SUP Sizing
Sizing
Sizing
means determining the hardware requirements of an application, such as the
network bandwidth, physical memory, CPU processing power, and I/O capacity.
Hardware and database size is influenced by both business aspects and
technological aspects. You must take into account the number of users using the
various application components and the data load they put on the server.
Benchmarking
Benchmarks
provide basic sizing recommendations by placing a substantial load on a system
during the testing of new hardware, system software components, and relational
database management systems (RDBMSs). All performance data relevant to the
system, user, and business applications are monitored during a benchmark run
and can be used to compare platforms.
Initial Sizing
Initial
sizing refers to the sizing approach that provides statements about
platform-independent requirements of
the
hardware resources necessary for representative, standard delivery applications.
The initial sizing guidelines
assume
optimal system parameter settings, standard business scenarios, and so on.
Expert Sizing
Expert
sizing refers to a sizing exercise where customer-specific data is analyzed and
used to put more detail on the sizing result. The main objective is to
determine the resource consumption of customized content and applications by
comprehensive
measurements.
Configuration and System Landscaping
Hardware
resource and optimal system configuration greatly depend on the requirements of
the customer-specific project. Considerations include the implementation of
distribution, security, and high availability solutions by different approaches
using various third-party tools. In the case of high availability through
redundant resources, for example, final resource requirements must be adjusted
accordingly. Some best practices may be valid for a specific combination of
operating system and database.
An
SUP system which uses MBO based Applications can handle traffic as below.
Category
|
Request Response Per Hour
|
Sizing
|
Memory in GB
|
||
Small
|
30,000
|
4
|
Medium
|
60,000
|
4
|
Large
|
90,000
|
8
|
The
number of registered users in the system has a relatively minor impact on
sizing or performance.
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