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公开(公告)号：US11481598B2
公开(公告)日：2022-10-25
申请号：US15822439
申请日：2017-11-27
摘要： A computer-implemented method for creating an auto-scaled predictive analytics model includes determining, via a processor, whether a queue size of a service master queue is greater than zero. Responsive to determining that the queue size is greater than zero, the processor fetches a count of requests in a plurality of requests in the service master queue and a type for each of the requests. The processor derives a value for time required for each of the requests and retrieves a number of available processing nodes based on the time required for each of the requests. The processor then auto-scales a processing node number responsive to determining that a total execution time for all of the requests in the plurality of requests exceeds a predetermined time value and outputs an auto-scaled predictive analytics model based on the processing node number and queue size.
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公开(公告)号：US10348892B2
公开(公告)日：2019-07-09
申请号：US15182960
申请日：2016-06-15
摘要： A computer-implemented method includes identifying a mobile phone. The method includes identifying one or more input devices. The one or more input devices are associated with the mobile phone. The method includes collecting behavior information from the input devices. The method includes applying machine learning to the behavior information to yield a schedule.
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公开(公告)号：US20190164033A1
公开(公告)日：2019-05-30
申请号：US15822439
申请日：2017-11-27
摘要： A computer-implemented method for creating an auto-scaled predictive analytics model includes determining, via a processor, whether a queue size of a service master queue is greater than zero. Responsive to determining that the queue size is greater than zero, the processor fetches a count of requests in a plurality of requests in the service master queue, and a type for each of the requests. The processor derives a value for time required for each of the requests, and retrieves a number of available processing nodes based on the time required for each of the requests. The processor then auto-scales a processing node number responsive to determining that a total execution time for all of the requests in the plurality of requests exceeds a predetermined time value, and outputs an auto-scaled predictive analytics model based on the processing node number and queue size.
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公开(公告)号：US20170366665A1
公开(公告)日：2017-12-21
申请号：US15182960
申请日：2016-06-15
CPC分类号： H04M3/432 , H04M1/64 , H04M1/663 , H04M1/72569 , H04M3/436 , H04M2203/556 , H04M2242/28 , H04M2250/12
摘要： A computer-implemented method includes identifying a mobile phone. The method includes identifying one or more input devices. The one or more input devices are associated with the mobile phone. The method includes collecting behavior information from the input devices. The method includes applying machine learning to the behavior information to yield a schedule.
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