Abstract: A communication management list generation device 20 generates a communication management list composed of communication management information including time of day information corresponding to a prescribed time of day and communication information indicating a communication process started at a prescribed time of day and not using the same path at the same time. The communication management list generation device is provided with: a determination means 21 for determining, regarding whether information on the communication process can be added to the communication information, each communication management information in descending order of time (early time first) corresponding to the time of day information; and an addition means 22 for adding information on the communication process to the communication information of the communication management information determined at a stage at which it was determined by the determination means 21 that addition is possible.

Abstract: The present invention provides an alteration procedure generation system, etc., with which it is possible to appropriately generate an alteration procedure for a system in which a dependence relationship exists between attributes constituting the system. This alteration procedure generation system includes a calculation means for adding, to a sum total of the number of procedures per attribute that are required for alteration of the attribute value of an attribute constituting a system that is in a prescribed state to the attribute value of the attribute constituting the system that in an intended state to which to be altered, the number of attributes less than a prescribed value that the attribute values of other attributes are altered by the alteration, and subtracting the prescribed value from the sum total, thereby calculating an estimated arrival distance.

Abstract: A communication management list generation device 20 generates a communication management list composed of communication management information including time of day information corresponding to a prescribed time of day and communication information indicating a communication process started at a prescribed time of day and not using the same path at the same time. The communication management list generation device is provided with: a determination means 21 for determining, regarding whether information on the communication process can be added to the communication information, each communication management information in descending order of time (early time first) corresponding to the time of day information; and an addition means 22 for adding information on the communication process to the communication information of the communication management information determined at a stage at which it was determined by the determination means 21 that addition is possible.

Abstract: Provided is an apparatus including: inspection target network information acquisition unit that acquires a transfer rule at a switch and physical network topology information about an inspection target network; backtrace function generation unit that generates, based on the transfer rule, a backtrace function that calculates a packet pattern of a packet being input to a port of a switch; physical link path acquisition unit that acquires, based on the physical network topology information and the transfer rule, a physical link path representing a series of ports from an incoming port to an outgoing port; backtrace function application unit that calculates a packet pattern at the incoming port of a packet that reaches the outgoing port, by sequentially applying the backtrace function with using a packet pattern cache storing the packet pattern at an intermediate port in the physical link path; and inspection result output unit that provides a processing result.

Abstract: Provided are a network verification device, etc. capable of shortening the network verification time.

Abstract: Provided is an apparatus including: inspection target network information acquisition unit that acquires a transfer rule at a switch and physical network topology information about an inspection target network; backtrace function generation unit that generates, based on the transfer rule, a backtrace function that calculates a packet pattern of a packet being input to a port of a switch; physical link path acquisition unit that acquires, based on the physical network topology information and the transfer rule, a physical link path representing a series of ports from an incoming port to an outgoing port; backtrace function application unit that calculates a packet pattern at the incoming port of a packet that reaches the outgoing port, by sequentially applying the backtrace function with using a packet pattern cache storing the packet pattern at an intermediate port in the physical link path; and inspection result output unit that provides a processing result.

Abstract: An object of the present invention is to improve prediction accuracy for a performance value of a monitoring target system even if the performance value is substantially different for each of patterns of use. A monitoring data analyzing apparatus includes a regression-model recalculating section 14 configured to combine regression models, which are generated for each of a plurality of groups into which log data including monitoring data in a monitoring target system set as a target of performance management is classified, using the log data belonging to the groups corresponding to the regression models and test target log data, which is the log data set as a target of a performance test, to recalculate the regression models.

Abstract: In order to improve the prediction accuracy of a service level agreement breach, an agreement breach prediction system includes: a probability distribution calculation unit that calculates a probability distribution of a measured value for each event; a probability calculation unit that calculates, for each event, a probability that applies to an SLA breach and a probability that does not applies to an SLA breach; an SLA distribution calculation unit that calculates a probability density of a measured value corresponding to the SLA breach; and a breach occurrence probability calculation unit that, when the event occurs, calculates a probability that the SLA breach occurs within the predefined time after the occurrence of the event, by using the respective probabilities corresponding to the event, and the respective probability densities corresponding to the measured values at the time of event occurrence.

Abstract: A deadlock preventing apparatus includes a deadlock detecting section 360 configured to detect a lock command causing a deadlock on a program code of application programs 120, 130 and an emergency processing section 180 configured to insert a new lock command and a new unlock command to the program code to encompass a part from a lock command place corresponding to the lock command detected by the deadlock detecting section 360 to an unlock command place.

Abstract: A path setting verification device verifies a validity of a path setting in the network system including a host, a switch, and a control device. A topology information acquisition unit acquires information on topology. A path setting information acquisition unit acquires path setting information which is used in updating the path setting by the control device. A test header generation unit generates a test header which is given to a test packet, using the path setting information. A test data generation unit generates a packet sequence which is simulated using the test header. A switch simulation unit simulates an operation of the switch, and a control device simulation unit simulates an operation of the control device. A path setting verification unit verifies a validity of the simulated path setting.

Abstract: An object of the present invention is to reduce a prediction error even if a monitoring target system has a plurality of patterns of use. A monitoring data analyzing apparatus includes a log data file 21 configured to accumulate log data including monitoring data in a monitoring target system set as a target of performance management, a data classifying section 11 configured to classify the log data into a plurality of groups on the basis of characteristics of use status data included in the log data and indicating statuses of use of components of the monitoring target system, and a regression-model generating section 12 configured to execute a regression analysis of the log data and generate a regression model for each of the groups.

Abstract: The disclosed fault analysis rule extraction device includes: an event preprocessing section and a fault analysis rule extraction section. The event preprocessing section merges, with respect to event groups each of which is grouped every certain time period, event groups that can be presumed to occur from the same fault by a cluster analysis. The fault analysis rule extraction section extracts a fault analysis rule useful for a fault analysis by relating event logs to clusters. By the fault analysis rule extraction device of the above configuration, highly accurate fault analysis rule are automatically provided from the event logs of a system.

Abstract: Disclosed is an event correlation detection system that can automatically set a minimum supporting rate and a minimum reliability rate so that an erroneous detection rate is reduced to an allowable level. The event correlation detection system 101 includes an arrival rate calculation unit 102 calculating an arrival rate, an occurrence probability calculation unit 103 calculating a first probability, a threshold calculation unit 104 calculating the minimum supporting rate and the minimum reliability rate for a dependency rule, and an event association rule engine unit 160 detecting an association among a plurality of event types.

Abstract: An error detecting apparatus includes: an execution history storing unit to store a first execution history which is an execution history of a first program, and a second execution history which is an execution history of a second program changed from said first program; a flow comparing means for extracting positions, which are determined on the basis of positions at which a difference between number of executions of a predetermined instruction to number of executions of said first program, and number of executions of an instruction corresponding to said predetermined instruction to number of executions of said second program is not smaller than a predetermined value, from said first execution history and said second execution history; and a cause position restricting means for outputting cause position information which indicates a preceding position form said position of said second program.

Abstract: A deadlock preventing apparatus includes a deadlock detecting section 360 configured to detect a lock command causing a deadlock on a program code of application programs 120, 130 and an emergency processing section 180 configured to insert a new lock command and a new unlock command to the program code to encompass a part from a lock command place corresponding to the lock command detected by the deadlock detecting section 360 to an unlock command place.

Abstract: An object of the present invention is to improve prediction accuracy for a performance value of a monitoring target system even if the performance value is substantially different for each of patterns of use. A monitoring data analyzing apparatus includes a regression-model recalculating section 14 configured to combine regression models, which are generated for each of a plurality of groups into which log data including monitoring data in a monitoring target system set as a target of performance management is classified, using the log data belonging to the groups corresponding to the regression models and test target log data, which is the log data set as a target of a performance test, to recalculate the regression models.

Abstract: An object of the present invention is to reduce a prediction error even if a monitoring target system has a plurality of patterns of use. A monitoring data analyzing apparatus includes a log data file 21 configured to accumulate log data including monitoring data in a monitoring target system set as a target of performance management, a data classifying section 11 configured to classify the log data into a plurality of groups on the basis of characteristics of use status data included in the log data and indicating statuses of use of components of the monitoring target system, and a regression-model generating section 12 configured to execute a regression analysis of the log data and generate a regression model for each of the groups.

Abstract: A fault cause estimating system includes: an initial model generating section which creates an initial fault derivation model indicating a derivation among faults and an initial event derivation model indicating a derivation among the faults and events, based on a basic model definition; an extended Baum-Welch calculating section which creates a fault derivation model which is a transition of a combination of device classes and faults and an event derivation model which is a transition of a combination of device classes and events, based on a instance definition, a class definition, the initial fault derivation model, the initial event derivation model and an event sequence for learning; an instance derivation probability calculating section which creates an instance deviation model of a derivation of an occurrence device based on the event sequence for learning; and an extended Viterbi calculating section which estimates an event cause fault based on the instance definition, the fault occurrence location cla

Abstract: In order to improve the prediction accuracy of a service level agreement breach, an agreement breach prediction system includes: a probability distribution calculation unit that calculates a probability distribution of a measured value for each event; a probability calculation unit that calculates, for each event, a probability that applies to an SLA breach and a probability that does not applies to an SLA breach; an SLA distribution calculation unit that calculates a probability density of a measured value corresponding to the SLA breach; and a breach occurrence probability calculation unit that, when the event occurs, calculates a probability that the SLA breach occurs within the predefined time after the occurrence of the event, by using the respective probabilities corresponding to the event, and the respective probability densities corresponding to the measured values at the time of event occurrence.

Abstract: The disclosed fault analysis rule extraction device includes: an event preprocessing section and a fault analysis rule extraction section. The event preprocessing section merges, with respect to event groups each of which is grouped every certain time period, event groups that can be presumed to occur from the same fault by a cluster analysis. The fault analysis rule extraction section extracts a fault analysis rule useful for a fault analysis by relating event logs to clusters. By the fault analysis rule extraction device of the above configuration, highly accurate fault analysis rule are automatically provided from the event logs of a system.