Choosing a policy type

How do you decide which policy type to use? Table 3 answers this question for several common use cases. The section following the table helps you decide between using an OwnBorrow policy or a utilization policy.

Table 3 Choosing a policy type

If...

You want gWLM to allocate a constant amount of CPU resources to a workload.

You have your own metric by which you want gWLM to manage a workload.

IT acts as a service provider to business units.

You have static vPars, but you want to move to a model where cores migrate among vPars.

Use the following type of policy...

Fixed

Custom

OwnBorrow

This policy type allows you to set an owned amount of resources, while also giving you control over how workloads borrow and lend resources.

gWLM provides a “topborrowers” report and a “resourceaudit” report to help you manage your data center using this model. For more information, see gwlmreport(1M).

OwnBorrow

For each vPar, set its number of owned cores to its static number of cores. The vPar gets those owned cores whenever needed.

You have nPars but, you want to move to a model where CPU resources migrate among nPars.

You want to tap into a pool of resources taking or giving CPU resources as needed—with possibly no access to resources beyond a minimum request.

OwnBorrow

Install the HP Instant Capacity product on each npar. (This software allows gWLM to simulate CPU resource movement among nPars with spare capacity.)

For each npar, set its number of owned cores to the number of cores you want the npar to have whenever needed.

Utilization

You have a policy that should be in effect only for a given time period, for the duration of a file's existence, or for a certain Serviceguard condition.

Conditional

Select an existing policy and a default policy and then set

atime-based condition, set a file-based condition, or choose from the possible Serviceguard conditions.

Choosing between an OwnBorrow policy and a utilization policy

OwnBorrow and utilization policies both allocate resources to a workload based on the workload's use of its current allocation. Both policy types also specify minimum and maximum amounts of resources the workload should get. A workload with either type of policy can lend other workloads its unused resources—down to its minimum. (If the workload does not consume its entire minimum allocation, those unused resources are not available to other workloads.)

OwnBorrow policies, however, provide greater control in lending resources because they also have an owned amount of resources. A workload always gets its owned resources back whenever needed. So, with an OwnBorrow policy, you can set a lower minimum allocation (increasing the amount of resources available for sharing among workloads), knowing the associated workloads get their owned resources whenever needed. Thus, an OwnBorrow policy provides greater flexibility in attempting to allocate a workload a certain amount of resources when needed while also lending those resources to other workloads when not needed.

16 Configuring gWLM to manage workloads

Page 16
Image 16
HP UX 11i Workload Management (gWLM/WLM) Software manual Choosing a policy type

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.