International Business Machines Corporation

Yong Feng

Joseph W Cropper

Xiao Liang Hu

Peter Bergersen Yocom

Yuksel Gunal

Ying Di Zhang

Yu Zhang

Heng Xu

Embodiments include a technique for predictive virtual server scheduling and optimization of dynamic consumable resources to achieve priority-based workload performance objectives is provided. Techniques include calculating a capacity requirement for each virtual server based on an administrator defined performance objective for each virtual server. Techniques also include calculating an available CPU capacity for each importance level based on the calculated capacity requirement for each virtual server, sending the calculated available CPU capacity to a scheduler; and selecting a target hypervisor based on the calculated capacity requirement of each virtual server and the calculated available CPU capacity at each importance level of each hypervisor.

Predictive virtual server scheduling and optimization of dynamic consumable resources to achieve priority-based workload performance objectives

Placement of virtual machines on physical hosts are based on differing initial policies and optimization policies set by a system administrator to more efficiently utilize system resources and serve the needs of different workloads. A scheduler mechanism allows a system administrator to select different initial placement policies for one or more host groups of physical hosts. The scheduler mechanism utilizes an optimizer that monitors host performance and adjusts the placement of virtual machines according to another set of optimization policies similarly selected by the system administrator for each of the host groups.

Placement of virtual machines on physical hosts

Optimized placement of virtual machines on physical hosts based on user configured placement polices

Optimized placement of virtual machines on physical hosts based on user configured placement policies

Embodiments of the present invention provide a method, computer program product, and computer system for reclaiming resources during virtual machine decommission. The method includes determining a virtual machine (VM) resource utilization and a cluster utilization. If the VM resource utilization is less than a first predetermined threshold and the cluster utilization is greater than a second predetermined threshold, the method then determines whether an active timer exists. If the active timer exists and has expired, then dynamic decommission of the VM is triggered.

Automatically and dynamically reclaiming resources during virtual machine decommission

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Unionville, Canada

Yong Feng