Abstract: An information processing device that designs a Bayesian network includes: an input unit configured to input, as elements of a Bayesian network, information regarding a plurality of nodes, an edge indicating a causal relation between a master node and a slave node in the plurality of nodes, and a weight indicating the degree of influence of a definition content of the master node on a probability distribution of the slave node; and a generation unit configured to generate a Bayesian network using the input information.

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 prevent a delay in detection of a fault and the like and to cut down a load on a management side while making transmission of data appropriate in consideration of importance and properties of each type of the data in a case in which a large amount of data is transmitted from management target apparatuses. Items with high priority are processed first, and items with a low priority are allowed to be thinned out in accordance with priority and a weight that a management system 10 defines for each data item, thereby reducing a load. The thinning out is performed by limiting the number of data items to be processed once in accordance with a load level. Data acquisition intervals and priority for each item are dynamically changed by reflecting the importance of the data of each item and a change thereof. Trends of data and the like distributed using telemetry are observed and are fed back to load control through control using an AI or a rule base.

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: A network system includes a storage unit that stores topology information in a graph database in chronological order, the topology information including end point information and connection information of logical resources of the virtual network, end point information and connection information of physical resources of the physical network, and correspondence information between the logical resources and the physical resources; a setting information acquirer that acquires setting information of the virtual network from the orchestrator using a change notification from the orchestrator as a trigger; and a topology information management unit that updates the topology information stored in the graph database of the storage unit on the basis of the acquired setting information.

Abstract: To make it possible to correctly understand a connection relationship of interfaces. A traffic addition device 50 adds to traffic volumes output from a plurality of interfaces of a plurality of network devices A to F in a to-be-estimated network N additional traffic volumes different at the interfaces. This forms a characteristic volume in the traffic volumes. The topology estimation device 10 can thus correctly understand a connection relationship of the interfaces from a correlation between the traffic volumes.

Abstract: [Problem] In a disaggregated optical transmission system formed by connecting bases including transmission apparatuses having specifications of different vendors through an optical fiber, wavelength information is easily set in the transmission apparatuses at both bases of the optical fiber such that the required wavelength is assigned to the optical fiber.

Abstract: To prevent a delay in detection of a fault and the like and to cut down a load on a management side while making transmission of data appropriate in consideration of importance and properties of each type of the data in a case in which a large amount of data is transmitted from management target apparatuses. Items with high priority are processed first, and items with a low priority are allowed to be thinned out in accordance with priority and a weight that a management system 10 defines for each data item, thereby reducing a load. The thinning out is performed by limiting the number of data items to be processed once in accordance with a load level. Data acquisition intervals and priority for each item are dynamically changed by reflecting the importance of the data of each item and a change thereof. Trends of data and the like distributed using telemetry are observed and are fed back to load control through control using an AI or a rule base.

Abstract: [Problem] In a disaggregated optical transmission system formed by connecting bases including transmission apparatuses having specifications of different vendors through an optical fiber, wavelength information is easily set in the transmission apparatuses at both bases of the optical fiber such that the required wavelength is assigned to the optical fiber.

Abstract: [Problem] To provide a network system, a topology management method, and a program that can quickly identify the location of the disorder. [Solution] A network system includes a storage unit 130 that stores topology information 220A in a graph database 220 in chronological order, the topology information 220A including end point information and connection information of logical resources of the virtual network 11, end point information and connection information of physical resources of the physical network 1, and correspondence information between the logical resources and the physical resources; a setting information acquirer 121 that acquires setting information of the virtual network 11 from the orchestrator 300 using a change notification from the orchestrator 300 as a trigger; and a topology information management unit 120 that updates the topology information 220A stored in the graph database 220 of the storage unit 130 on the basis of the acquired setting information.