US Patent Application 17722147. METHOD AND SYSTEM FOR MANAGING A DISTRIBUTED MULTI-TIERED COMPUTING ENVIRONMENT BASED ON LOAD PREDICTIONS simplified abstract

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METHOD AND SYSTEM FOR MANAGING A DISTRIBUTED MULTI-TIERED COMPUTING ENVIRONMENT BASED ON LOAD PREDICTIONS

Organization Name

Dell Products L.P.


Inventor(s)

William Jeffery White of Plano TX (US)


Said Tabet of Austin TX (US)


METHOD AND SYSTEM FOR MANAGING A DISTRIBUTED MULTI-TIERED COMPUTING ENVIRONMENT BASED ON LOAD PREDICTIONS - A simplified explanation of the abstract

  • This abstract for appeared for US patent application number 17722147 Titled 'METHOD AND SYSTEM FOR MANAGING A DISTRIBUTED MULTI-TIERED COMPUTING ENVIRONMENT BASED ON LOAD PREDICTIONS'

Simplified Explanation

The abstract describes a method for managing a distributed multi-tiered computing (DMC) environment. The method involves a global controller identifying a load management prediction event. In response to this event, the global controller obtains offline data from local controllers associated with different domains of the DMC environment. Load management predictions are generated using this offline data. The method further includes adjusting the scheduling policies of both the local controllers and the global controller based on these load management predictions. If it is determined that the load management predictions require infrastructure adjustments, the method initiates infrastructure capacity adjustment based on the predictions.


Original Abstract Submitted

Techniques described herein relate to a method for managing a distributed multi-tiered computing (DMC) environment. The method includes identifying, by a global controller, a load management prediction event; in response to identifying the load management prediction event: obtaining offline data from local controllers associated with a plurality of DMC domains of the DMC environment; generating load management predictions using the offline data; adjusting local controller scheduling policies based on the load management predictions; adjusting global controller scheduling policies based on the load management predictions; making a first determination that the load management predictions require infrastructure adjustments; and in response to the first determination: initiating infrastructure capacity adjustment based on the load management predictions.