Developing an accurate dispersed storage network memory performance model through training
First Claim
1. A computing device comprising:
- an interface configured to interface and communicate with a dispersed or distributed storage network (DSN);
memory that stores operational instructions; and
a processing module operably coupled to the interface and to the memory, wherein the processing module, when operable within the computing device based on the operational instructions, is configured to;
receive a first plurality of samples corresponding to a plurality of inputs that characterize configuration of the DSN;
receive a second plurality of samples corresponding to a plurality of outputs that characterize system behavior of the DSN; and
process the first plurality of samples and the second plurality of samples to generate a DSN model to generate predictive performance of the plurality of outputs based on various values of the plurality of inputs that characterize the configuration of the DSN.
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Accused Products
Abstract
A computing device includes an interface configured to interface and communicate with a dispersed or distributed storage network (DSN), a memory that stores operational instructions, and a processing module operably coupled to the interface and memory such that the processing module, when operable within the computing device based on the operational instructions, is configured to perform various operations. The computing device receives first samples corresponding to inputs that characterize configuration of the DSN and receives second samples corresponding to outputs that characterize system behavior of the DSN. The computing device then processes the first and samples to generate a DSN model to generate predictive performance of the outputs based on various values of the inputs. In some instances, the DSN model is based on a neural network model that employs the inputs that characterize the configuration of the DSN and generates the outputs that characterize system behavior of the DSN.
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Citations
15 Claims
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1. A computing device comprising:
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an interface configured to interface and communicate with a dispersed or distributed storage network (DSN); memory that stores operational instructions; and a processing module operably coupled to the interface and to the memory, wherein the processing module, when operable within the computing device based on the operational instructions, is configured to; receive a first plurality of samples corresponding to a plurality of inputs that characterize configuration of the DSN; receive a second plurality of samples corresponding to a plurality of outputs that characterize system behavior of the DSN; and process the first plurality of samples and the second plurality of samples to generate a DSN model to generate predictive performance of the plurality of outputs based on various values of the plurality of inputs that characterize the configuration of the DSN. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8)
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9. A method for execution by a computing device, the method comprising:
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receiving, via an interface of the computing device that is configured to interface and communicate with a dispersed or distributed storage network (DSN), a first plurality of samples corresponding to a plurality of inputs that characterize configuration of the DSN; receiving, via the interface of the computing device, a second plurality of samples corresponding to a plurality of outputs that characterize system behavior of the DSN; and processing the first plurality of samples and the second plurality of samples to generate a DSN model to generate predictive performance of the plurality of outputs based on various values of the plurality of inputs that characterize the configuration of the DSN. - View Dependent Claims (10, 11, 12, 13, 14, 15)
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Specification