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    • 3. 发明授权
    • Demand forecasting system for data center, demand forecasting method and recording medium with a demand forecasting program recorded thereon
    • 数据中心需求预测系统,需求预测方法和记录介质,其中记录了需求预测方案
    • US08260921B2
    • 2012-09-04
    • US11191989
    • 2005-07-29
    • Masashi UyamaMasatomo YasakiYouji Kohda
    • Masashi UyamaMasatomo YasakiYouji Kohda
    • G06F15/173
    • G06Q10/04G06Q10/06H04L41/147H04L41/5064H04L67/02H04L67/22H04L69/02
    • A demand forecasting system and a demand forecasting method capable of forecasting demands for IT resources in a data center accurately are provided. The demand forecasting system includes: a classification unit that classifies a plurality of users who use IT resources in a data center into a plurality of user's behavior classes; an event characteristics model generation unit that generates an event characteristics model representing a variation over time in a usage state of the IT resources caused by an event and the number of the users moving among the user's behavior classes caused by the event; an event influence calculation unit that calculates a predicted value of the variation over time in a usage state of the IT resources and a predicted value of the number of the users moving among the user's behavior classes that will be caused by an event scheduled to be held in the future using the event characteristics model; and a demand forecasting unit that calculates a variation in load on the IT resources.
    • 提供了能够准确地预测数据中心IT资源需求的需求预测系统和需求预测方法。 需求预测系统包括:分类单元,将在数据中心中使用IT资源的多个用户分类成多个用户的行为类别; 事件特征模型生成单元,其生成表示由事件引起的IT资源的使用状态以及在由该事件引起的用户的行为类别之间移动的用户的数量的随时间变化的事件特征模型; 事件影响计算单元,其计算IT资源的使用状态下的随时间的变化的预测值,以及在由被安排保持的事件引起的用户的行为类别中移动的用户数量的预测值 在未来使用事件特征模型; 以及计算IT资源负荷变化的需求预测单元。
    • 4. 发明授权
    • Time factor feature generation system, time factor feature generation method and time factor feature generation program
    • 时间因子特征生成系统,时间因子特征生成方法和时间因子特征生成程序
    • US08099322B2
    • 2012-01-17
    • US11873848
    • 2007-10-17
    • Satoru WatanabeYouji KohdaMasatomo YasakiYasuhide MatsumotoMasashi UyamaMitsuru OdaHiroki Ichiki
    • Satoru WatanabeYouji KohdaMasatomo YasakiYasuhide MatsumotoMasashi UyamaMitsuru OdaHiroki Ichiki
    • G06Q99/00
    • G06Q30/02G06Q10/063G06Q30/0241G06Q30/0242G06Q30/0251G06Q30/0272G06Q30/0277G06Q30/0601
    • A time factor feature generation system includes: a use status grasping portion that extracts transition data showing variations in degree of use of a site from log data; a variation data generating portion that generates, based on the transition data, variation data expressing the variations in degree of use of the site as a group Y of values showing the degree of use of the site; a time factor data recording portion in which a plurality of time factors and time factor values of each of the plurality of time factors are recorded; a time factor extracting portion that generates groups Di of time factor values, each of which corresponds to a time factor extracted from among the plurality of time factors; and a time factor feature generating portion 13 that calculates coefficients ai such that a square of an error b has a minimum value in an equation in which the groups Di and the group Y are used as an explaining variable and an explained variable, respectively, thereby to generate data showing a time factor feature of a use status of the site. By this configuration, the time factor feature generation system generates data quantitatively showing a time factor feature of a use status of a site.
    • 时间因素特征生成系统包括:使用状态抓取部,其从日志数据提取表示站点的使用程度的变化的过渡数据; 变化数据生成部,其基于所述过渡数据生成表示所述场所的使用程度的变化的变化数据,作为表示所述场所的使用程度的值的组Y; 时间因素数据记录部分,其中记录了多个时间因素中的每一个的多个时间因素和时间因子值; 时间因子提取部分,其生成时间因子值的组Di,每个时间因子值对应于从多个时间因子中提取的时间因子; 以及时间因子特征生成部13,其计算系数ai,使得误差b的平方分别在组Di和组Y被用作解释变量和解释变量的方程中具有最小值,由此 生成显示站点使用状态的时间因素特征的数据。 通过该配置,时间因子特征生成系统生成定量地显示站点的使用状态的时间因素特征的数据。