Driving Industry 4.0 at Distributed Edges with Cloud Orchestration
processes , analyze manufacturing and business data and integrate systems with low TCO . [ 16 ]
• Extensibility : supports execution relevant extensibilities scenarios via custom fields , API extensions , and functional extensions .
Edge nodes consist of local Kubernetes clusters running in the plant . Business applications and services that are essential for executing manufacturing processes are deployed on these clusters .
• Cloud Connector : establishes a secure connection between the cloud and the edge nodes to enable lifecycle management .
• Edge Lifecycle Management Service : counterpart of ELMO that is deployed on the edge to fulfill lifecycle tasks even if connection to the cloud is not available .
• Synchronization Services : provide services responsible for synchronizing data ( configuration , master data , dynamic data ( manufacturing order )) between edge node and cloud .
• Business Services : provide functionalities to enrich OT data streamed by assets with business context ( data and processes ) at the edge .
• Backing Services : provide services for data streaming and processing , data persistence , configuration management .
• DMC Business Applications : essential business applications from DMC that are deployed as containerized applications on the edge node and managed by edge lifecycle management services . Essential functionalities such as logging , and monitoring are also included .
• Extensibility : supports execution relevant extensibilities scenarios via custom fields , API extensions , and functional extensions at the edge .
High Availability for Edge Computing
Earlier implementations of edge computing solutions focused on lightweight data ingestion and processing scenarios . These workloads are handled in singular processes bound by the limitations of smaller resource footprints .
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