Abstract: This disclosure relates to industrial data services, data modeling and applications for controlling an industrial operation. In one implementation, a platform is disclosed for allocating a data modeling request to a collaborative group of experts based on a two-dimensional data modeling flow data structure and a multilayer resource allocation graph to obtain a data model for controlling the industrial operation. The two-dimensional data modeling flow data structure and the multilayer resource allocation graph are established from an industrial graph knowledgebase using various data analytics and machine learning techniques.

Abstract: A secure data system facilitates efficient searching of extensive data storage layers, e.g., a blockchain. The system may create an index for data elements of a predefined type recorded in the blockchain. The system may generate the index by invoking executable instructions stored in an executable data element (e.g., a smart contract) recorded in the blockchain and associated with the predefined type of data elements. The index facilitates fast query into the blockchain for the data elements of the predefined type.

Abstract: Cloud service based on container technology provides a lightweight, portable, but robust architecture for deploying service applications. Service volume and resource requirement for a typical modern-day application may fluctuate dramatically in time. A dynamic resource allocation scheme based on machine learning algorithms and executed by the cloud for applications deployed as independent containers allows for efficient resource usage and improvement of quality of service for the applications.

Abstract: This disclosure relates to industrial data services, data modeling and applications for controlling an industrial operation. In one implementation, a platform is disclosed for allocating a data modeling request to a collaborative group of experts based on a two-dimensional data modeling flow data structure and a multilayer resource allocation graph to obtain a data model for controlling the industrial operation. The two-dimensional data modeling flow data structure and the multilayer resource allocation graph are established from an industrial graph knowledgebase using various data analytics and machine learning techniques.

Abstract: A secure data system facilitates efficient searching of extensive data storage layers, e.g., a blockchain. The system may create an index for data elements of a predefined type recorded in the blockchain. The system may generate the index by invoking executable instructions stored in an executable data element (e.g., a smart contract) recorded in the blockchain and associated with the predefined type of data elements. The index facilitates fast query into the blockchain for the data elements of the predefined type.

Abstract: Cloud service based on container technology provides a lightweight, portable, but robust architecture for deploying service applications. Service volume and resource requirement for a typical modern-day application may fluctuate dramatically in time. A dynamic resource allocation scheme based on machine learning algorithms and executed by the cloud for applications deployed as independent containers allows for efficient resource usage and improvement of quality of service for the applications.