Polymorphism And Type Casting In Storage Volume Connections
US-2019163388-A1 · May 30, 2019 · US
US2022138008A1 · US · A1
| Field | Value |
|---|---|
| Publication number | US-2022138008-A1 |
| Application number | US-202117143200-A |
| Country | US |
| Kind code | A1 |
| Filing date | Jan 7, 2021 |
| Priority date | Nov 4, 2020 |
| Publication date | May 5, 2022 |
| Grant date | — |
A practical reading order for non-experts. Skip the full description unless you need deep technical detail.
What the patent document calls the invention.
A short plain-language summary of the technical disclosure.
Who owns or filed the patent and who is credited as inventor.
Filing, priority, publication, and grant dates set the timeline.
The legal scope of protection — read this for what is actually claimed.
Technology tags used to group this patent with similar filings.
Prior art links and similar publications in this corpus.
Official abstract text for this publication.
Methods and apparatus to manage resources in a hybrid workload domain are disclosed. An example apparatus includes a usage monitor to monitor resource utilization of a workload allocated within a hybrid workload domain, and an orchestrator to: determine a first type of the workload domain in the hybrid workload domain; in response to determining that under-utilized resources of the first type are not available, identify resources of a second type that are available; convert the resources from the first type to the second type; and allocate the converted resources to the workload.
Opening claim text (preview).
What is claimed is: 1 . An apparatus comprising: a usage monitor to monitor resource utilization of a workload allocated within a hybrid workload domain; an orchestrator to: determine a first type of a workload domain in the hybrid workload domain; in response to determining that under-utilized resources of the first type are not available, identify resources of a second type that are available; convert the resources from the first type to the second type; and allocate the converted resources to the workload. 2 . An apparatus as defined in claim 1 , wherein the first type is a virtualized computing resource type and the second type is a bare metal resource type. 3 . An apparatus as defined in claim 1 , wherein the first type is a bare metal computing resource type and the second type is a virtualized metal resource type. 4 . An apparatus as defined in claim 1 , wherein the orchestrator is further to, in response to determining that under-utilized resources of the first type are available, allocate the identified resources to the workload. 5 . An apparatus as defined in claim 1 , further comprising a virtualizer to virtualize a bare metal resource. 6 . An apparatus as defined in claim 1 , further comprising a de-virtualizer to de-virtualize virtualized resources. 7 . An apparatus as defined in claim 1 , wherein the hybrid workload domain includes virtualized computing resources and bare metal computing resources. 8 . A non-transitory computer readable medium comprising instructions that, when executed, cause at least one processor to at least: monitor resource utilization of a workload allocated within a hybrid workload domain; determine a first type of a workload domain in the hybrid workload domain; in response to determining that under-utilized resources of the first type are not available, identify resources of a second type that are available; convert the resources from the first type to the second type; and allocate the converted resources to the workload. 9 . A non-transitory computer readable medium as defined in claim 8 , wherein the first type is a virtualized computing resource type and the second type is a bare metal resource type. 10 . A non-transitory computer readable medium as defined in claim 8 , wherein the first type is a bare metal computing resource type and the second type is a virtualized metal resource type. 11 . A non-transitory computer readable medium as defined in claim 8 , wherein the instructions, when executed, cause the at least one processor to, in response to determining that under-utilized resources of the first type are available, allocate the identified resources to the workload. 12 . A non-transitory computer readable medium as defined in claim 8 , wherein the instructions, when executed, cause the at least one processor to virtualize a bare metal resource. 13 . A non-transitory computer readable medium as defined in claim 8 , wherein the instructions, when executed, cause the at least one processor to de-virtualize virtualized resources. 14 . A non-transitory computer readable medium as defined in claim 8 , wherein the hybrid workload domain includes virtualized computing resources and bare metal computing resources. 15 . A method comprising: monitoring resource utilization of a workload allocated within a hybrid workload domain; determining a first type of a workload domain in the hybrid workload domain; in response to determining that under-utilized resources of the first type are not available, identifying resources of a second type that are available; converting the resources from the first type to the second type; and allocating the converted resources to the workload. 16 . A method as defined in claim 15 , wherein the first type is a virtualized computing resource type and the second type is a bare metal resource type. 17 . A method as defined in claim 15 , wherein the first type is a bare metal computing resource type and the second type is a virtualized metal resource type. 18 . A method as defined in claim 15 , further comprising in response to determining that under-utilized resources of the first type are available, allocating the identified resources to the workload. 19 . A method as defined in claim 15 , further comprising virtualizing a bare metal resource. 20 . A method as defined in claim 15 , further comprising de-virtualizing virtualized resources. 21 . A method as defined in claim 15 , wherein the hybrid workload domain includes virtualized computing resources and bare metal computing resources.
Bare-metal, i.e. hypervisor runs directly on hardware · CPC title
Logical partitioning of resources; Management or configuration of virtualized resources (specific details on emulation or internal functioning of virtual machines G06F9/455) · CPC title
Techniques for rebalancing the load in a distributed system · CPC title
Monitor · CPC title
considering the load · CPC title
Related publications grouped by family.
Answers are generated from the same data shown on this page.