公开(公告)号：US20180004869A1

公开(公告)日：2018-01-04

申请号：US15544732

申请日：2015-12-21

Applicant: NEC CORPORATION

Inventor： Masato ASAHARA ,  Takeshi YOSHIMURA

IPC: G06F17/50 ,  G06F11/34 ,  G06F9/50

CPC classification number: G06F17/5009 ,  G06F9/50 ,  G06F9/5083 ,  G06F11/3006 ,  G06F11/3442 ,  G06F11/3447 ,  G06N7/005 ,  G06N20/00

Abstract: An output device 10 is provided with an output unit 11 for outputting, on the basis of job feature information indicating the features of the job of a distributed processing system, estimation model application information that is information in a format suitable for an estimation model that estimates the amount of computer resources required for processing a task constituting the job. The estimation model application information may include word-containing information having binary information that indicates whether or not a character string indicated by the character string information included in the job feature information includes a prescribed word. The estimation model application information may include numerical inversion label information having, as string label information, a value derived by converting, by a prescribed function, the numeric value indicated by the numerical information included in the job feature information.

公开(公告)号：US20160378557A1

公开(公告)日：2016-12-29

申请号：US14902428

申请日：2014-05-16

Applicant: NEC CORPORATION

Inventor： Masato ASAHARA

IPC: G06F9/50 ,  H04L12/26 ,  H04L29/08

CPC classification number: G06F9/5027 ,  G06F11/3003 ,  G06F11/3433 ,  G06F11/3466 ,  G06F2201/865 ,  H04L43/0817 ,  H04L43/10 ,  H04L67/1002 ,  H04L67/1008 ,  H04L67/1034

Abstract: A distributed system (3000) includes processing servers (3200). A task is allocated to a processing server (3200). A speed information acquisition unit (2020) acquires speed information, which is information relating to a processing speed of the task in execution on the processing server (3200). An abnormality determination unit (2040) determines whether or not a processing speed of a task to be determined is abnormal using the speed information. When the processing speed of the task to be determined is determined to be abnormal by the abnormality determination unit (2040), an allocation exclusion unit (2060) temporarily excludes the processing server (3200) to which the task is allocated, from allocation targets of a new task.

Abstract translation: 分布式系统（3000）包括处理服务器（3200）。 任务被分配给处理服务器（3200）。 速度信息获取单元（2020）获取与在处理服务器（3200）上执行的任务的处理速度相关的信息的速度信息。 异常判定单元（2040）使用该速度信息来判定要确定的任务的处理速度是否异常。 当通过异常判定单元（2040）将要确定的任务的处理速度判断为异常时，分配排除单元（2060）从分配对象中的分配目标临时排除分配了任务的处理服务器（3200） 一个新的任务。

公开(公告)号：US20200319936A1

公开(公告)日：2020-10-08

申请号：US16759202

申请日：2018-10-25

Applicant: NEC CORPORATION

Inventor： Masato ASAHARA

IPC: G06F9/50 ,  G06N20/00

Abstract: A distributed processing management apparatus 10 is connected to a plurality of execution servers 20 so as to be able to communicate with the execution servers 20. The distributed processing management apparatus 10 is provided with a conversion instruction unit 11 configured to specify, for each execution server 20, a data format usable by a machine learning engine executed by the execution server 20, and issue an instruction to convert a data format of data held by the execution server 20 to the specified data format.

公开(公告)号：US20210103472A1

公开(公告)日：2021-04-08

申请号：US16608113

申请日：2018-04-09

Applicant: NEC CORPORATION

Inventor： Akihiro YABE ,  Masato ASAHARA ,  Ryohei FUJIMAKI

IPC: G06F9/50 ,  G06F9/48

Abstract: A computational resource management apparatus is for managing a cluster system that executes a plurality of tasks. The computational resource management apparatus includes a condition specification unit that specifies a relationship between computational resources of the cluster system and computation time, a dependency relationship between tasks, and an execution time limit of each task, and a scheduling unit that determines, for each task, an execution sequence and computational resources to be allocated from among the computational resources of the cluster system, based on the relationship between the computational resources and computation time and the dependency relationship that are specified, such that the execution time limit is met.

公开(公告)号：US20200057948A1

公开(公告)日：2020-02-20

申请号：US16346004

申请日：2017-10-05

Applicant: NEC CORPORATION

Inventor： Ryohei FUJIMAKI ,  Yukitaka KUSUMURA ,  Masato ASAHARA ,  Yusuke MURAOKA

IPC: G06N5/04 ,  G06F16/22 ,  G06N20/00

Abstract: A feature design unit 81 designs, from relational data, a feature as a variable likely to affect an objective variable. A feature generating unit 82 generates the designed feature, from the relational data. A learning unit 83 learns a prediction model, on the basis of the generated feature.

公开(公告)号：US20190079796A1

公开(公告)日：2019-03-14

申请号：US16085097

申请日：2017-04-27

Applicant: NEC Corporation

Inventor： Masato ASAHARA ,  Akihiro YABE ,  Kyota KANNO ,  Ryohei FUJIMAKI

IPC: G06F9/48 ,  G06F9/50 ,  G06F11/34 ,  G06N7/00

Abstract: Computational resource management device includes a model learning unit that uses a measured value of an execution time of data processing, a measured value of a deresource amount, and a feature of input data as training data to learn a model indicating relationship between the execution time and the resource, an execution time estimation unit that inputs, into the model, a feature of data scheduled to be input to calculate an estimated value of the execution time of the scheduled data processing, a resource amount calculation unit that uses the estimated value, a variation index indicating variation in the estimated value, and distribution of estimated residuals to calculate resource amount required in the scheduled data processing, and an execution plan creation unit that creates an execution plan of the scheduled data processing, based on the estimated value, the variation index, the distribution of estimated residuals, and the calculated resource amount.

公开(公告)号：US20170076307A1

公开(公告)日：2017-03-16

申请号：US15125267

申请日：2015-02-27

Applicant: NEC Corporation

Inventor： Yosuke MOTOHASHI ,  Satoshi MORINAGA ,  Ryohei FUJIMAKI ,  Riki ETO ,  Masato ASAHARA

IPC: G06Q30/02

CPC classification number: G06Q30/0206 ,  G06N7/005 ,  G06Q30/0202

Abstract: A price estimation device that can predict a price with a high degree of precision is disclosed. Said price estimation device has a price-predicting means that predicts a price pertaining to second information in a target second time period by applying rule information to said second information, which includes explanatory variables. Said rule information represents the relationship between the explanatory variables and the price, said relationship having been extracted on the basis of a first-information set comprising first information in which explanatory-variable values are associated with price values. The explanatory variables include an attribute that represents a length of time, determined on the basis of a first time period in which a specific event occurs, pertaining to a target object associated with the aforementioned first information or the abovementioned second information. The value of said attribute in the second information is the length of time between the first time period and the second time period, and the value of the attribute in the first information is the length of time between the first time period and a third time period associated with the abovementioned price.

Abstract translation: 公开了可以高精度地预测价格的价格估计装置。 所述价格估计装置具有价格预测装置，其通过将规则信息应用于包括解释变量的所述第二信息来预测与目标第二时间段中的第二信息有关的价格。 所述规则信息表示解释变量和价格之间的关系，所述关系是基于包括解释变量值与价格值相关联的第一信息的第一信息集来提取的。 解释性变量包括表示基于与特定事件发生的第一时间段相关的与上述第一信息相关联的目标对象或上述第二信息确定的时间长度的属性。 第二信息中的所述属性的值是第一时间段和第二时间段之间的时间长度，第一信息中的属性值是第一时间段与第三时间段之间的时间长度 与上述价格相关。

公开(公告)号：US20160132359A1

公开(公告)日：2016-05-12

申请号：US14900718

申请日：2014-03-06

Applicant: NEC CORPORATION

Inventor： Masato ASAHARA ,  Kazuyo NARITA ,  Jianquan LIU

IPC: G06F9/50 ,  H04L12/26 ,  H04L29/08

CPC classification number: G06F9/5083 ,  G06F9/5088 ,  G06F11/3419 ,  G06F11/3452 ,  G06F2209/508 ,  H04L41/5009 ,  H04L43/50 ,  H04L67/10

Abstract: An abnormality detection apparatus (2000) handles tasks allocated to a plurality of processing servers (3200) as processing targets in a distribution system (3000) having the processing servers (3200). A history acquisition unit (2020) acquires progress history information which is information regarding progress of the plurality of tasks at a plurality of time point of recording. A target range determination unit (2040) determines a target range. A distribution calculation unit (2060) calculates a task speed distribution which is a probability distribution of processing speeds of the tasks using the progress history information regarding the plurality of tasks. An abnormality determination unit (2080) compares a processing speed of a task to be determined with the task speed distribution to thereby determine whether or not the processing speed of the task to be determined is abnormal.

Abstract translation: 异常检测装置（2000）处理分配给多个处理服务器（3200）的任务作为具有处理服务器（3200）的分发系统（3000）中的处理目标。 历史获取单元（2020）获取作为多个记录时刻的多个任务的进度信息的进度历史信息。 目标范围确定单元（2040）确定目标范围。 分配计算单元（2060）使用关于多个任务的进度历史信息来计算作为任务的处理速度的概率分布的任务速度分布。 异常确定单元（2080）将要确定的任务的处理速度与任务速度分布进行比较，从而确定要确定的任务的处理速度是否异常。