#Specify the size (in MB) and number of files to use

#for logging. For a single file of unlimited size, set

#logFileSize to negative one (logFileSize=-1).

#Otherwise, total log file size is

#logFileSize * logNFiles

#

com.hp.gwlm.util.Log.logFileSize = 20 com.hp.gwlm.util.Log.logNFiles = 3

#

#Support for automatic database statistics gathering. These properties

#control how often row-level statistics are gathered from the database in

#order to optimize performance.

#

#com.hp.gwlm.cms.db.analyze.time:

#Frequency, in minutes, in which statistics are gathered. The

#default is to attempt to gather database statistics every 60

#minutes. When the analysis runs, statistics will only be gathered

#if a certain number of transactions have been processed (which is

#configured in the property below).

#

#com.hp.gwlm.cms.db.analyze.limit:

#Number of consecutive transactions that must take place before a

#database analysis is performed.

#

com.hp.gwlm.cms.db.analyze.time = 60 com.hp.gwlm.cms.db.analyze.limit = 50

#

#Support for the database cache on the CMS.

#cachesize:

#The number of historical configurations to cache in memory.

#A larger historical configuration cache reduces time spent

#in database lookups. The valid range is 1-1000.

#

com.hp.gwlm.cms.cachesize = 100

#

#Support for local data caching on a remote node for report generation.

#These properties are defined on the CMS but are pushed out to the remote

#node managers during deployment of an SRD. The cached objects on the

#agent consume an amount of memory approximated by:

#

#Memory = 5000 * workloads * cachesize * (60 / resource_domain_interval)

#bytes of memory. For example, if there are 4 workloads deployed with a

#15 second interval and a cachesize of 20 minutes, the agent will need:

#

#Memory = 5000 * 4 * 20 * (60 / 15) ~ 2.5 MB.

#cachesize:

#The number of minutes of real-time data to maintain on the remote

#node for future CMS access. This value must be at least three

#times the 'samples' value specified below. The default value is

#20 minutes.

#

#samples:

#The number of minutes of real-time data used to aggregate into a

#historical data point. The default is to aggregate the data into

#5-minute averages.

#

com.hp.gwlm.node.cachesize = 20 com.hp.gwlm.node.samples = 5

Setting gWLM properties 37

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HP UX 11i Workload Management (gWLM/WLM) Software manual Setting gWLM properties
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UX 11i Workload Management (gWLM/WLM) Software specifications

HP-UX 11i Workload Management (gWLM/WLM) software is an integral component of HP's premier UNIX operating system, designed to enhance system performance and resource management across diverse workloads. This advanced tool allows system administrators to monitor, control, and allocate resources effectively to achieve optimal performance, reliability, and service levels in enterprise environments.

One of the main features of gWLM/WLM is its ability to classify workloads and manage them according to specific policies set by the administrator. By using service level objectives (SLOs), administrators can define the performance criteria for various applications and workloads. gWLM continuously tracks these workloads, ensuring that they adhere to the defined SLOs, thus maintaining a high level of application performance.

The software employs resource pools, which segment resources such as CPU, memory, and I/O bandwidth among different workloads based on predefined priorities. This capability ensures that critical applications receive the resources they require, even during peak usage periods, thereby preventing resource starvation that could lead to system slowdowns or crashes.

Another significant characteristic of gWLM/WLM is its real-time monitoring and reporting capabilities. The software provides detailed insights into resource utilization, workload performance, and system health. Administrators can access this information through a user-friendly interface, allowing for informed decision-making and proactive management.

Integration with HP Serviceguard adds another layer of functionality, enabling high availability for critical applications. gWLM can orchestrate workload migration to ensure that service levels are maintained, even in the event of hardware failures or resource contention.

The technology behind gWLM/WLM is built on advanced algorithms that leverage historical data and predictive modeling to optimize resource allocation dynamically. This means that as workloads change, the system can automatically adjust resource distribution to meet performance targets without the need for constant manual intervention.

gWLM also supports integration with various enterprise management tools, enabling administrators to implement comprehensive monitoring and management strategies across the IT infrastructure. The scalability of gWLM allows organizations of all sizes to benefit from its robust workload management features, ensuring that they can adapt to changing demands in their operational environments.

In summary, HP-UX 11i Workload Management software offers a sophisticated solution for optimizing resource utilization, managing workloads effectively, and maintaining high performance in complex enterprise environments. Its comprehensive features and technologies make it an essential tool for any organization seeking to enhance their IT operations.
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