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公开(公告)号：US11138514B2
公开(公告)日：2021-10-05
申请号：US15467847
申请日：2017-03-23
Applicant: Futurewei Technologies, Inc.
IPC: G06N20/00
Abstract: An apparatus and method are provided for review-based machine learning. Included are a non-transitory memory storing instructions and one or more processors in communication with the non-transitory memory. The one or more processors execute the instructions to receive first data, generate a plurality of first features based on the first data, and identify a first set of labels for the first data. A first model is trained using the first features and the first set of labels. The first model is reviewed to generate a second model, by receiving a second set of labels for the first data, and reusing the first features with the second set of labels in connection with training the second model.
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公开(公告)号：US20180255137A1
公开(公告)日：2018-09-06
申请号：US15448444
申请日：2017-03-02
Applicant: Futurewei Technologies, Inc.
CPC classification number: H04L67/1097 , H04L63/083 , H04L63/102 , H04L67/30 , H04L69/321
Abstract: A mobile device, computer readable medium, and method are provided for allocating resources within a cloud. The method includes the steps of collecting profile data from a plurality of resource agents and allocating a number of resource units to each resource agent in the plurality of resource agents based on the collected profile data. The allocating may be performed via a resource manager in communication with the plurality of resource agents.
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公开(公告)号：US10419437B2
公开(公告)日：2019-09-17
申请号：US15640080
申请日：2017-06-30
Applicant: Futurewei Technologies, Inc.
Abstract: A system, computer readable medium, and method are provided for a resource management in a cloud architecture. The method includes the steps of collecting a first time stamped data (TSD), and a second TSD, and generating a prediction model based on the first TSD and the second TSD. The method further includes collecting a third TSD, and predicting a fourth TSD based on the prediction model and the third TSD. With more data are obtained via the prediction, the resource management is more efficient and accurate.
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Patent Agency Ranking
公开(公告)号：US20180285764A1
公开(公告)日：2018-10-04
申请号：US15473232
申请日：2017-03-29
Applicant: Futurewei Technologies, Inc.
Abstract: An apparatus and method are provided for a managed knowledge network platform (KNP). Model dissimilarity values for model pairs are obtained, each model pair including a first model of a plurality of models in a KNP and a different model in the plurality of models. Path lengths between a first model node of a plurality of model nodes in the KNP and each one of other model nodes are computed, where the first model node represents the first model and the first model node is connected to a first user node of a plurality of user nodes representing users of the KNP. At least one of the different models is selected based on the model dissimilarity values and the path lengths. A recommendation that includes the at least one model is generated for a first user represented by the first user node.
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公开(公告)号：US20180255122A1
公开(公告)日：2018-09-06
申请号：US15448451
申请日：2017-03-02
Applicant: Futurewei Technologies, Inc.
IPC: H04L29/08 , H04W72/04 , H04L12/911
CPC classification number: H04L47/72 , G06F8/60 , G06F9/445 , G06F9/45558 , G06F11/30 , H04L41/046 , H04L41/0896 , H04L41/147 , H04L41/16 , H04L43/08 , Y02D70/00
Abstract: A mobile device, computer readable medium, and method are provided for allocating resources within a cloud. The method includes the steps of receiving metrics data associated with one or more tasks, training one or more models based on the metrics data to predict scores for tasks executed with a particular number of resource units, receiving a request that specifies a first task for processing a dataset, determining an optimal number of resource units to allocate to the first task based on predicted scores output by a first model, and allocating the optimal number of resource units to a resource agent in the cloud to manage the execution of the first task. The metrics data, which is collected by a plurality of cognitive agents, is received by a cognitive engine service in communication with the plurality of cognitive agents deployed in the cloud.
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公开(公告)号：US20180097744A1
公开(公告)日：2018-04-05
申请号：US15286313
申请日：2016-10-05
Applicant: Futurewei Technologies, Inc.
IPC: H04L12/911 , G06N5/02 , H04L29/08
CPC classification number: H04L47/823 , G06N20/00 , H04L67/1002
Abstract: A method implemented in a cloud-based data system includes a central controller receiving time-stamped reports from a plurality of agents including a server status and a server resource usage, calculating a number of active servers and a sum of resource usage on each server per interval based on each time-stamped report, generating a prediction model based on data results generated from calculating the number of active servers and the sum of resource usage per interval, predicting a number of servers needed in the cloud-based system based on the prediction model, generating a forecasting model to forecast an amount of resource usage at a future date, based on time series data associated with calculating the sum of resource usage over multiple intervals, and using the prediction model to predict whether a different number of servers is needed at the future date based on the forecasted amount of resource usage.
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公开(公告)号：US11100406B2
公开(公告)日：2021-08-24
申请号：US15473232
申请日：2017-03-29
Applicant: Futurewei Technologies, Inc.
Abstract: An apparatus and method are provided for a managed knowledge network platform (KNP). Model dissimilarity values for model pairs are obtained, each model pair including a first model of a plurality of models in a KNP and a different model in the plurality of models. Path lengths between a first model node of a plurality of model nodes in the KNP and each one of other model nodes are computed, where the first model node represents the first model and the first model node is connected to a first user node of a plurality of user nodes representing users of the KNP. At least one of the different models is selected based on the model dissimilarity values and the path lengths. A recommendation that includes the at least one model is generated for a first user represented by the first user node.
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公开(公告)号：US20180276560A1
公开(公告)日：2018-09-27
申请号：US15467847
申请日：2017-03-23
Applicant: Futurewei Technologies, Inc.
IPC: G06N99/00
CPC classification number: G06N20/00
Abstract: An apparatus and method are provided for review-based machine learning. Included are a non-transitory memory storing instructions and one or more processors in communication with the non-transitory memory. The one or more processors execute the instructions to receive first data, generate a plurality of first features based on the first data, and identify a first set of labels for the first data. A first model is trained using the first features and the first set of labels. The first model is reviewed to generate a second model, by receiving a second set of labels for the first data, and reusing the first features with the second set of labels in connection with training the second model.
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