AUTO-SCALING FOR ALLOCATION OF CLOUD SERVICE RESOURCES IN APPLICATION DEPLOYMENTS

Patent №

US 11,625,278

Granted

2023-04-11

Filed 2022

Owner

CITRIX SYSTEMS, INC.

Lab

AI components

5

ml · kr · planning · evo · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

17720867

Described embodiments provide systems and methods of allocating cloud resources for application deployments. A resource allocator may identify a first metric indicating usage of cloud resources by clients in a first release environment for an application update. The resource allocator may generate, using the first metric, a resource capacity model for predicting usage of the cloud resources by clients in a second release environment for the application update. The resource allocator may determine, using the resource capacity model, a metric predicting the usage of the cloud resources by the clients in the second release environment. The resource allocator may generate instructions to set an allocation of the cloud computing resources for performing deployment of the application update to the second release environment based on the second metric.

Machine learningKnowledge representationPlanningEvolutionary computationAI hardwareG06F 9/505H04L 41/082H04L 43/062H04L 43/0876H04L 47/83G06F 8/65G06F 9/5072H04L 41/0806+4 more

AI classification

Planning1.00
AI hardware0.99
Knowledge representation0.94
Evolutionary computation0.63
Machine learning0.55
Natural language0.00
Speech0.00
Vision0.00

Ownership

CITRIX SYSTEMS, INC.

assignment · 596030942

Assignors

CHEN, YONGYU, CATTANEO, JOHN CARLO VINCENT

On an employer assignment, the assignors are typically the inventors.

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