An abnormal access prediction system is configured to comprise an acquisition unit and a prediction unit. The acquisition unit acquires time-series access data and time-series resource usage data in a first period. The time-series access data is data relating to access to a server on a network from a first plurality of terminal devices individually operated by a first plurality of users. The time-series resource usage data is data relating to a time-series change in resource usage of each of the first plurality of terminal devices. The prediction unit predicts a terminal device that performs abnormal access by using: a prediction model generated on the basis of time-series access data and time-series resource usage data in a second period earlier than the first period; time-series access data in the first period; and time-series resource usage data.

A switch device includes: a plurality of communication ports; a switch unit configured to relay a frame, which has been transmitted from a function unit and to which information including an ID of a VLAN and priority information is added, to another function unit via a communication port, according to the priority information; and a duplication unit configured to, when the diagnosis device is connected to another switch device, duplicate the frame to be relayed via a designated communication port, thereby generating a duplicate frame for diagnosis. The duplication unit is able to set the priority information to be added to the duplicate frame for diagnosis, separately from the priority information to be added to the frame as an original. The switch unit outputs the duplicate frame for diagnosis, from a communication port corresponding to the other switch device, according to the priority information set by the duplication unit.

In a signal transfer system including a signal transfer management apparatus and a plurality of signal transfer apparatuses connected in multiple stages and forming a network between a distribution station apparatus and a central station apparatus, a signal transfer apparatus on an upper side among the plurality of signal transfer apparatuses transmits a timing adjustment request to at least one of a plurality of signal transfer apparatuses on a lower side when discard of a signal received from the plurality of signal transfer apparatuses on the lower side has been detected or when an amount of traffic of a plurality of signals received from the plurality of signal transfer apparatuses on the lower side exceeds a predetermined threshold value, and the signal transfer apparatus on the lower side that has received the timing adjustment request from the signal transfer apparatus on the upper side adjusts opening and closing timings of a gate based on the timing adjustment request. This can prevent the occurrence of a microburst.

A discrimination method to be executed by a discrimination device that discriminates an application, includes collecting packet data and first flow data that satisfy a predetermined rule, analyzing the packet data and generating a signature that associates the application and an IP address with each other, generating second flow data from the packet data, calculating first feature amount information that is a statistical feature amount for each IP address for the first flow data, and calculating second feature amount information that is a statistical feature amount for each IP address for the second flow data, attaching a label to the second feature amount information with use of the signature, and causing a discriminator to learn discrimination of the application by using the first feature amount information and the second feature amount information as learning data.

A network management apparatus according to an embodiment includes: an acquiring unit which acquires an information object related to a plurality of occurrence paths of a failure in a logical layer of a network configuration; and a retrieving unit which: retrieves, as a candidate of a facility to be a failure cause, information objects related to the facility layer and the physical layer commonly associated with the information object related to the plurality of occurrence paths of the failure having been acquired by the acquiring unit among information objects related to the facility layer; calculates, for each of the retrieved information objects related to the candidate of a facility to be the failure cause, the number of information objects which are associated with the object and which are related to the plurality of occurrence paths of the failure as a multiplicity; and calculates, for each of the retrieved information objects related to the candidate of a facility to be the failure cause, a proportion of the multiplicity with respect to the number of information objects in the logical layer which are affected when the failure occurs in the object.

The present disclosure has been made in view of such a problem, and an object of the present disclosure is to make it possible to predict fluctuation of unsteady traffic with a small amount of calculation.

A traffic fluctuation prediction apparatus (91) according to the present disclosure includes: a data division unit (12) that divides time-series data X.sub.N(t) in a certain period of the traffic into estimation and prediction data sets; a learning unit (13) that learns a dictionary D.sub.r(t) using one of the two divided data sets, and learns a dictionary D.sub.p(t) using the other of the two divided data sets; a prediction unit (14) that obtains a sparse code Y.sub.N(t) in representing the time-series data using the learned dictionary D.sub.r(t) and obtains a predicted value X.sub.N^(t) of future traffic using the obtained sparse code Y.sub.N(t) and the dictionary D.sub.p(t); and a prediction correction unit (15) that corrects a prediction error of the predicted value X.sub.N^(t) obtained by the prediction unit (14) using search for a stable region of a double queue of overestimation and underestimation.

Described are advanced communication computers that include a processor, at least one network adaptor connected to the processor, wherein the at least one network adaptor comprises a separate processor, at least one remote network connected to the at least one network adaptor, and at least one remote server connected to the at least one remote network. The processor is configured to identify an expected performance level of the at least one network adaptor, collect actual performance data from the at least one processor, and compare the actual performance data to the expected performance level to identify issues with signal condition, network traffic, interference, and other similar metrics.

A service data transmission method and apparatus are provided. The method includes: obtaining, by an information control center, first information from a service server, where the first information includes service information and/or application information; obtaining, by the information control center, second information from user equipment, where the second information includes at least one of service information, mobility information, behavior information, and status information of the user equipment; and controlling, by the information control center, transmission of service data of the user equipment based on the first information and/or the second information. In the embodiments of the present disclosure, transmission of the service data can be controlled based on specific information that is about the service data and that is obtained by the information control center, and different transmission quality is provided for different types of service data.

A service data transmission method and apparatus are provided. The method includes: obtaining, by an information control center, first information from a service server, where the first information includes service information and/or application information; obtaining, by the information control center, second information from user equipment, where the second information includes at least one of service information, mobility information, behavior information, and status information of the user equipment; and controlling, by the information control center, transmission of service data of the user equipment based on the first information and/or the second information. In the embodiments of the present disclosure, transmission of the service data can be controlled based on specific information that is about the service data and that is obtained by the information control center, and different transmission quality is provided for different types of service data.

A data collection and analysis system includes a communication unit and a data acquisition unit. The communication unit collects data indicating an internal state or operation state of an equipment item. The data acquisition unit acquires, from the communication unit, the data synchronized for each of groups according to setting information, the setting information being information in which the groups, a data acquisition timing, and a storage location of the data are set for a channel allocated to the data to be acquired from the equipment item, each of the groups bringing together a plurality of the channels, the data acquisition timing being a timing at which the data are acquired from the communication unit.