Abstract
There is an increasing trend to consolidate workloads in cloud environments that are highly standardized, virtualized, and automated. Each of these cloud characteristics offers significant cost benefits. For example, virtualized environments generate the most benefit when you use infrastructure with elastic scaling that meets resource requirements, and at the same time, maintains high resource utilization. You can choose a public cloud provider. However, building a private cloud provides the additional benefits of full control of access, availability and recovery, and better security which you might need for regulation compliance.
Processor consumption over time is characterized by sporadic peaks, cyclic peaks, or it is seen to be trending upward or downward. Taking these characteristics in account, this paper describes techniques to manage workload processor consumption on a private cloud environment on IBM® zEnterprise® System (zEnterprise).
This IBM Redpaper™ publication is a reference to various techniques that are available for managing workload processor resources on clouds that are set up using the IBM zEnterprise System. This publication is intended for system administrators, IT executives, and other IT professionals who are looking for ways to improve cost benefits by efficiently using processor resources.
Table of Contents
Managing Workload Processor Resources on Cloud
Managing processor resources
Workloads on a private cloud
PPM Dynamic CPU Resource Management
PPM Load Balancing weight recommendations
Correct workload mixture
Offloading to a public cloud
Partition mobility
Conclusion