Fujitsu Corporation

Hiroshi Endo

Hiroyuki Fukuda

Masatoshi Ogawa

Masao Kondo

Hiroyoshi Kodama

Shigeto Suzuki

Shigeyoshi Umemiya

Toshihiro Ohki

Takuji Yamamoto

Satoshi Inano

Takahiro Arioka

Yukiko Wakino

Shino Tokuyo

Michiko Shiraga

Takashi Shiraishi

Toshihide Kikkawa

Hiroaki Yoshida

Takeo Kasajima

Kazuaki Karasawa

Yoshiyasu Doi

Koichi Shirahata

Yoshio Kikuchi

Ayasa So

A non-transitory computer-readable recording medium has stored therein a program that causes a computer to execute a process including: dividing a time from a start to an end of execution of a first job into a plurality of time periods, the time being represented in first power consumption information; calculating a cycle of a time-series variation of power consumption within each time period; generating, for each of the plurality of time periods, a prediction model for predicting power consumption of a predetermined future time; acquiring second power consumption information that is an actual measurement value of power consumption according to an elapsed time from a start of execution of a second job that is being executed; and predicting future power consumption of the second job, using the prediction model generated for a time period including the elapsed time from the start of execution of the second job to a present.

Job power predicting method and information processing apparatus

An apparatus calculates, based on attribute information of a new job and jobs that have been executed, a first similarity level of the attribute information between the new job and the jobs by using a calculation expression, identifies a job whose attribute information is most similar to that of the new job as a first candidate job, and estimates power consumption to be consumed by the new job at power consumption of the first candidate job. The apparatus calculates, for at least one of the jobs, a second similarity level of power consumption between the at least one of the jobs and the new job, identifies a job whose power consumption is most similar to that of the new job as a second candidate job, and adjusts the calculation expression to increase the first similarity level to be calculated between the new job and the second candidate job.

Estimation of power consumption for a job based on adjusted calculation of similarities between jobs

A data center management method executed by a computer that includes a first memory and a second memory, the method includes storing, in the second memory, a predicted value calculated based on measured values obtained as measurement data and differences each corresponding to the measurement data obtained a predetermined period ago; storing, in the first memory, the measurement data as the measured value; calculating, based on each of the stored measured values, an amount of change which is a difference between the measured value and the predicted value, and storing the calculated amount in the second memory; calculating first corrected prediction data based on the measured value currently measured and the measurement values previously measured; calculating second corrected prediction data based on previous amounts of change and the first corrected prediction data; and controlling the device using an operation amount calculated based on the second corrected prediction data.

Data center management method, management apparatus, and data center system

An information processing device includes: a memory configured to store a management program; and a processor coupled to the memory, wherein the processor, based on the management program, performs operations of: collecting operation status information stored in a storage of each of one or more information processing devices and related to an operation status of a calculation resource of each of the one or more information processing devices; determining whether the operation status information has periodicity based on the operation status information and a threshold; producing, when it is determined that the operation status information has periodicity, past activation information related to the operation status in a past duration in which the periodicity is present; and generates a prediction value of the operation status information based on the operation status information and the past activation information.

Determining periodicity of operation status information to predict future operation statuses of resources of the information processing devices

An apparatus stores plural pieces of reference data selected based on operation data input from a host OS executed by an information processing device. The apparatus selects one or more pieces of selection reference data from the plural pieces of reference data, based on a plurality of correlation coefficients which are calculated upon receiving a predictive demand and which respectively indicate correlations between predictive target reference data indicating reference data to be predicted and other reference data. The apparatus calculates predictive values of the predictive target reference data, based on the selected one or more pieces of selection reference data, and controls the plurality of calculation resources for the information processing device, based on the predictive values of the predictive target reference data and a predetermined reference value.

Apparatus and method to control calculation resources of an information processing device based on predictive values of reference data

A management device includes a memory and a processor coupled to the memory. The processor is configured to collect measurement data from sensors installed in respective measurement locations including outside an installation room in which an information processing device is installed, in a gas path in an air-conditioning system of the installation room, and inside the installation room, the measurement data being data measured by the respective sensors. The processor is configured to store the measurement data in the memory. The processor is configured to delete unnecessary data from the measurement data stored in the memory. The processor is configured to calculate a predicted value in at least one measurement location of the measurement locations on basis of the measurement data from which the unnecessary data is deleted. The predicted value is a value of data predicted to be measured by any of the sensors.

Management device and system for calculating a predicted value of a measurement location

An information processing apparatus includes a database configured to store a plurality of physical quantities in time-series, a processor, and a memory storing a program causing the processor to execute acquiring the plurality of physical quantities, selecting first explanatory variates, selecting second explanatory variates, generating past case data by acquiring the physical quantities corresponding to the objective variates and an input variate group of the first explanatory variates and the second explanatory variates, searching for predetermined pieces of past case data in the sequence from the shortest of the inter-vector distances, building up the second model from the input variate group in the predetermined pieces of searched past case data and from the objective variates, and predicting values of objective variates from the second model.

Physical quantities prediction apparatus and method

A data center includes a first rack, a second rack, a supply duct provided over a first space between the first and second rack, a first circulation duct including a first suction port disposed at an end side of the first rack and a first exhaust port disposed at the first space side and provided between an upper portion of the first rack and the supply duct so as to close up the first space, a second circulation duct including a second suction port disposed at an end side of the second rack and a second exhaust port disposed at the first space side and provided between an upper portion of the second rack and the supply duct so as to close up the first space, a first and second barrier that closes up the first space at one and the other end of the first and second rack, respectively.

Data center

A module-type data center includes: a casing having an intake vent and an exhaust vent; a rack accommodating an electronic device; an air blower configured to introduce outside air into the casing through the intake vent and pass air through the rack from one of surfaces of the rack to another one of the surfaces of the rack; a shielding-slat unit including a plurality of shielding slats configured to change between an open state and a closed state and drive devices configured to drive the corresponding shielding slats. An inner space of the casing is divided into a first space defined between the one surface of the rack and the intake vent, a second space defined between the other surface of the rack and the exhaust vent, and a third space defined above the rack and allowing the second space to communicate with the first space.

Module-type data center

A liquid immersion cooling apparatus that cools an electronic device including a heat generating element, the apparatus includes a liquid immersion tank that accommodates a cooling liquid and the electronic device to be immersed in the cooling liquid, a wall that is disposed within the liquid immersion tank, the wall having a protrusion protruding toward the electronic device, and a drive mechanism that moves a position of the protrusion along the electronic device.

Liquid immersion cooling apparatus, liquid immersion cooling system, and control method of liquid immersion cooling apparatus

A temperature management system includes a detection unit for detecting a temperature of a heat generator, power consumption, and an intake air temperature of the electronics device; a control unit for controlling a manipulated variable to be given to the cooling device so that the temperature of the heat generator becomes close to a target value, wherein the control unit includes controllers assigned respectively to operating ranges of the electronics device and each controller includes a prediction model for predicting a future temperature of the heat generator under conditions set for the corresponding operating range, and a vector distance between a first vector for a current state of the electronic device and a second vector for conditions included in the prediction model is calculated to select the controller that corresponds to the prediction model of the shortest vector distance.

Temperature prediction system using prediction models, temperature prediction method using prediction models, and non-transitory computer readable recording medium having therein program for temperature prediction using prediction models

A data center includes: a structure provided with an intake port at one side thereof and an exhaust port at the other side thereof; a rack disposed in the structure; an air blower configured to introduce outside air into the structure through the intake port to circulate the outside air from one side to the other side of the rack; a circulation passage configured to make a first space between the one side of the rack and the intake port and a second space between the other side of the rack and the exhaust port communicate with each other; a circulation amount control equipment disposed within the circulation passage; and an air circulation amount control device configured to control the circulation amount control equipment and an operation state of the electronic equipment such that the amount of the air which circulates the circulation passage is adjusted.

A management apparatus includes a processor configured to acquire a power consumption value of respective information processing apparatuses divided into groups. The processor is configured to calculate a total power consumption value of the respective groups. The total power consumption value of a group is a sum of the power consumption values of information processing apparatuses belonging to the group. The processor is configured to select a first group having a first total power consumption value which exceeds a first threshold. The processor is configured to select a first information processing apparatus belonging to the first group. The first information processing apparatus has a largest power consumption value among power consumption values of information processing apparatuses belonging to the first group. The processor is configured to move first virtual machines implemented by the first information processing apparatus to a second group among the groups.

Management apparatus and method of controlling information processing system

A data center includes: a liquid immersion tank that holds an information processing apparatus in a cooling liquid; a cooling apparatus that cools a pipe exposed to outside air and through which the cooling liquid flows from the liquid immersion tank; and a pump apparatus that delivers the cooling liquid from the cooling apparatus to the liquid immersion tank.

Data center with liquid immersion tank and control method of the data center based on temperature difference

A temperature management system includes: a first temperature detection unit configured to detect a temperature of a heat generation component in an electronic device; a cooling apparatus configured to circulate air in the electronic device and to cool the heat generation component; a second temperature detection unit configured to detect a temperature of air flowing in the electronic device; a parameter setting unit configured to set a target value of the temperature of the heat generation component; and a control unit. The control unit calculates a predicted value of a future temperature of the heat generation component based on the outputs of the first temperature detection unit and the second temperature detection unit, and the power consumption of the electronic device, and determines a manipulated variable of the cooling apparatus based on the predicted value and the target value.

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Isehara, Japan

Hiroshi Endo