Ca, Inc.

James Mercer

Paul David Peterson

Francois Marie Bruno Cattoen

John Wiley Ashby, Jr

Peter James Gilbert

Lara Virginia Greden

Richard John Wcislicki Lankester

Salvatore Pilo

Dhesikan Ananchaperumal

Alex Esterkin

David Rich

A resource management computer node obtains hardware utilization values measured for a hardware resource of a computer system being used by a software application. For a set of the utilization values that were measured during a same time-of-day range on a same day of week, the node determines a count value indicating a number of times the utilization values in the set exceed a count threshold, determines a count percentage based on a ratio of the count value to a sum of count values determined for the same day of week, compares the count percentage to a busy threshold, and, responsive to if the count percentage is determined to exceed the busy threshold, sets a busy indicator object at a location in a resource utilization data structure having a defined correspondence to the time-of-day range. The node controls reservation of hardware resources for the software application responsive to whether the busy indicator object has been set.

Reservation of hardware resources in a computer system based on utilization measurements during time ranges

A resource management node includes a processor and a memory coupled to the processor. The memory includes computer readable program code that when executed by the processor causes the processor to perform operations. The operations can include, for each of a plurality of guest virtual machines (VMs), determining operational resources of physical host machines available in a distributed computing system that are needed to provide the guest VM. A placement scenario for placing the guest VMs on the physical host machines and placing the physical host machines in cabinets of a distributed computing system is generated. An amount of infrastructure of the distributed computing system used by the placement scenario is determined. A determination is made whether the placement scenario satisfies a defined rule for how much infrastructure of the distributed computing system can be used. Placement of the physical host machines in the cabinets and placement of the guest VMs on the physical host machines is initiated based on the placement scenario satisfying the defined rule.

Deployment of virtual machines to physical host machines based on infrastructure utilization decisions

A resource management node includes a processor and a memory coupled to the processor. The memory includes computer readable program code that when executed by the processor causes the processor to perform operations. The operations can include, for each of a plurality of guest virtual machines (VMs), determining operational resources of physical host machines available in a distributed computing system that are needed to provide the guest VM. The operations can further include determining an amount of infrastructure of a distributed computing system used by a defined placement of physical host machines in racks of the distributed computing system.

Controlling placement of virtual machines on physical host machines and placement of physical host machines in cabinets

A resource management node includes a processor and a memory coupled to the processor. The memory includes computer readable program code that when executed by the processor causes the processor to perform operations. The operations can include identifying an unproductive group of guest virtual machines (VMs) that satisfy a defined rule for being unproductive on an first group of physical host machines based on infrastructure of a distributed computing system used by the first group of the physical host machines to host the guest VMs. A relocation scenario is generated for relocating the unproductive group of the guest VMs from the first group of the physical host machines to a second group of the physical host machines. An effect of the relocation scenario on infrastructure usage of the distributed computing system is estimated. The unproductive group of the guest VMs is relocated from the first group of the physical host machines to the second group of the physical host machines based on the relocation scenario.

Decommissioning physical host machines after relocating unproductive virtual machines therefrom

Some embodiments disclosed herein are directed to a resource management node having a processor and memory coupled to the processor. The memory includes computer readable program code that when executed by the processor causes the processor to perform operations. The operations include, for each of a plurality of guest virtual machines (VMs) of a VM cluster provided by computer operations of a physical machine among a plurality of physical machines within a distributed computing system, determining a productivity metric for the guest VM based on resources of the physical machine that are used by the guest VM. The operations further include for each of the guest VMs, determining, based on the productivity metric for the guest VM, an infrastructure value that indicates how much infrastructure of the distributed computing system is attributed to providing the guest VM.

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Millville, MA, United States of America

James Mercer