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CMG National

SCMG Meeting Raleigh
October 18, 2005

Location:

SAS Institute Inc.
100 SAS Campus Drive
Cary, NC 27513

 


Agenda:

Time Session Presenter
8:00 – 8:45
Registration and Continental Breakfast
SAS Institute
8:45 - 9:35
Capacity Management and evolving automation opportunities
Ann Dowling
9:45 - 10:35 Data Center Markup Language Chris Molloy
10:35 - 11:00 Break  
11:00 - 11:50 Introduction to Simple Network Management Protocol (SNMP) Version 3 Laura Knapp
12:00 - 1:30
Lunch
SAS Institute
12:15 - 1:00
Vendor Presentation SAS Institute
1:00 - 1:30 SAS Campus tour SAS Institute
1:30 - 2:15
Capacity and Performance Free-For-All  
2:25 - 3:15
Closing the Gaps - Understanding Capacity Summarization Lin Merritt
3:25 - 4:15
Capacity Sizing and Performance Engineering of the Mobile Enterprise Curtis Hrischuk
4:15 - 4:30 Concluding Remarks and Giveaways  

Speakers:

Chris Molloy
Chris Molloy is a Distinguished Engineer at IBM, where he works in their Global Services division. With over 20 years of IT experience, Chris focuses on systems management for multi-national multi-million dollar outsourcing contracts. He is a frequent speaker at CMG, and holds a patent for some of his work in performance management and capacity planning.

Linwood Merritt
Bank of America
Lin started his data processing career in 1970 as a Simulation Analyst and has been a US CMG member since 1984. He is the Project Manager of the "Enterprise Wide Capacity and Performance" project of SHARE, Regional Chair of Southern CMG, and Program Chair for CMG 2005.

Lin has published 16 CMG papers (plus one additional paper for UKCMG 2003) and presented at 28 SHARE conferences. He won the CMG97 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.

Curtis Hrischuk
WAS Mobile Enterprise, IBM Software Group
Curtis has been a performance engineer for 15 years, also functioning as a software engineer/architect as well. He is currently the Lead Performance Engineer for several mobile enterprise IBM products: mobile VPN product for PDA / cell phone / laptop / desktop, Personal Information Manager (PIM) synchronization, MQ and DB2 for mobile devices, a portal designed for mobile devices, and a J2EE framework for mobile devices. His responsibilities involve performance requirements, measurements, analysis, and capacity sizing processes. He has received his M.Eng. (1995) and Ph.D. (1998) in performance area from Carleton University, Ottawa, Canada.

Abstracts:

Data Center Markup Language
Chris Molloy, IBM
As labor costs continue to rise, IT environments are installing automation to convert labor based tasks. There are heterogeneous niche products that have been proven very effective. The Data Center Markup Language (DCML) standard has been proposed by a consortium of companies to allow one to codify the current state of an IT environment, and provide a metalanguage for defining the policies for how that environment should be run. This paper discusses DCML, and takes a look at how performance information can be defined in a common format so that disparate products may use the information.

Closing the Gaps - Understanding Capacity Summarization
Presenter: Linwood Merritt, Bank of America
One of the first steps in the capacity planning process is the summarization of capacity/performance data. This activity aggregates detailed event-level data into a manageable amount of workloads and intervals. Interval data can be summarized into average, peak or percentile figures. This paper discusses summarization techniques and intervals, and the gaps between results from different choices of each.

Capacity Sizing and Performance Engineering of the Mobile Enterprise
Curtis Hrischuk, IBM
The mobile enterprise is here and it introduces new technology that extends the edge of the enterprise network. It also adds new performance engineering issues and concerns. The performance characteristics of a mobile device (i.e, smart cell phones and PDA’s) differ from similar devices (i.e., tablet PC) in radical ways because of CPU, memory, and battery constraints. The software infrastructure (e.g., Java Virtual Machine) and applications use technologies whose performance implications are only beginning to be examined. As well as operating in an on-line, connected mode, mobile application’s operate in a disconnected mode that use an underlying, bi-directional synchronization to maintain consistency with the mobile data store and the enterprise data store. The communication mediums vary from minute to minute, ranging from: low to high speed, reliable to sporadic, etc. Capacity sizing for these class of systems is challenging because the workloads are different than conventional transactional systems. This workshop presents lesson learned in the performance engineering and capacity sizing of mobile enterprise middleware and applications. Background information about mobile technology is also presented.


Sponsors:

SAS Institute
SAS IT Management Solutions let you go beyond traditional IT performance management and leverage the full potential of each IT resource across the enterprise. SAS IT Management Solutions provide integrated and intuitive products for IT management across the enterprise, sophisticated analytical reporting and data visualization and reliable information on IT usage, resources, services and costs.