Abstract: A method for performing analysis on an application that performs distributed processing of data, the method including generating, by processing circuitry, simulation information for simulations of the application based on log files corresponding to the application, performing, by the processing circuitry, the simulations using the simulation information in a plurality of operating environments to obtain simulation results, the plurality of operating environments include an actual operating environment of the application and virtual operating environments, and one or more delay factors being removed in each of the virtual operating environments, and conducting the analysis on the application based on the simulation results.

Abstract: A semiconductor device is provided.

Abstract: Provided is a computing system for implementing a system model using big data machine learning, which is intended to build a hypothetical model, calculate verified parameter values by performing machine learning on big data acquired from an actual system, and apply the verified parameter values to the hypothetical model. A system modeling method of completing a simulation model for a target system by causing a hypothetical model defined by acquiring knowledge about the target system to perform machine learning on big data acquired by running and observing the target system includes defining a hypothetical model for a target system by finding acquirable information related to the target system.

Abstract: A container-based cloud service providing system of the present disclosure includes an access server network-connected to a plurality of user terminals through a web socket; an in-memory duster having an area allocated in a cloud and storing an authentication key and event data based on a container; a server module providing a cloud service to the user terminal; a manager module managing the server module; and a database. The server module includes a security module having a container structure and performing authentication of the user terminal; a data storage module having a container structure and periodically storing the event data stored in the in-memory cluster in the database; and a service module providing the cloud service by using the event data.

Abstract: A container-based cloud service providing system of the present disclosure includes an access server network-connected to a plurality of user terminals through a web socket; an in-memory duster having an area allocated in a cloud and storing an authentication key and event data based on a container; a server module providing a cloud service to the user terminal; a manager module managing the server module; and a database. The server module includes a security module having a container structure and performing authentication of the user terminal; a data storage module having a container structure and periodically storing the event data stored in the in-memory cluster in the database; and a service module providing the cloud service by using the event data.

Abstract: Disclosed herein is a computing system for implementing and operating a system model describing a target system, the computer system comprises a processor configured to select first data as input data of a first sub-module, based on structural information, from among new input data for the target system, provide second data as input data of a second sub-module, based on the structural information, wherein the second sub-module is defined to receive output data of the first sub-module as input data thereof by the structural information, control the second sub-model to infer a behavior of the target system based on the second data, and provide third data based on output data of the second sub-module as an output of the system model describing the behavior of the target system.