Abstract:
A data analysis device executes: acquiring time-series data including data of multiple items from an analysis target system; extracting data of at least, one first item from the time series data; calculating a feature of a temporal change of the data of the first item; extracting data of at least one second item from the time series data; calculating a feature of at least one of a relevance between the data of the first item and the data of the second item and a relevance between the data of the multiple second items; determining a model corresponding to the analysis target system on the basis of the feature of the temporal change and the change of the relevance; and setting the parameter in the analysis target system by using the parameter setting configuration of the model.
Abstract:
A monitoring device executes: aggregating a number of messages for each type of message transmitted or received at nodes using test results; classifying the respective messages into either an original message that serves as an origin among messages transmitted and received by a system to be monitored, or a generated message that is generated in the system when the original message is transmitted to any of the plurality of nodes; analyzing a relationship between the original message and the generated message on the basis of a number of messages classified as the original message and a number of messages classified as the generated message, thereby creating a matrix indicating the relationship between the original message and the generated message; and determining that the system has undergone a failure if a value of an element inside the matrix is outside of a normal range.
Abstract:
To shorten the simulation time without deteriorating the simulation accuracy. In a supply chain simulation system which performs simulation of a supply chain, a simulation data dividing unit creates a plurality of simulation divided input data obtained by consolidating and classifying, based on the transport-related information of each of the divided groups, simulation input data related to products of the plurality of items for each item in which the transport-related information of each of the divided groups are closely related to each other, and a plurality of simulators individually execute division simulation based on the plurality of simulation divided input data.
Abstract:
A supply chain model generation system independently uses a business entity code and an item code representing an item related to a transaction in result information on a supply chain operation of a plurality of business entities; transaction information is extracted from the result information and a transaction time series information table is generated; a relationship in the transaction time series information table in each business entity is analyzed and a virtual business entity code on a supply side and a virtual business entity code on a demand side are assigned for each business entity code; and further a logical model information table where a virtual item code is assigned with respect to an item code related to the transaction of a business entity of the virtual business entity code on the supply side and a business entity of the virtual business entity code on the demand side is generated.
Abstract:
A monitoring system comprises: a measurement unit; and an analysis unit, wherein the measurement unit measures traffic information relating to messages inputted to a device to be monitored and messages outputted from the device to be monitored, and wherein the analysis unit calculates one or more indices on the basis of a prescribed relational expression and the measured traffic information, and detects that a specific change in state has occurred in the device to be monitored on the basis of the indices or a comparison between a change in the indices and a threshold.
Abstract:
In a communication system in which a plurality of communication apparatuses perform communication via a communication network, a network abnormality detection system dynamically creates a monitoring rule during operation without defining information (monitoring rule) regarding communication to be monitored in advance and perform a collection process and an abnormality determination process quickly even when an amount of information to be monitored is vast. The network abnormality detection system copies packets transmitted at predetermined measurement positions in the communication network, calculates communication statistics information at each measurement position from the copied packets, analyzes one or more pieces of communication statistics information, and detects occurrence of communication abnormality.