Elastic power scaling
OwnerFrancesc Guim Bernat, Uzair Qureshi +3inventors
InventorsFrancesc Guim Bernat, Uzair Qureshi, Lokpraveen Mosur, Kshitij Arun Doshi, Ned M. Smith
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Abstract
Various aspects of methods, systems,and use cases include coordinating actions at an edge device based on power production in a distributed edge computing environment. Systems and methods may be used to an edge device based on power production. A method may include predicting power harvesting of an edge device over a period of time. The method may determine an optimized timeframe among various timeframes for performing a task based on the predicted power harvesting. The method may include outputting or an indication for use by an implementing edge device.
Claims25
A system to coordinate operation of an edge device based on power production comprising:
- memory including instructions;
- an orchestrator device including processing circuitry, the processing circuitry to execute the instructions including operations to:
- estimate power available to be harvested at an edge device over a future time period using a machine learned model;
- identify a set of tasks to be executed during the future time period;
- determine an optimized timeframe among multiple timeframes to perform a task of the set of tasks at the edge device based on the predicted power available to be harvested;
- and
- provide an indication of the optimized timeframe, the task, and configuration settings to the edge device.
The system of claim ,he in machine learning model is a long short term memory recurrent neural network.
A method for coordinating operation of an edge device based on power production, the method comprising:
- at an orchestrator device including processing circuitry,using a machine learning model to estimate power available to be harvested at an edge device over a future time period;
- identifying a set of tasks to be executed during the future time period;
- determining an optimized timeframe among multiple timeframes for performing a task of the set of tasks at the edge device based on the estimated available power to be harvested;
- and
- providing an indication of the optimized timeframe, the task, and configuration settings to the edge device.
A system to coordinate operation of an edge device based on power production comprising:
- memory including instructions;
- an orchestrator device including processing circuitry, the processing circuitry to execute the instructions including operations to:
- receive a task to be executed at an edge device, the ask including a renewable energy requirement in power quality of service data;
- estimate power available to be harvested at the edge device over a future e period using a machine learned model;
- determine an optimized timeframe among multiple timeframes to perform the task at the edge device based on the estimated power available to be harvested and the renewable energy requirement;
- and
- provide an indication of the optimized eframe, the task, and figuration settings to the edge device.
At least one non-transitory machine-readable medium including instructions for coordinating operation of an edge device based on power production, which when deployed and executed by a processor of an orchestrator device, cause the processor to:
- estimate available power to be harvested at an edge device over a future time period using a machine learning model;
- identify a set of tasks to be executed during the future time period;
- determine an optimized timeframe among multiple timeframes to perform a task of the set of tasks at the edge device based on the estimated available power to be harvested;
- and
- provide an indication of the optimized timeframe, the task, and configuration settings to the edge device.
Dependencies are inferred from the claim text.