HYPERPARAMETER AND NETWORK TOPOLOGY SELECTION IN NETWORK DEMAND FORECASTING
First Claim
1. A method of allocating resources in a networked environment, comprising:
- defining a pool of features that are usable in models that predict demand of network resources, wherein the pool of features includes at least one historical forecasting feature and at least one event forecasting feature;
generating, using a computer device, an optimal model using a subset of features selected from the pool of features;
predicting future demand on a network using the optimal model; and
allocating resources in the network based on the predicted future demand.
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Accused Products
Abstract
Approaches for optimizing network demand forecasting models and network topology using hyperparameter selection are provided. An approach includes defining a pool of features that are usable in models that predict demand of network resources, wherein the pool of features includes at least one historical forecasting feature and at least one event forecasting feature. The approach also includes generating, using a computer device, an optimal model using a subset of features selected from the pool of features. The approach further includes predicting future demand on a network using the optimal model. The approach additionally includes allocating resources in the network based on the predicted future demand.
50 Citations
20 Claims
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1. A method of allocating resources in a networked environment, comprising:
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defining a pool of features that are usable in models that predict demand of network resources, wherein the pool of features includes at least one historical forecasting feature and at least one event forecasting feature; generating, using a computer device, an optimal model using a subset of features selected from the pool of features; predicting future demand on a network using the optimal model; and allocating resources in the network based on the predicted future demand. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12)
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13. A computer program product for allocating resources in a networked environment, the computer program product comprising a computer readable storage medium having program instructions embodied therewith, the program instructions being executable by a computer device to cause the computer device to:
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select, by the computer device, a subset of features from a pool of features that includes at least one historical forecasting feature and at least one event forecasting feature; generate, by the computer device, an optimal model using the subset of features; predict, by the computer device, future demand on a network using the optimal model; and allocate, by the computer device, resources in the network based on the predicted future demand. - View Dependent Claims (14, 15, 16, 17)
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18. A system for determining an optimal resource allocation in a networked environment, comprising:
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a CPU, a computer readable memory and a computer readable storage medium; program instructions to define a plurality of logical partitions of network resources; program instructions to determine the optimal resource allocation using an evolutionary algorithm process and the plurality of logical partitions; and program instructions to allocate network resources based on the determined optimal resource allocation, wherein the program instructions are stored on the computer readable storage medium for execution by the CPU via the computer readable memory. - View Dependent Claims (19, 20)
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Specification