Abstract: An integrated processing resume device includes: a request receive part configured to allow an input of a request for an integrated order, the request for an integrated order being a request for integrating a plurality of wholesale services; a resource management part configured to record whether or not each of individual instructions of the wholesale service called by an execution of the integrated order has been successfully executed; and an order resume part configured to, when an individual instruction has not been successfully executed and the integrated order is thereby suspended, then, at a time of resuming the integrated order, reference whether or not an already-having-been-executed individual instruction has been successfully executed, from the resource management part, and, while skipping re-execution of a having-been-successfully-executed individual instruction, execute a not-having-been-successfully-executed individual instruction or a not-yet-having-been-executed individual instruction.

Abstract: Provided are a disposition rule saving unit that saves a disposition rule indicating at least a login method and disposition corresponding to the login method of an agent, a control rule saving unit that saves a control rule indicating at least an OS type and control information corresponding to the OS type of a target device of a network service, a data extraction unit that extracts configuration information including a login method and the OS type of the target device of the network service from a response result of construction processing, an agent disposition unit that determines disposition of an agent based on the login method of the extracted configuration information and the disposition rule, and an agent disposition unit that determines control processing of the agent based on the OS type of the extracted configuration information and the control rule.

Abstract: In a case where an active system virtual server detects stopping of a heartbeat received from a standby system virtual server, the active system virtual server notifies a coordination apparatus of the detection of the stopping of a heartbeat. In addition, the active system virtual server reports whether or not a service is operating to the coordination apparatus. The coordination apparatus instructs the standby system virtual server to restart the system in a case where the stopping of a heartbeat and the operation of a service are received. The standby system virtual server restarts the service, restarts an operating system, or restarts the operating system in a case where the restart of the service is not successful, in response to an instruction for restarting the system.

Abstract: A system determination apparatus includes: a calculation unit configured to calculate a variation coefficient representing a degree of variation of traffic and an average traffic amount corresponding to a plurality of days using traffic data of a network apparatus corresponding to the plurality of days; and a determination unit configured to determine a system of the network apparatus using a density of a data group representing a relationship between the variation coefficient and the average traffic amount corresponding to the plurality of days, and the determination unit determines the network apparatus to be a non-operation system in a case where a density of the data group is equal to or higher than a first threshold and determines the network apparatus to be an operation system in a case where the density of the data group is lower than the first threshold.

Abstract: In an estimation system 100 including an addition device 1 and an estimation device 3, the addition device 1 includes a storage section 11 which stores address information of each interface of one of at least two network devices connected to each other, and a transmission section 16 which transmits, at different times, a PING packet which is output to the other network device and is then returned to the one of the network devices to each interface of the one of the network devices by using the address information of the interface read from the storage section, and the estimation device 3 includes an estimation section 34 which compares, for each time, time-series data of a data amount of each interface of the one of the network devices which includes a data amount of the PING packet and time-series data of a data amount of each interface of the other network device which includes the data amount of the PING packet, and calculates a combination of the interfaces of which the data amounts at each time match eac

Abstract: A time stamp correction apparatus that corrects a deviation between time stamps of pieces of data acquired by physically connected NW apparatuses by correcting a deviation in a time stamp between pieces of traffic data is provided. The time stamp correction apparatus includes a waveform similarity computation unit that determines an IF pair based on a similarity between waveforms of time-series data of traffic observed in respective interfaces of the NW apparatuses, and a time stamp correction unit that generates correction information for correcting a deviation between the time stamps of the pieces of data based on feature points of time-series data of traffic observed in the IF pair.

Abstract: A traffic application amount calculation device 14 includes a calculation unit 143 that uses traffic data flowing to an IF of a NW device to calculate, in the IF, an average traffic amount in a transmission direction and an average traffic amount in a reception direction, a first arithmetic operation unit 145 that selects a direction in which an average traffic amount is smaller out of the transmission direction and the reception direction and calculates a standard deviation of the traffic amount in a selected direction that is selected, and a second arithmetic operation unit 146 that determines a traffic amount obtained by multiplying the standard deviation by a predetermined value as a traffic application amount to be applied to traffic in the selected direction.

Abstract: To reproduce and measure a network load that occurs suddenly. A quality measurement device 1 includes a load analysis unit 21 which analyzes a load of a measurement target network 2, a reference load acquisition unit 22 which acquires reference load data 14 including a load of a reference network 3, a test condition determination unit 23 which determines, based on a load at a reference point of the reference network 3, a load to be added to a measurement point of the measurement target network 2 corresponding to the reference point, and a test traffic generation unit 24 which gives traffic corresponding to the load that is determined to the measurement point.

Abstract: A service quality control device includes: an APL profile 20 that records the profile of an application; an APL determination unit 10 that acquires network performance including throughput and network information including quality of user's experience from a network device constituting the network 1 and determines the application to be used by a user by comparing the acquired network information with the APL profile 20; a causal model generation unit 30 that acquires network setting information including a bandwidth throttling value from the network device, generates a causal model that associates network setting information with network performance for each application, and generates a causal model that associates network performance with quality of user's experience for each application; and an optimization unit 50 that finds a network setting that maximizes the network performance and the quality of user's experience of a plurality of applications on the basis of the causal model.

Abstract: A traffic application amount calculation device 14 includes a calculation unit 143 that uses traffic data flowing to an IF of a NW device to calculate, in the IF, an average traffic amount in a transmission direction and an average traffic amount in a reception direction, a first arithmetic operation unit 145 that selects a direction in which an average traffic amount is smaller out of the transmission direction and the reception direction and calculates a standard deviation of the traffic amount in a selected direction that is selected, and a second arithmetic operation unit 146 that determines a traffic amount obtained by multiplying the standard deviation by a predetermined value as a traffic application amount to be applied to traffic in the selected direction.

Abstract: A traffic application IF determination device includes a setting unit 133 that performs processing of, in two different IFs, setting an IF connection relation between the two IFs to be high in a case where a difference between a difference value between a traffic amount received by one IF and a traffic amount transmitted by another IF and a difference value between a traffic amount received by the other IF and a traffic amount transmitted by the one IF is small and setting the IF connection relation between the two IFs to be low in a case where the difference is large for a plurality of IFs included in a plurality of different NW devices, excluding between a plurality of IFs included in the same NW device, and a determination unit 134 that performs processing of, in a predetermined IF, determining the predetermined IF to be an IF that is a target for traffic application in a case where the IF connection relation is set to be high with a plurality of other IFs and determining the predetermined IF to be an IF t

Abstract: A system determination apparatus 1 includes: a calculation unit (31) configured to calculate a variation coefficient representing a degree of variation of traffic and an average traffic amount corresponding to a plurality of days using traffic data of a network apparatus (3) corresponding to the plurality of days; and a determination unit (34) configured to determine a system of the network apparatus (3) using a density of a data group representing a relationship between the variation coefficient and the average traffic amount corresponding to the plurality of days, and the determination unit (34) determines the network apparatus (3) to be a non-operation system in a case where a density of the data group is equal to or higher than a first threshold and determines the network apparatus (3) to be an operation system in a case where the density of the data group is lower than the first threshold.

Abstract: A time stamp correction apparatus 1 that corrects a deviation between time stamps of pieces of data acquired by physically connected NW apparatuses 50A and 50B by correcting a deviation in a time stamp between pieces of traffic data is provided. The time stamp correction apparatus 1 includes a waveform similarity computation unit 13 that determines an IF pair based on a similarity between waveforms of time-series data of traffic observed in respective interfaces of the NW apparatuses 50A and 50B, and a time stamp correction unit 14 that generates correction information for correcting a deviation between the time stamps of the pieces of data based on feature points of time-series data of traffic observed in the IF pair.

Abstract: In an estimation system 100 including an addition device 1 and an estimation device 3, the addition device 1 includes a storage section 11 which stores address information of each interface of one of at least two network devices connected to each other, and a transmission section 16 which transmits, at different times, a PING packet which is output to the other network device and is then returned to the one of the network devices to each interface of the one of the network devices by using the address information of the interface read from the storage section, and the estimation device 3 includes an estimation section 34 which compares, for each time, time-series data of a data amount of each interface of the one of the network devices which includes a data amount of the PING packet and time-series data of a data amount of each interface of the other network device which includes the data amount of the PING packet, and calculates a combination of the interfaces of which the data amounts at each time match eac

Abstract: A topology estimation system that estimates the connection relationship of interfaces of a plurality of devices includes: a topology estimation device 1 that estimates the connection relationship of the interfaces from the correlation of traffic observed at each of the interfaces connected to each other; and a traffic generation device 4 that generates traffic to be transmitted to the interfaces. The traffic generation device 4 includes: a traffic generation unit 42 that generates traffic so that a different feature amount appears for each set of the interfaces connected to each other; and a traffic transmitting unit 43 that transmits the traffic to the interfaces.

Abstract: In a monitoring and maintenance apparatus 1 that monitors a service for which service quality provisions have been established and sorts fault handling into automatic handling done automatically without the need for an operator, scheduled maintenance carried out by an operator in a predetermined time slot, and emergency measures taken promptly by an expert, an inquiry unit 121 extracts fault handling procedures and acquires a degree of impact of carrying out the handling procedures; a cost assessment unit 122 assesses cost according to a timing of carrying out the handling procedures and determines a timing that minimizes the cost; and a selection unit 13 selects a handling procedure to be carried out, based on cost required for handling and on the degree of impact, determines a timing that minimizes the cost as a start timing of the scheduled maintenance when the selected handling procedure is the scheduled maintenance, and sorts the selected handling procedure to any of the automatic handling, the scheduled

Abstract: A network information collection device is provided, which connects, for example, artificial intelligence with each of a plurality of systems in one-to-one relationships.

Abstract: A service quality control device includes: an APL profile 20 that records the profile of an application; an APL determination unit 10 that acquires network performance including throughput and network information including quality of user's experience from a network device constituting the network 1 and determines the application to be used by a user by comparing the acquired network information with the APL profile 20; a causal model generation unit 30 that acquires network setting information including a bandwidth throttling value from the network device, generates a causal model that associates network setting information with network performance for each application, and generates a causal model that associates network performance with quality of user's experience for each application; and an optimization unit 50 that finds a network setting that maximizes the network performance and the quality of user's experience of a plurality of applications on the basis of the causal model.

Abstract: [Problem] It is determined whether quick repair handling is required for a failure in a communication apparatus or in a communication service that occurs in a nighttime period in compliance with an SLA while curbing operating expenses. [Solution] A maintenance task management apparatus 11 determines handling of failures when both an apparatus failure that is a failure in communication apparatuses 46a and 46b in a nighttime period and a service failure that is a trouble in a communication service provided by the communication apparatuses 46a and 46b to users in the nighttime period occur or only the apparatus failure occurs. The maintenance task management apparatus 11 includes a handling determination unit 23 and a handling control unit 31.

Abstract: To reproduce and measure a network load that occurs suddenly. A quality measurement device 1 includes a load analysis unit 21 which analyzes a load of a measurement target network 2, a reference load acquisition unit 22 which acquires reference load data 14 including a load of a reference network 3, a test condition determination unit 23 which determines, based on a load at a reference point of the reference network 3, a load to be added to a measurement point of the measurement target network 2 corresponding to the reference point, and a test traffic generation unit 24 which gives traffic corresponding to the load that is determined to the measurement point.