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Saint Louis Computer Measurement Group STLCMG: February 2010 |
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February
23, 2010 Agenda 8:30 9:00
Registration, Continental Breakfast, and Networking 9:00 9:15
Welcome and Introductions Ben Geolat
Presented by Debbie Sheetz
of BMC Software
10:25 11:25
Show & Tell Wells Fargo Capacity Management
Presented by Karl Steger of
Wells Fargo 11:30 12:00
Overview of
BMC Capacity Management
Presented by Jim Griffiths
of BMC Software 12:00 1:00
Lunch sponsored by BMC
Software
3:15
Closing Remarks
Optional - Social Gathering
at Chevys (Kennerly & Tesson Ferry)
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Meeting Details
Date: Tuesday February 23rd
Time: 9am to 3:30 pm
13045 Tesson Ferry Rd, St. Louis, MO 63128
Cost: $25 if paid by January 23rd
$50 if paid by February 19th
$75 at the door
Fee is waived for anyone who
is out of work and
for Full-time College Students
with ID; must RSVP by January 23rd
Send
payment to
St. Louis Computer Measurement Group
P.O. Box 1474, Maryland Heights, MO
63043
or
Use PayPal to send your payments to
stlcmg@cmg.org
Presentation
Abstracts
Analytic Modeling Techniques for
Predicting Batch Window Elapsed Time
Techniques for capacity planning/modeling
were first developed in order to predict system responsiveness for
interactive work. But many
companies have critical work which runs periodically (daily, monthly),
non-interactively, and with an elapsed time requirement (batch
window). Elapsed time
prediction utilizes different modeling and analysis techniques than
interactive workload analysis does. These techniques are outlined and
applied in four case studies (UNIX/Windows systems): (1) one job, (2)
multiple simultaneous jobs, (3) a sequence of smaller jobs, and (4)
hundreds of sequences of smaller jobs.
How's Your Mentoring Project
Going? or
Have the Young Guns Picked up on z/OS yet?
Mainframe computing is going to be with
us indefinitely, but there
still is a need to develop new professionals and to familiarize them
with a working knowledge of z/OS.
Education in the elements that are peculiar to the mainframe
platform is necessary,
but the veteran practitioners must still provide guidance to the newer
professionals entering this arena.
Latent Demand
in MF Computing Systems human factors, and measurable ones
Analytical modeling is a capacity
planning function used to accurately project future computing resource
requirements. However, many
capacity planners ignore activity outside of the box network
changes, human behavior, and changing requirements which can introduce
latent demand to an upgraded system and adversely affect the results of
their best planning efforts..
Predicting the
Relative Performance of CPU When an analytic model or
sizing tool predicts CPU performance, it uses (1) queuing theory
calculations and (2) a representation of relative performance for each
CPU configuration. This paper focuses on (2) using a sample CPU rating
system from www.spec.org. Our research results include an algorithm for
finding functions to describe relative performance, as well as specific
properties of general and vendor-specific functions. These results can
be directly applied to any case where the CPU vendor supplies limited
benchmark data compared to the number of CPU configurations actually
available. Server Virtualization
Inside Out Server virtualization
presented daunting challenges to performance analysts and capacity
planners on planning, implementing, and managing the dynamic and
virtualized environments.
This presentation will be focusing on the basic concepts and techniques
used to implement the major components of virtual servers behind the
scene. With the understanding of the internal view, performance analysts
will be able to work more effectively with the virtualized environments.
The presentation will cover the following topics:
Introduction to
server virtualization concepts, including the definition, benefit, and
use cases.
Comparison of
five different types of server virtualization architectures, and an
overview of a broad range of commercial solutions.
CPU
virtualization, including the instruction classifications, privileged
instructions handling, CPU scheduling, virtual machine booting, and time
keeping.
Memory
management issues, including allocation, address mapping, over
commitment, and sharing.
I/O
virtualization, including the architectures of monolithic and
client-server model.
Clustering,
resource pool, and mobility.
Performance concerns and the
impact to capacity management will be discussed through out the whole
presentation.
Speaker
Biographies
Jie Lu
of BMC Software Jie Lu has over 17 years experience on software development. He has been working on computer performance analysis and capacity planning at BMC Software since 1997. Jie holds a doctoral degree in computer science, and is also an adjunct professor at the University of Massachusetts Lowell.
Debbie
Sheetz of BMC Software Debbie Sheetz is a Sr. Staff Consultant based in BMC Customer Support, at the Waltham, Massachusetts/USA location. She provides applied solutions for performance analysis and capacity planning challenges for customers, business partners, and BMC field consultants. She works with product R&D and marketing on refining existing solutions and designing new solutions. Prior to working with Distributed Systems performance management products, she had extensive involvement with AS/400 and mainframe product support and development. Originally hired to work on the first version of BEST/1 at BGS Systems, she has 33 years experience developing and supporting performance analysis software with BMC Software/BGS Systems.
Greg
Caliri of BMC Software Lead Technical Support Analyst for BMC Software Capacity Management for Mainframes, based in Waltham, Massachusetts. Thirty-six years in the computer industry, member of CMG national since 1986, also co-founded the Greater Boston CMG Region in 1993 and served as its first chair..
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