Autoscaling in an elastic cloud service

Techniques described herein can optimize usage of computing resources in a data system. Dynamic throttling can be performed locally on a computing resource in the foreground and autoscaling can be performed in a centralized fashion in the background. Dynamic throttling can lower the load without ove...

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Bibliographic Details
Main Authors Karp, Daniel Geoffrey, Shi, Arthur Kelvin, Nabar, Kunal Prafulla, Radut, Rares, Harjono, Johan
Format Patent
LanguageEnglish
Published 07.03.2023
Subjects
CALCULATING
COMPUTING
COUNTING
ELECTRIC DIGITAL DATA PROCESSING
PHYSICS
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Summary:Techniques described herein can optimize usage of computing resources in a data system. Dynamic throttling can be performed locally on a computing resource in the foreground and autoscaling can be performed in a centralized fashion in the background. Dynamic throttling can lower the load without overshooting while minimizing oscillation and reducing the throttle quickly. Autoscaling may involve scaling in or out the number of computing resources in a cluster as well as scaling up or down the type of computing resources to handle different types of situations.
Bibliography:Application Number: US202117463366