Siemens Aktiengesellschaft

Zhou Yuan

Qi Wang

Yue Hua Zhang

Ming Yu

Yi Hua Liu

He Yu

Hong Mu

Shuangquan Gui

Yuehua Zhang

Various embodiments include methods for determining a resource configuration of a cloud service system using a system simulation tool with a model library. This may include: obtaining a model required for each service; obtaining a resource limit setting of each required model; creating a service workflow among the models to obtain a system simulation model, indicating the interaction workflow among the models and the sequence of model execution in a single service; using training data to train a service performance model of each service, wherein the training data comprises test data collected from the cloud service system in a testing environment, and the service performance model defines a resource consumption of a single request running on a service in the system simulation model; performing system simulation with a given resource configuration set and the resource limit settings, to obtain a system performance KPI; and determining a resource configuration with the best KPI.

Method and apparatus for determining resource configuration of cloud service system

Provided in an embodiment of the present disclosure is a method for acquiring data of a data source associated with a production line, including: acquiring a semantic model, the semantic model including semantic relationships between respective semantic units and data source identifiers corresponding to one or more production lines; receiving production line identifiers and acquiring one or more semantic units; converting, based upon the semantic model, the one or more semantic units to data source identifiers corresponding to production lines indicated by the production line identifiers; and acquiring data of data sources indicated by the data source identifiers. Implementing the embodiments disclosed in the present disclosure simplifies a configuration file required for a virtual model of a production line, thereby greatly reducing configuration workload, and enhancing convenience of acquiring data of a data source.

Method and device for acquiring data of data sources associated with production line

A data analysis method, device and system are disclosed. In an embodiment, the method includes performing data analysis on the devices by an application by collecting at least one key performance indicator of the devices, estimating the performance of the application according to the result of the data analysis, generating an application upgrade requirement on the basis of the performance estimation result, and sending the upgrade requirement to an industrial cloud; receiving a context data requirement generated by the industrial cloud based upon of the upgrade requirement, collecting context data from the devices according to the context data requirement, and returning the context data to the industrial cloud; and downloading from the industrial cloud the application updated on the basis of the context data. The data analysis mechanism reduces the development process of custom and special applications by automatically upgrading to adapt to changes in field application conditions.

Data analysis method, device and system

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Wuhan, China

Zhou Yuan