Capability-based abstraction of software-defined infrastructure

US9851933B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-9851933-B2
Application numberUS-201514667740-A
CountryUS
Kind codeB2
Filing dateMar 25, 2015
Priority dateMar 25, 2015
Publication dateDec 26, 2017
Grant dateDec 26, 2017

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  1. Title

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  2. Abstract

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  3. Assignees and inventors

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  4. Key dates

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  5. First independent claim

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  6. CPC / IPC classifications

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  7. Citations and related patents

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Abstract

Official abstract text for this publication.

There is a method and system for capability-based resource allocation in a software-defined environment that performs the following steps (not necessarily in the following order): (i) determining a set of capability characteristics for a plurality of workload resources within a software-defined environment; (ii) determining a set of workload components for a specified workload; and (iii) identifying a set of workload resources from the plurality of workload resources to allocate to the specified workload based, at least in part, on the set of capability characteristics corresponding to each workload within the set of workload resources. A workload component of the set of workload components has a unique set of workload characteristics.

First claim

Opening claim text (preview).

What is claimed is: 1. A method for capability-based resource allocation in a software-defined environment, the method comprising: establishing a set of logical abstractions corresponding to a set of workload resources, each logical abstraction based on a particular capability of the set of workload resources; assigning to a first logical abstraction a capability profile identifying a first capability on which the first logical abstraction is based; dividing a specified workload into a set of workload components for individual assignment of logical abstractions in the set of logical abstractions to perform individual workload components in the set of workload components; determining a workload characteristic of a workload component; and allocating the first logical abstraction to the workload component based, at least in part, on the capability profile and the workload characteristic of the workload component; wherein: the workload component has a unique set of workload characteristics compared to a second workload component within the set of workload components; at least the allocating step is performed by computer software running on computer hardware; the specified workload is a print job; and the particular capability is a color imaging capability. 2. The method of claim 1 , wherein the plurality of workload resources includes at least one of computing resources, storage resources, and networking resources. 3. The method of claim 1 , wherein the plurality of workload resources includes a first workload resource in a first data center and a second workload resource in a second data center. 4. The method of claim 1 , wherein the step of establishing the set of logical abstractions includes at least one of: discovering the set of workload resources; calibrating the set of workload resources; and clustering the set of workload resources; wherein: the discovering, calibrating, and/or clustering steps are performed automatically. 5. The method of claim 1 , further comprising: responsive to availability of a new workload resource, determining a set of capability characteristics of the new workload resource; and changing the set of workload resources to include the new workload resource based, at least in part, on the set of capability characteristics of the new workload resource. 6. The method of claim 1 , wherein the workload component is color photo printing. 7. A computer program product for capability-based resource allocation in a software-defined environment, the computer program product comprising a computer readable storage medium having stored thereon program instructions programmed to: establish a set of logical abstractions corresponding to a set of workload resources, each logical abstraction based on a particular capability of the set of workload resources; assign to a first logical abstraction a capability profile identifying a first capability on which the first logical abstraction is based; divide a specified workload into a set of workload components for individual assignment of logical abstractions in the set of logical abstractions to perform individual workload components in the set of workload components; determine a workload characteristic of a workload component; and allocate the first logical abstraction to the workload component based, at least in part, on the capability profile and the workload characteristic of the workload component; wherein: the workload component has a unique set of workload characteristics compared to a second workload component within the set of workload components; the specified workload is a print job; and the particular capability is a color imaging capability. 8. The computer program product of claim 7 , wherein the plurality of workload resources includes at least one of computing resources, storage resources, and networking resources. 9. The computer program product of claim 7 , wherein the plurality of workload resources includes a first workload resource in a first data center and a second workload resource in a second data center. 10. The computer program product of claim 7 , wherein the program instructions programmed to establish the set of logical abstractions includes at least one of program instructions to: discover the set of workload resources; calibrate the set of workload resources; and cluster the set of workload resources; wherein the discovering, calibrating, and clustering steps are performed automatically. 11. The computer program product of claim 7 , further comprising program instructions programmed to: responsive to availability of a new workload resource, determine a set of capability characteristics of the new workload resource; and change the set of workload resources to include the new workload resource based, at least in part, on the set of capability characteristics of the new workload resource. 12. The computer program product of claim 7 , wherein the workload component is color photo printing. 13. A computer system for capability-based resource allocation in a software-defined environment, the computer system comprising: a processor(s) set; and a computer readable storage medium; wherein: the processor set is structured, located, connected, and/or programmed to run program instructions stored on the computer readable storage medium; and the program instructions include program instructions programmed to: establish a set of logical abstractions corresponding to a set of workload resources, each logical abstraction based on a particular capability of the set of workload resources; assign to a first logical abstraction a capability profile identifying a first capability on which the first logical abstraction is based; dividing a specified workload into a set of workload components for individual assignment of logical abstractions in the set of logical abstractions to perform individual workload components in the set of workload components; determine a workload characteristic of a workload component; and allocate the first logical abstraction to the workload component based, at least in part, on the capability profile and the workload characteristic of the workload component; wherein: the workload component has a unique set of workload characteristics compared to a second workload component within the set of workload components; the specified workload is a print job; and the particular capability is a color imaging capability. 14. The computer system of claim 13 , wherein the plurality of workload resources includes at least one of computing resources, storage resources, and networking resources. 15. The computer system of claim 13 , wherein the plurality of workload resources includes a first workload resource in a first data center and a second workload resource in a second data center. 16. The computer system of claim 13 , wherein the program instructions programmed to establish the set of logical abstractions includes at least one of program instructions to: discover the set of workload resources; calibrate the set of workload resources; and cluster the set of workload resources; wherein the discovering, calibrating, and clustering steps are performed automatically. 17. The computer system of claim 13 , wherein the workload component is color photo printing. 18. The computer system of claim 13 , further including program instructions programmed to: responsive to availability of a new workload resource, determine a set of capability characteristics of the new workload resource; and change the set o

Assignees

Inventors

Classifications

  • in client-server-printer device configuration · CPC title

  • wherein the managed service relates to distributed or central networked applications · CPC title

  • for load management (allocation of a server based on load conditions G06F9/505; load rebalancing G06F9/5083; redistributing the load in a network by a load balancer H04L67/1029) · CPC title

  • Assignment of logical groups to network elements · CPC title

  • characterised by the conditions triggering a change of settings · CPC title

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Frequently asked questions

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What does patent US9851933B2 cover?
There is a method and system for capability-based resource allocation in a software-defined environment that performs the following steps (not necessarily in the following order): (i) determining a set of capability characteristics for a plurality of workload resources within a software-defined environment; (ii) determining a set of workload components for a specified workload; and (iii) identi…
Who is the assignee on this patent?
IBM
What technology area does this patent fall under?
Primary CPC classification G06F3/126. Mapped technology areas include Physics.
When was this patent published?
Publication date Tue Dec 26 2017 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 5 related publications on this page (citations in our corpus or others sharing the same primary CPC).