HP UX 11i Workload Management (gWLM/WLM) Software manual Manually adjusting memory resources

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gWLM cannot take advantage—even temporarily—of resources added by:

•Adjustments to entitlements for virtual machines.

•Changes to a virtual machine's number of virtual CPUs while gWLM is managing the virtual machine.

•Creation or deletion of a pset using psrset on a system where gWLM is managing pset compartments.

•Performing online cell operations using parolrad.

•Enabling and disabling Hyper-Threading.

To make use of these additional resources using the gWLM command-line interface:

1.Undeploy the SRD containing the systems that you want to adjust.

2.Make your adjustments.

3.Re-create and re-deploy the SRD.

4.Ensure policies used in the SRD do not unintentionally limit their associated workloads' resource requests.

To make use of these additional resources using the gWLM interface in System Insight Manager, follow the procedure given for that interface above.

NOTE: After manually adjusting the number of cores in an SRD, always confirm the changes after two gWLM resource allocation intervals have passed. Changes might not be as expected due to gWLM behaviors such as the ones described below.

•In an SRD with nested partitions, gWLM samples the inner partitions for their sizes before sampling the outer partitions. Adjusting resources between these samplings can cause gWLM to report incorrect sizes. If you encounter this issue, try making your adjustment again.

•In an SRD with nested partitions that includes vPars, assume you manually add cores from an unmanaged vpar. If you later remove those cores—without returning them to an unmanaged vpar before gWLM samples compartment sizes—those cores are deactivated.

Manually adjusting memory resources

The vparmodify command enables you to move memory from one vpar to another. However, gWLM cannot move CPU resources while a vparmodify operation is in progress. If a memory move takes longer than gWLM's resource allocation interval, gWLM will not be able to satisfy CPU resource requests for the missed intervals. gWLM resumes allocating resources once the memory move is complete.

You might see System Insight Manager events indicating vparmodify commands executed by gWLM are failing. The vparmodify commands fail with the following message:

A conflicting resource migration is in progress on this vPar.

Once the pending migration completes, the gWLM operation should complete.

Setting aside space for historical data

HP recommends that you allocate 4 GB of storage for every 100 workloads you will manage with gWLM. With a 5-minute sampling interval, this is enough space to store 2 years of data, which you can then use for capacity planning and performance management.

On HP-UX, the provided HP System Management Database (HPSMDB), also known as PostgreSQL, stores its data in the /var/opt/ file system. On HP-UX and Windows systems using Oracle, set aside the space in the file system used by the configured database.

34 Additional configuration and administration tasks

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Contents HP Global Workload Manager 7.4 User Guide Acknowledgements Contents Additional configuration and administration tasks Support and other resourcesIndex Overview Benefits of using gWLMComparison of PRM, WLM, and gWLM features GWLM OverviewConcepts and terms for using gWLM Scheduler fss group. gWLM manages a workload byWould make for a workload-without actually affecting GWLM management model SRDHow gWLM allocates CPU resources Available interfaces AssumptionsWhere to find additional information Finding more gWLM informationLearn about other gWLM commands Configuring gWLM to manage workloads Policy typesPolicy types Choosing a policy type Choosing a policy typeGetting started with gWLM Using the wizardSeeing how gWLM will perform without affecting the system Combining the different policy typesSeeing gWLM in action # /opt/gwlm/bin/gwlmagent# perl -e ’print $$\nwhile 1 ’ & 1 Common uses for gWLM Fixing the amount of CPU resources a workload getsCommon configuration tasks Setting up gWLM initial setup stepsChanging from advisory mode to managed mode Creating a new policyEditing a policy Changing which policy is associated with a workloadAdding a new compartment or GiCAP group member to an SRD Stop managing a workloadStop managing an SRD Quick Link Option Monitoring workloads Viewing gWLM reports in monitor-Only modeMonitoring workloads and gWLM High-Level viewMonitoring gWLM from the command line Message logsHP-UX /var/opt/gwlm/gwlmcommand.log.0 Viewing HP Systems Insight Manager events Monitoring gWLM with GlancePlusSecuring gWLM communications SecurityGeneral security topics Securing database communicationsSecurity Additional configuration and administration tasks Manually adjusting CPU resourcesManually adjusting memory resources Setting aside space for historical dataCreating a database maintenance plan Setting cache size for historical configuration dataSetting database recovery model Tips for backup and restoreSetting gWLM properties CMS propertiesSetting gWLM properties Agent properties # Severe # Warning # Info # Config # Fine # Finer # Finest Controlling gWLM’s startup behavior Communications ports# /opt/gwlm/bin/gwlmagent --enablestartonboot How the automatic restart works Related eventsManually clearing an SRD Node Failed to Rejoin SRD on Start-up event# gwlm undeploy --srd=SRD--force Nesting partitions Nested partitionsChanging the gWLM resource allocation interval Using gWLM with Hyper-ThreadingChanging the interval on the command line Changing the interval in HP System Insight ManagerUsing gWLM with hosts on multiple LANs Shows a possible scenarioCreating Golden Images Multiple network interface cardsIncorrectly configured host name or IP address Get the IP address configured for the host using nslookupUnable to create new native thread Enabling or disabling dumping core for gWLMCore dump file is available in root directory Support and other resources How to contact HPSubscription service Information to collect before contacting HPRelated information HP authorized resellersTypographic conventions User input Documentation feedback Compatibility with agents Global Workload Manager known issues LimitationsUnable to build a single shared resource domain Compatibility with PRM and WLMRare incompatibility with virtual partitions Making a configuration change to a large SRD is slowHost name aliases are not supported Deleting workloads takes a long time Integrity VM prevents discovery of psets and fss groupsProcess placement using psrset is ignored Information error during shutdownCustom metrics lost on redeploy Major issues Documentation or minor issues Remove old configuration data from the gWLM databaseCell-local processors and iCAP environment CMS is slow to respondCombining psets and virtual partitions Error during discovery of compartmentsModifying Java while gWLM is running Sample missing at start or end of gwlmreport output Missing or unexpected historical data system clocks differOnly one SRD is allowed to be deployed Application hangs in fss group Processes moved to default pset or default fss groupSRD deployment times out and displays a blank screen Scripts not placed in correct workloadsChanges in sizes in Discovery Configuration of agent and CMS not synchronizedUnable to remove workload from nested partitions SRD Missing historical data gWLM CMS daemon/service restarted Negative current size for NonvmUnmanaging a VM or vPar that is on leaves SRD undeployed Index SRDIndex

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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