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    • 21. 发明授权
    • System for managing computers and pieces of software allocated to and executed by the computers
    • 用于管理由计算机分配和执行的计算机和软件的系统
    • US08751653B2
    • 2014-06-10
    • US11390190
    • 2006-03-28
    • Yasuhide MatsumotoMasatomo YasakiMasashi Uyama
    • Yasuhide MatsumotoMasatomo YasakiMasashi Uyama
    • G06F11/00
    • G06F9/5088G06F11/00Y02D10/32
    • A management system for managing a plurality of computers and a plurality of pieces of software in a computer center includes: a selection data storage part for storing data regarding allocation destination selection, the data including at least either one of operation data and temperature data, wherein the operation data represent states of execution of the pieces of software by the computers, respectively, and temperature data represent temperature distribution in the computers; an instruction generation part for extracting an overheated computer that is assumed to emit more heat as compared with the other computers, and a less-heated computer that is assumed to emit less heat as compared with the other computers, by using the data regarding allocation destination selection, and generating an instruction for relocating at least a part of a piece of software allocated to the overheated computer to the less-heated computer; and an instruction part for outputting the instruction. This makes it possible to save energy for cooling the computers.
    • 一种用于在计算机中心中管理多个计算机和多个软件的管理系统包括:选择数据存储部分,用于存储关于分配目的地选择的数据,所述数据包括操作数据和温度数据中的至少一个,其中 操作数据分别表示由计算机执行软件的状态,温度数据表示计算机中的温度分布; 用于提取与其他计算机相比被假定为发热更多的过热计算机的指令生成部件,以及与其他计算机相比发热量较少的较少加热的计算机,通过使用关于分配目的地的数据 选择,并且生成用于将分配给过热计算机的一块软件的至少一部分重定位到较少加热的计算机的指令; 以及用于输出指令的指令部分。 这样可以节省用于冷却电脑的能量。
    • 22. 发明申请
    • Unexpected demand detection system and unexpected demand detection program
    • 意外需求检测系统和意外需求检测程序
    • US20070130357A1
    • 2007-06-07
    • US11359494
    • 2006-02-23
    • Yasuhide MatsumotoMasatomo YasakiMasashi Uyama
    • Yasuhide MatsumotoMasatomo YasakiMasashi Uyama
    • G06F15/16
    • G06Q10/06315H04L41/0893H04L41/5025
    • An unexpected demand detection system for detecting an unexpected demand for IT resources includes: a demand model recording part that records a demand model representing a time-based transition in a predetermined time period of a required amount of the IT resources; an unexpected demand model recording part that records an unexpected demand model representing a time-based transition different from the time-based transition of the amount of the IT resources represented by the demand model; and a judging part that performs a comparison among observation data indicating an actual demand for the IT resources observed in the predetermined time period, the amount of the IT resources represented by the demand model, and an amount of the IT resources represented by the unexpected demand model thereby to judge whether an unexpected demand represented by the unexpected demand model occurs.
    • 用于检测IT资源的意外需求的意外需求检测系统包括:在所需IT资源量的预定时间段内记录表示基于时间的转换的需求模型的需求模型记录部分; 记录意外需求模型的意外需求模型记录部分,其表示与由需求模型表示的IT资源量的基于时间的过渡不同的基于时间的转换; 以及判断部,其对表示在规定时间段内观察到的IT资源的实际需求的观察数据,由需求模型表示的IT资源的量与由意外需求表示的IT资源的量进行比较 从而判断是否发生意外需求模型所表示的意外需求。
    • 26. 发明授权
    • Event type estimation system, event type estimation method, and event type estimation program stored in recording media
    • 事件类型估计系统,事件类型估计方法和存储在记录介质中的事件类型估计程序
    • US07904330B2
    • 2011-03-08
    • US11943201
    • 2007-11-20
    • Masashi UyamaYasuhide MatsumotoMasatomo Yasaki
    • Masashi UyamaYasuhide MatsumotoMasatomo Yasaki
    • G06F17/00
    • G06Q30/0202H04L41/147H04L43/00H04L43/067H04L43/16
    • An event type estimation system includes a log aggregation unit that generates time-series data representing the fluctuation in traffic to a site from log data, a deviation testing unit that extracts an interval showing an anomalous fluctuation from the time-series data, a waveform decomposition unit that optimizes a peak waveform, a normal waveform and a vertical waveform set by a waveform setting unit, in order to approximate the fluctuation in traffic in the interval extracted by the deviation testing unit with a composite of the peak waveform, the normal waveform and the vertical waveform, and an event determination unit that determines the type of event that caused the anomalous fluctuation, based on the waveforms optimized by the waveform decomposition unit and the rules of a rule recording unit. The event type estimation system is thereby able to extract access fluctuation anomalies from log data and estimate the type of event that caused the anomalous fluctuation.
    • 事件类型估计系统包括:日志聚合单元,其从日志数据生成表示与站点的流量波动的时间序列数据;偏差测试单元,从时间序列数据中提取表示异常波动的间隔;波形分解 单位,其优化由波形设定单元设定的峰值波形,正常波形和垂直波形,以便用偏差测试单元提取的间隔中的交通波动近似,其中峰值波形,正常波形和 垂直波形和事件确定单元,其基于由波形分解单元优化的波形和规则记录单元的规则来确定引起异常波动的事件的类型。 因此,事件类型估计系统能够从日志数据中提取访问波动异常并且估计引起异常波动的事件的类型。