Invention Grant
- Patent Title: Hyperparameter and network topology selection in network demand forecasting
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Application No.: US14247599Application Date: 2014-04-08
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Publication No.: US10439891B2Publication Date: 2019-10-08
- Inventor: Aaron K. Baughman , Brian M. O'Connell , Michael Perlitz , Stefan A. G. Van Der Stockt
- Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
- Applicant Address: US NY Armonk
- Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
- Current Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
- Current Assignee Address: US NY Armonk
- Agency: Roberts Mlotkowski Safran Cole & Calderon, P.C.
- Agent William Hartwell; Andrew M. Calderon
- Main IPC: G06F9/44
- IPC: G06F9/44 ; G06N7/02 ; G06N7/06 ; H04L12/24 ; G06N3/12

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.
Public/Granted literature
- US20150288573A1 HYPERPARAMETER AND NETWORK TOPOLOGY SELECTION IN NETWORK DEMAND FORECASTING Public/Granted day:2015-10-08
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