Abstract: 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.

Abstract: An information processing apparatus configured to control authority, the apparatus including a log-in-sequence storage configured to store a log-in ID used to log in the apparatus and a search user ID that is searched for when the apparatus is logged in using the log-in ID in association with each other; a log-in processor configured to accept a log-in ID, and if a search user ID associated with the log-in ID is present in the log-in-sequence storage, to receive the search user ID from an authentication device in the vicinity of the information processing apparatus; and an operation-state reproducer configured to output the screen of an operation state corresponding to the log-in ID received by the log-in processor and the received search user ID with reference to a cooperation-history information table in which log-in IDs and search user IDs are recorded in association with operation states.

Abstract: A modeling support system is provided in which a model structure is extracted from stored models so as to improve a resulting prediction model using the extracted structure. In a modeling support system 1, when information processors 15a to 15c analyze a phenomenon using covariance structure for modeling and request the modeling support system 1 for supporting the modeling, a model controller 4 acquires and controls observed variables, latent variables, and the associations between the variables of the object model. Then, a similar structure extractor 78 of a model extractor 7 compares the object model with reference models stored in a model recorder, and extracts a partial structure of the reference model having a structure similar to a partial structure of the object model as a similar structure, and then the model controller notifies the extracted similar structure to the information processor.

Abstract: An analysis apparatus includes a history analysis part analyzing the trend based on the access log and deriving the latent trait to an access destination, a principal components analysis part analyzing principal components of the frequency distribution of the access, a classification part classifying the correlation of the principal components into plural classes, an event recording part recording the events to induce to the access destination, a first generating part generating a latent trait principal component table; a second generating part generating a class construction ratio table stored the class as the result of classification,a third generating part generating an event classification table stored the class and the contents of the event, and an analysis result recording part recording the latent trait principal component table, the class construction ratio table and the event classification table, as an event feature model of the effect on the execution of the event.

Abstract: A model creation support system includes a model managing part that acquires and accumulates an identifier of a model, data indicating a phenomenon, data indicating a regression equation, and evaluation data from an information processing apparatus that predicts or analyzes the phenomenon, using a model represented by the regression equation, a factor value extracting part that generates and records factor value data indicating the degree to which the factor contributes to the model from the accumulated data, and a model proposing part that refers to the factor value data based on a request for supporting model creation and model condition data received from the information processing apparatus, thereby generating and outputting support data containing a factor capable of contributing to the model to the information processing apparatus. Thus, information on factors of the model can be accumulated and utilized for enhancement of the fitting degree of the model.

Abstract: A user state presumption system includes a category storage, a transition model recorder, a log receiver, a log abstracting par, a behavior categorizing part, a category presuming part, a transition probability storage, a transition probability calculator, an intended behavior judging part; an intended behavior probability recorder; and an intended behavior probability calculator.

Abstract: A sensor information management system is connected to a network including a plurality of sensors and a computer including a service providing unit for providing services using data presented by at least one of the plurality of sensors. The sensor information management system includes: a sensor profile information record unit for recording sensor profile information; a sensor request information record unit for recording sensor request information; a scenario record unit for recording scenario data; a scenario generation unit for determining an operation for allowing the sensor, and recording the scenario data including the operation; and a scenario management unit for generating a control signal for allowing each sensor and transmitting the generated signal to the each sensor.

Abstract: A calculation device calculates information relating to a processing speed for a plurality of processing devices which execute various kinds of process in response to a request from a process request device. The calculation device includes a response time calculation part which calculates a response time for each processing device, based on a time which each processing device needs for the process, a permissible time calculation part which calculates a permissible time for each item of identification information corresponding to the process request device, based on a time from a start of a request for the process, from the process request device to the processing device, to an interruption of the request for the process, and a calculation part which calculates information relating to a processing speed, for each processing device, for each item of identification information.

Abstract: 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.

Abstract: A service evaluation system that evaluates a service in an IT system providing the service to a service user using an IT resource operated by a service operator includes a log acquisition part that acquires log data of the IT resource from a log data storage part, an interpretation data storage part that stores interpretation condition data representing a standard for interpreting the log data and interpretation result data representing a use state of the service by the service user, associated with the interpretation condition data, and a log evaluation part that extracts and outputs the interpretation result data stored in the interpretation data storage part, when the log data acquired by the log acquisition part satisfies the standard represented by the interpretation condition data.

Abstract: 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 f

Abstract: Method for making delivery of products more efficient, and having deliveries made that are convenient for delivery recipients. When a user (delivery recipient 3) purchases a product from a vendor and applies for delivery, a management server 4 accepts a delivery application from a vendor client 1. The management server 4 notifies the delivery recipient client 3 of the application for delivery, and prompts the user to designate delivery terms. For example, a delivery terms designation form is provided on a web page, and the URL for that web page is provided in the application for delivery notification. The delivery recipient client 3 accesses the web page and refers to a list of products to be delivered to him or herself. Moreover, the delivery recipient designates delivery terms when he or she is certain of his or her schedule. A delivery business is notified of these delivery terms.

Abstract: 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.

Abstract: 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.

Abstract: A management policy evaluation system for evaluating a management policy includes: a demand recording part for recording demand data representing a change in a value of a demand in a predetermined period; a supply recording part for recording supply data representing a change in a value of a supply in the predetermined period; a calculation part for comparing the demand data with the supply data, so as to calculate shortage/surplus data representing a change in shortage/surplus of an IT resource with respect to the demand in the predetermined period; and an evaluation part for generating evaluation data representing a loss or a profit to be created when the IT resource is assigned based on the management policy.

Abstract: A surplus determination system for determining a presence/absence of a surplus in an IT resource managed by an IT resource management system includes a recording part for recording working data representing a working situation of the IT resource, a recording part for recording a surplus determination rule representing a requirement of the working situation for the IT resource to be determined to have a surplus, and a surplus determining part for determining that there is a surplus in the case where the working situation represented by the working data satisfies the requirement of the working situation represented by the surplus determination rule, based on the working data and the surplus determination rule.

Abstract: An IT resource evaluation system connected to a management system for managing a plurality of IT resources working in a plurality of business systems, include a recording part for recording supply-and-demand data representing a transition of a demand or a supply of an IT resource in an entire business system, an accumulating part for accumulating actual dealing data containing a supply price, an IT resource data input part for inputting IT resource data regarding an IT resource to be evaluated, and an evaluating part for calculating value data representing a supply price in the case where an IT resource is supplied, based on supply-and-demand data, actual dealing data, and the IT resource data.

Abstract: 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.

Abstract: A combination of target product, difference between forecasted sales and previous year's sales performance, and data for explaining a reason as negotiation factor data is stored in a database. Moreover, a combination of target product, difference between desired procurement quantity condition and previous year's contract performance, and data for explaining a reason as a negotiation factor is stored in the database. Whether to perform persuasion type negotiation or automatic negotiation between a hotel and a wholesaler is decided based on a difference between other party's proposal and previous year's contract performance, a difference between self-procurement condition and previous year's contract performance, and a negotiation factor.

Abstract: A repair component is specified based on repair request information including at least failure information of a product to be repaired and a desired repair fee. A component information database and an owner information database are searched based on the specified repair product, whereby component providing candidates owning a product including the repair component are selected. A purchase reference price is input based the desired repair fee to notify the component providing candidates of the purchase reference price. An evaluation value is calculated which is an index for evaluating a residual value of the repair component on the component providing candidate basis from selling component information containing a desired selling price, and a component providing candidate that provides a repair component having the highest evaluation value is selected as a component provider. A repair fee is input, and the repair requester is notified of repair information containing the repair fee.