Support apparatus and method

Patent metadata

Field	Value
Publication number	US-11102144-B2
Application number	US-202017014109-A
Country	US
Kind code	B2
Filing date	Sep 8, 2020
Priority date	Oct 4, 2019
Publication date	Aug 24, 2021
Grant date	Aug 24, 2021

Abstract

A support apparatus and method are capable of facilitating work to optimize deployment locations of information processing resources and are respectively allocated to one or more allocation targets. A deployment location candidate is calculated, which is an appropriate deployment location of each of the information processing resources allocated to each of the allocation targets, and a reducible cost is determined when the information processing resource is allocated to the deployment location candidate, with respect to each information processing resource. The reducible cost is displayed when the deployment of the information processing resource allocated to the allocation target is optimized, and the importance of the allocation target is determined by associating the reducible cost with the importance of the allocation target with respect to each allocation target on the basis of the calculation result of the reducible cost for each information processing resource.

First claim

The invention claimed is:

1. A support apparatus for supporting work to optimize deployment of information processing resources respectively allocated to one or more allocation targets, the support apparatus comprising:
a processer coupled to a memory storing instructions that when executed by the processor configure the processor to:
calculate a deployment location candidate, which is a deployment location of each of the information processing resources allocated to each of the allocation targets, and a reducible cost when the information processing resource is allocated to the deployment location candidate, with respect to each information processing resource; and
display on a display apparatus the reducible cost when the deployment of the information processing resource allocated to the allocation target is optimized, and an importance of the allocation target by associating the reducible cost with the importance of the allocation target with respect to each allocation target based on a result of the calculated reducible cost for each information processing resource.

2. The support apparatus according to claim 1 , wherein the processor is furthered configured to
acquire configuration information and performance information of each of the information processing resources, which is allocated to each of the allocation targets, from a corresponding one of an on premises resource, a private cloud resource and a public cloud resource that are capable of providing the information processing resources; and
calculate the deployment location candidate and the reducible cost for each of the information processing resources on the basis of the acquired configuration information and the performance information of each of the information processing resources, and menu information of the information processing resources provided by each said of the on premises resource, the private cloud resource and the public cloud resource.

3. The support apparatus according to claim 1 ,
wherein the processor is further configured to calculate an optimum configuration, in which an excess portion is reduced, with respect to each of the information processing resources, and
calculate a deployment location in the calculated configuration as the deployment location candidate with respect to each of the information processing resources.

4. The support apparatus according to claim 3 ,
wherein the processor is further configured to display on the display apparatus a first screen which includes plane coordinates with one axis representing the reducible cost and another axis representing the importance and in which each of objects associated with each of the allocation targets is drawn at a corresponding position on the plane coordinates.

5. The support apparatus according to claim 4 ,
wherein each of the objects is of a circular shape and is displayed with a size according to a total cost of the information processing resource allocated to the allocation target or a system scale of the on premises resource, the private cloud resource and the public cloud resource which provides the information processing resource.

6. The support apparatus according to claim 5 ,
wherein the processor is further configured to, when one of the objects is selected on the first screen, display on the display apparatus a second screen which displays at least one of: the reducible cost when the respective information processing resources allocated to the allocation target corresponding to the selected object are integrated in any one of the on premises resource, a private cloud resource and a public cloud resource; and
calculate the reducible cost when each of the information processing resources allocated to the allocation target is optimized in the one of the on premises resource, a private cloud resource and a public cloud resource at present.

7. The support apparatus according to claim 6 ,
wherein the processor is further configured to, when one of the reducible costs is selected on the second screen, display on the display apparatus a breakdown of the selected reducible cost.

8. A support method executed by a support apparatus for supporting work to optimize deployment of information processing resources respectively allocated to one or more allocation targets, the support method comprising:
a first step of calculating a deployment location candidate, which is a deployment location of each of the information processing resources allocated to each of the allocation targets, and a reducible cost when the information processing resource is allocated to the deployment location candidate, with respect to each information processing resource; and
a second step of displaying the reducible cost when the deployment of the information processing resource allocated to the allocation target is optimized, and an importance of the allocation target by associating the reducible cost with the importance of the allocation target with respect to each allocation target based on a result of the calculation of the reducible cost for each information processing resource.

9. The support method according to claim 8 ,
wherein in the first step,
configuration information and performance information of each of the information processing resources, which is allocated to each of the allocation targets, are acquired from a corresponding one of an on premises resource, a private cloud resource and a public cloud resource that are capable of providing the information processing resources; and
wherein the deployment location candidate and the reducible cost for each of the information processing resources are calculated on the basis of the acquired configuration information and performance information of each of the information processing resources and menu information of the information processing resources provided by each said corresponding one of an on premises resource, a private cloud resource and a public cloud.

10. The support method according to claim 8 ,
wherein in the first step, an optimum configuration, in which an excess portion is reduced, is calculated with respect to each of the information processing resources, and a deployment location in the calculated configuration is calculated as the deployment location candidate with respect to each of the information processing resources.

11. The support method according to claim 10 ,
wherein in the second step, a first screen which includes plane coordinates with one axis representing the reducible cost and another axis representing the importance and in which each of objects associated with each of the allocation targets is drawn at a corresponding position on the plane coordinates is displayed.

12. The support method according to claim 11 ,
wherein each of the objects is of a circular shape and is displayed with a size according to a total cost of the information processing resource allocated to the allocation target or a system scale of the on premises resource, a private cloud resource and a public cloud resource which provides the information processing resource.

13. The support method according to claim 12 ,
wherein in the second step, when one of the objects is selected on the first screen, a second screen is displayed, which displays at least one of: the reducible cost when the respective information processing resources allocated to the allocation target corresponding to the selected object are integrated in any one of the on premises resource, the private cloud resource and the public cloud information processing systems; and the reducible cost when each of the information processing resources allocated to the allocation target is optimized in the info

Assignees

• Hitachi Ltd

Inventors

• Jutori Hiroyoshi
• Morimura Tomohiro
• Kaneko Satoshi
• Hayashi Shinichi

Classifications

• H04L47/83

  based on usage prediction · CPC title

• H04L47/781 Primary

  Centralised allocation of resources · CPC title

• H04L41/22 Primary

  comprising specially adapted graphical user interfaces [GUI] · CPC title

• G06F11/3466

  Performance evaluation by tracing or monitoring · CPC title

• G06F11/3051

  Monitoring arrangements for monitoring the configuration of the computing system or of the computing system component, e.g. monitoring the presence of processing resources, peripherals, I/O links, software programs (verification or detection of system hardware configuration G06F11/2247) · CPC title