Abstract: A failure effects estimating device includes an input unit that inputs a log and a traffic amount obtained from a communication system when an abnormality occurs, an estimating unit that estimates a failure effects amount in the communication system, on the basis of the log and the traffic amount, and an output unit that outputs the failure effects amount estimated by the estimating unit.

Abstract: A disaster recovery plan producing device produces a disaster recovery plan for at least one geographically dispersed location and includes an embedding unit which calculates, using a neural network, a feature quantity for each of the locations from input data including at least position information and a priority about the location, a plan producing unit which determines, using a neural network, an order for performing disaster recovery to the at least one location as a disaster recovery plan on the basis of the feature quantity, and a reinforcement learning unit which learns parameters of the neural network which constitutes the embedding unit and parameters of the neural network which constitutes the plan producing unit by reinforcement learning.

Abstract: A recovery support apparatus includes an index value calculation means which calculates a predetermined index value with respect to a recovery work sequence on the basis of the recovery work sequence indicating a work procedure for recovery from an abnormality that has occurred in an apparatus group constituting a communication network, and an output means which outputs the index value calculated by the index value calculation means to a predetermined output destination.

Abstract: A failure effects estimating device includes an input unit that inputs a log and a traffic amount obtained from a communication system when an abnormality occurs, an estimating unit that estimates a failure effects amount in the communication system, on the basis of the log and the traffic amount, and an output unit that outputs the failure effects amount estimated by the estimating unit.

Abstract: In the disclosure, a first feature amount extraction unit configured to extract, from time-series data of a plurality of types, a first feature amount representing a feature between dimensions of each data of the time-series data at each time, a second feature amount extraction unit configured to extract, from the first feature amount extracted by the first feature amount extraction unit, a second feature amount representing a feature between the types at each time, a third feature amount extraction unit configured to extract, from the second feature amount extracted by the second feature amount extraction unit, a third feature amount representing a feature between each time, and an analysis unit configured to perform predetermined data analysis through a use of the third feature amount extracted by the third feature amount extraction unit.

Abstract: A control apparatus configured to allocate a virtual network for providing a network service on a physical network includes: acquisition means for acquiring information indicating an outside temperature of each node included in the physical network, physical resource information of the physical network, information indicating a predicted traffic amount of the physical network, and an allocation request for the virtual network; and calculation means for calculating an optimal allocation of the virtual network using a target function defined using a unit cost defined for each region and for each time slot and a power consumption model taking into consideration the outside temperature and a load rate calculated based on the predicted traffic amount, and a restrictive condition obtained based on the physical resource information and the allocation request.

Abstract: A control apparatus configured to allocate a virtual network for providing a network service on a physical network includes: acquisition means for acquiring information indicating an outside temperature of each node included in the physical network, physical resource information of the physical network, information indicating a predicted traffic amount of the physical network, and an allocation request for the virtual network; and calculation means for calculating an optimal allocation of the virtual network using a target function defined using a unit cost defined for each region and for each time slot and a power consumption model taking into consideration the outside temperature and a load rate calculated based on the predicted traffic amount, and a restrictive condition obtained based on the physical resource information and the allocation request.

Abstract: A recovery support apparatus includes an index value calculation means which calculates a predetermined index value with respect to a recovery work sequence on the basis of the recovery work sequence indicating a work procedure for recovery from an abnormality that has occurred in an apparatus group constituting a communication network, and an output means which outputs the index value calculated by the index value calculation means to a predetermined output destination.

Abstract: Techniques for extracting a set of highly correlated logs without user's prior knowledge of generation rules of logs generated by a machine. A log analysis apparatus includes: a template storage unit configured to store templates for log messages; a template determination unit configured to determine templates corresponding to log messages provided from a to-be-monitored host from the stored templates; an event candidate extraction unit configured to detect templates determined for log messages provided from the same host from the determined templates and extract a sequence of the detected templates as an event candidate; and an event extraction unit configured to extract a sequence of frequently occurring templates as an event from the extracted event candidate.

Abstract: A delivery rate selection device, for selecting a delivery rate when delivering a video image from a video delivery server to a client in a video delivery service. When a delivery rate calculating unit receives from an inquiry source an inquiry of delivery rate for delivering a video image to a given user, a delivery rate calculating unit acquires presence or absence of a playback stall tolerance and presence or absence of an image quality deterioration tolerance of the given user from the user characteristic storage unit, selects an encoding rate from a plurality of encoding rates of the video image according to a combination of the presence or absence of a playback stall tolerance and the presence or absence of an image quality deterioration tolerance of the given user, and returns the selected encoding rate as the delivery rate to the inquiry source.

Abstract: A monitoring device information analyzing device calculates a log variation amount from a log variation amount of a monitoring target device h and a log variation amount of the monitoring target device on another day, by referring to a template information storage unit storing a time at which a log message arises, the log message arising in the past, a template that is associated with an ID of the monitoring target device, and a template ID of the template to calculate the log variation amount of the monitoring target device and to obtain the log variation amount of the monitoring target device on the other day at the same time zone; obtains the log variation amount that is to be a sample; executes verification according to a statistical method, and determines the sample as an advance log, if a test statistic is greater than a predetermined threshold value.

Abstract: A delivery rate selection device, for selecting a delivery rate when delivering a video image from a video delivery server to a client in a video delivery service. When a delivery rate calculating unit receives from an inquiry source an inquiry of delivery rate for delivering a video image to a given user, a delivery rate calculating unit acquires presence or absence of a playback stall tolerance and presence or absence of an image quality deterioration tolerance of the given user from the user characteristic storage unit, selects an encoding rate from a plurality of encoding rates of the video image according to a combination of the presence or absence of a playback stall tolerance and the presence or absence of an image quality deterioration tolerance of the given user, and returns the selected encoding rate as the delivery rate to the inquiry source.

Abstract: Techniques for extracting a set of highly correlated logs without user's prior knowledge of generation rules of logs generated by a machine. A log analysis apparatus includes: a template storage unit configured to store templates for log messages; a template determination unit configured to determine templates corresponding to log messages provided from a to-be-monitored host from the stored templates; an event candidate extraction unit configured to detect templates determined for log messages provided from the same host from the determined templates and extract a sequence of the detected templates as an event candidate; and an event extraction unit configured to extract a sequence of frequently occurring templates as an event from the extracted event candidate.

Abstract: A monitoring device information analyzing device calculates a log variation amount from a log variation amount of a monitoring target device h and a log variation amount of the monitoring target device on another day, by referring to a template information storage unit storing a time at which a log message arises, the log message arising in the past, a template that is associated with an ID of the monitoring target device, and a template ID of the template to calculate the log variation amount of the monitoring target device and to obtain the log variation amount of the monitoring target device on the other day at the same time zone; obtains the log variation amount that is to be a sample; executes verification according to a statistical method, and determines the sample as an advance log, if a test statistic is greater than a predetermined threshold value.