Einzeltreffer — DigiBib

The technology is directed to systems and methods for adjusting computing resource quotas based on metrics associated with or corresponding to a cloud environment. The metrics corresponding to computing resources used by a cloud environment may be received. The received metrics may be input into a machine learning model, which may generate, based on the received metrics, one or more predicted quotas for the computing resources used by the cloud environment. The computing resource quotas may be adjusted based on the predicted quotas generated by the machine learning model.

Titel:	System and Method of Context Oriented Quotas (CoQ) In Cloud Systems
Link:	View record in USPTO Patent Applications (Volltext)
Veröffentlichung:	2024
Medientyp:	Patent
Sonstiges:	Nachgewiesen in: USPTO Patent Applications Sprachen: English Document Number: 20240152399 Publication Date: May 9, 2024 Appl. No: 17/980070 Application Filed: November 03, 2022 Claim: 1. A method for adjusting quotas, the method comprising: receiving, by a first computing device, one or more metrics corresponding to computing resources used by a cloud environment; providing, by the first computing device, the one or more metrics to a machine learning model; receiving, by the first computing device from the machine learning model, one or more predicted quotas for the computing resources; and adjusting, by the first computing device, computing resource quotas based on the one or more predicted quotas. Claim: 2. The method of claim 1, wherein the first computing device is a cloud service server. Claim: 3. The method of claim 1, wherein the computing resources are provided by a cloud service. Claim: 4. The method of claim 3, wherein the cloud environment is an application or website implemented by the computing resources of the cloud service. Claim: 5. The method of claim 1, wherein the one or more metrics include traffic volume of the cloud environment. Claim: 6. The method of claim 1, further comprising: receiving, by the first computing device, business contexts data corresponding to the cloud environment, wherein the business contexts data is provided to the machine learning model. Claim: 7. The method of claim 6, wherein the business contexts data comprises business event data including information about upcoming sales, advertisements, or promotions being provided by a business associated with the cloud environment. Claim: 8. The method of claim 7, wherein the business event data is retrieved by a business event agent executing on the first computing device. Claim: 9. The method of claim 6, wherein the business contexts includes geographic event data including information corresponding to happenings in particular locales that may affect the cloud environment. Claim: 10. The method of claim 9, wherein the geographic event data is retrieved by a geo agent executing on the first computing device. Claim: 11. A computing apparatus comprising: a processor; and a memory storing instructions that, when executed by the processor, configure the apparatus to: receive one or more metrics corresponding to computing resources used by a cloud environment; provide the one or more metrics to a machine learning model; receive from the machine learning model, one or more predicted quotas for the computing resources; and adjust computing resource quotas based on the one or more predicted quotas. Claim: 12. The computing apparatus of claim 11, wherein the computing apparatus is a cloud service server. Claim: 13. The computing apparatus of claim 11, wherein the computing resources are provided by a cloud service. Claim: 14. The computing apparatus of claim 13, wherein the cloud environment is an application or website implemented by the computing resources of the cloud service. Claim: 15. The computing apparatus of claim 11, wherein the one or more metrics include traffic volume of the cloud environment. Claim: 16. The computing apparatus of claim 11, wherein the instructions further configure the apparatus to: receive business contexts data corresponding to the cloud environment, wherein the business contexts data is provided to the machine learning model. Claim: 17. The computing apparatus of claim 16, wherein the business contexts data comprises business event data include information about upcoming sales, advertisements, or promotions being provided by a business associated with the cloud environment. Claim: 18. The computing apparatus of claim 17, wherein the business event data is retrieved by a business event agent. Claim: 19. The computing apparatus of claim 16, wherein the business contexts includes geographic event data include information corresponding to happenings in particular locales that may affect the cloud environment. Claim: 20. The computing apparatus of claim 19, wherein the geographic event data is retrieved by a geo agent. Current International Class: 06; 06

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System and Method of Context Oriented Quotas (CoQ) In Cloud Systems