Automated capacity provisioning method using historical performance data

US2016335122A1 · US · A1

Patent metadata
FieldValue
Publication numberUS-2016335122-A1
Application numberUS-201615222491-A
CountryUS
Kind codeA1
Filing dateJul 28, 2016
Priority dateAug 31, 2006
Publication dateNov 17, 2016
Grant date

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  1. Title

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  2. Abstract

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  4. Key dates

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  5. First independent claim

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  7. Citations and related patents

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Abstract

Official abstract text for this publication.

The method may include collecting performance data relating to processing nodes of a computer system which provide services via one or more applications, analyzing the performance data to generate an operational profile characterizing resource usage of the processing nodes, receiving a set of attributes characterizing expected performance goals in which the services are expected to be provided, and generating at least one provisioning policy based on an analysis of the operational profile in conjunction with the set of attributes. The at least one provisioning policy may specify a condition for re-allocating resources associated with at least one processing node in a manner that satisfies the performance goals of the set of attributes. The method may further include re-allocating, during runtime, the resources associated with the at least one processing node when the condition of the at least one provisioning policy is determined as satisfied.

First claim

Opening claim text (preview).

1 - 20 . (canceled) 21 . A method for automatically allocating computer resources in a computer system, the method comprising: obtaining performance data characterizing the computer system, the computer system implementing services with fluctuating demand over time; generating a system resource usage profile based on the performance data, the performance data comprising central processing unit (CPU) utilization data and response time data, the response time data defined for one or more of transactions, workloads, jobs, tasks, applications, or threads comprising the services; receiving service level objectives for the services, the service level objectives characterizing a manner in which the services are provided to users over time; automatically generating one or more provisioning policies based on the system resource usage profile and one or more of the service level objectives, including calculating a number of servers required for each of a plurality of time slots; and provisioning the computer resources based on at least one of the provisioning policies, including adjusting an allocation of servers to the number of servers required for a particular time slot of the plurality of time slots. 22 . The method of claim 21 , wherein the provisioning the computer resources based on at least one of the provisioning policies includes activating at least one server to process transactions and de-activating at least one server to stop processing transactions. 23 . The method of claim 21 , wherein at least one of the service level objectives indicate an arrival value for transactions at a server of the computer system. 24 . The method of claim 21 , wherein the system resource usage profile characterizes resource usage of the computer resources of the computer system over time. 25 . The method of claim 21 , wherein the automatically generating one or more provisioning policies based on the system resource usage profile and one or more of the service level objectives includes analyzing the system resource usage profile and one or more of the service level objections within at least one of a trending analysis, predictive analysis, and what-if scenarios. 26 . The method of claim 21 , wherein at least one of the provisioning policies indicates allocating a number of servers to the number of servers required for the particular time slot of the plurality of time slots when an average response time for the transactions is greater than or equal to a threshold level. 27 . The method of claim 21 , further comprising: collecting new performance data while the computer system is executing the services; re-generating the system resource usage profile based on the new performance data; and updating at least one of the provisioning policies based on an analysis of the re-generated system resource usage profile in view of one or more of the service level objectives. 28 . The method of claim 21 , further comprising: providing a display of the automatically generated provisioning policies via a user interface of the computer system; receiving a change to a provisioning policy of the displayed provisioning policies via the user interface; and updating the provisioning policy based on the change. 29 . A non-transitory computer-readable medium storing instructions, when executed by at least one processor, are configured to automatically allocate computer resources in a computer system, including: obtain performance data characterizing the computer system, the computer system implementing services with fluctuating demand over time; generate a system resource usage profile based on the performance data, the performance data comprising central processing unit (CPU) utilization data and response time data, the response time data defined for one or more of transactions, workloads, jobs, tasks, applications, or threads comprising the services; receive service level objectives for the services, the service level objectives characterizing a manner in which the services are provided to users over time; automatically generate one or more provisioning policies based on the system resource usage profile and one or more of the service level objectives, including calculating a number of servers required for each of a plurality of time slots; and provision the computer resources based on at least one of the provisioning policies, including adjusting an allocation of servers to the number of servers required for a particular time slot of the plurality of time slots. 30 . The non-transitory computer-readable medium of claim 29 , wherein the instructions to provision the computer resources include instructions to activate at least one server to process transactions. 31 . The non-transitory computer-readable medium of claim 29 , wherein at least one of the service level objectives indicate an arrival value for transactions at a server of the computer system. 32 . The non-transitory computer-readable medium of claim 29 , wherein the system resource usage profile characterizes resource usage of the computer resources of the computer system over time. 33 . The non-transitory computer-readable medium of claim 29 , wherein the instructions to automatically generating one or more provisioning policies include instructions to analyze the system resource usage profile and one or more of the service level objections within at least one of a trending analysis, predictive analysis, and what-if scenarios. 34 . The non-transitory computer-readable medium of claim 29 , wherein at least one of the provisioning policies indicates allocating a number of servers to the number of servers required for the particular time slot of the plurality of time slots when an average response time for the transactions is greater than or equal to a threshold level. 35 . The non-transitory computer-readable medium of claim 29 , further comprising: collect new performance data while the computer system is executing the services; re-generate the system resource usage profile based on the new performance data; and update at least one of the provisioning policies based on an analysis of the re-generated system resource usage profile in view of one or more of the service level objectives. 36 . The non-transitory computer-readable medium of claim 29 , further comprising: provide a display of the automatically generated provisioning policies via a user interface of the computer system; receive a change to a provisioning policy of the displayed provisioning policies via the user interface; and update the provisioning policy based on the change. 37 . A system for automatically allocating computer resources in a computer system, the system comprising: an assessment module configured to cause at least one processor to obtain performance data of a computer system that implements services with fluctuating demand, and to generate a system resource usage profile based on the performance data, the performance data comprising central processing unit (CPU) utilization data and response time data, the response time data defined for one or more of transactions, workloads, jobs, tasks, applications, or threads comprising the services; a policy generating module configured to cause the at least one processor to receive service level objectives for the services, the service level objectives characterizing a manner in which the services are provided to users over time, the policy generating module configured to cause the at least one processor to automatically generate one or more provisioning policies based on an ana

Assignees

Inventors

Classifications

  • Monitor · CPC title

  • Workload prediction · CPC title

  • G06F9/505Primary

    considering the load · CPC title

  • Interaction techniques to control parameter settings, e.g. interaction with sliders or dials · CPC title

  • Terminal profiles · CPC title

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Frequently asked questions

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What does patent US2016335122A1 cover?
The method may include collecting performance data relating to processing nodes of a computer system which provide services via one or more applications, analyzing the performance data to generate an operational profile characterizing resource usage of the processing nodes, receiving a set of attributes characterizing expected performance goals in which the services are expected to be provided,…
Who is the assignee on this patent?
Bmc Software Inc
What technology area does this patent fall under?
Primary CPC classification G06F9/505. Mapped technology areas include Physics.
When was this patent published?
Publication date Thu Nov 17 2016 00:00:00 GMT+0000 (Coordinated Universal Time) (A1). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 8 related publications on this page (citations in our corpus or others sharing the same primary CPC).