity Planner at Bank of America in Richmond, Virginia.

Abstracts:

Exception Based Modeling and Forecasting
Igor Trubin, SunTrust Banks, Inc.
How often does the need arise for modeling and forecasting? Should it be done manually by ad-hoc, by project requests or automatically? What tools and techniques are best for that? When is a trending forecast enough and when is a correlation with business drivers required? The answers to these questions are presented in this paper. The capacity management system should automatically provide a small list of resources that need to be modeled or forecasted; a simple spreadsheet tool can be used for that. This method is already implemented on the author's environment with thousands of servers. (Presentation)

Data De-Duplication of Backups for UNIX, Linux, Windows, and VMware Servers
Roger Schnurman, Technical Business Consultant, BackUp Recovery and Archive, EMC
Data De-Duplication of backups for UNIX, Linux, Windows, and VMware servers is a hot topic for today's backup teams. With the significant reduction of backup data, the ability to retain backups for much longer and the ability to move backups off-site without physical tape over lower capacity WANs can have a dramatic effect on an organizations costs for data retention and recovery. EMC will discuss approaches to Data De-Duplication and some methods and tools to estimate the effectiveness of these technologies with your data.

Green Data Center: A Case Study
Chris Molloy, IBM
Data centers are becoming more constrained and it's time for the capacity manager to step up to the forefront and help out.  This case study analyzes one such data center.  It describes a five step approach to mitigating data center constraints, delaying a costly data center upgrade and data center relocation.  Best practices will be described, including data center level metrics in the industry, and recent governmental work in the data center metrics.  

Using Business Growth Information in Capacity Planning Forecasts
Lin Merritt, Bank of America
The identification of business driver information is an early step in its use for capacity planning. The information may be in the form of business metrics and affected IT resources or a compilation of growth rates. This paper discusses techniques for the combination of trending forecast techniques with business information, issues around the identification and use of business growth information, and approaches to integrate business forecasting with capacity forecasting. (Presentation)

Sponsors:

	EMC stores, protects, optimizes, and leverages information with the aim of contributing to their clients' success.