Abstract: Secure data analytics is provided via a process that identifies sensitive data fields of an initial dataset and mappings between the sensitive data fields and other data fields of the dataset, where analytics processing is to be performed on the initial dataset, then, based on an expectation of data fields, of the initial data set, to be used in performance of the analytics processing and on the identified sensitive data fields, selects and applies a masking method to the initial dataset to mask the sensitive data fields and produce a masked dataset, provides the masked dataset to an analytics provider with a request for the analytics processing, and receives, in response, a generated analytics function, generated based on the masked dataset, that is configured to perform the analytics processing, and invokes the generated analytics function against the initial dataset to perform the analytics processing on the initial dataset.

Abstract: A system includes a container cluster including plural hosts that communicate with one another via a network. Each of the plural hosts includes a computing node that includes an operating system and a container runtime configured to run containers. Each of the plural hosts stores a respective member list that defines capabilities of the plural hosts in the container cluster. Each of the plural hosts is configured to identify another one of the plural hosts for running a container based on comparing tags of the container to the capabilities of the plural hosts defined in the respective member list. Each respective one of the plural hosts is configured to perform the identifying the another one of the plural hosts for running the container in response to determining the respective one of the plural hosts is resource-constrained from running the container.

Abstract: A system includes a container cluster including plural hosts that communicate with one another via a network. Each of the plural hosts includes a computing node that includes an operating system and a container runtime configured to run containers. Each of the plural hosts stores a respective member list that defines capabilities of the plural hosts in the container cluster. Each of the plural hosts is configured to identify another one of the plural hosts for running a container based on comparing tags of the container to the capabilities of the plural hosts defined in the respective member list. Each respective one of the plural hosts is configured to perform the identifying the another one of the plural hosts for running the container in response to determining the respective one of the plural hosts is resource-constrained from running the container.

Abstract: In an approach to deploying containers on a 5G slice network, responsive to receiving a request to obtain and host a container within a 5G network, a slice network is created within the network for hosting of the container, where the slice network is created by a carrier for the network. The container is deployed to one or more worker nodes using the slice network within the 5G network.

Abstract: In an approach to deploying containers on a 5G slice network, responsive to receiving a request to obtain and host a container within a 5G network, a slice network is created within the 5G network for hosting of the container, where the slice network is created by a carrier for the 5G network. The container is deployed to one or more worker nodes using the slice network within the 5G network.

Abstract: Secure data analytics is provided via a process that identifies sensitive data fields of an initial dataset and mappings between the sensitive data fields and other data fields of the dataset, where analytics processing is to be performed on the initial dataset, then, based on an expectation of data fields, of the initial data set, to be used in performance of the analytics processing and on the identified sensitive data fields, selects and applies a masking method to the initial dataset to mask the sensitive data fields and produce a masked dataset, provides the masked dataset to an analytics provider with a request for the analytics processing, and receives, in response, a generated analytics function, generated based on the masked dataset, that is configured to perform the analytics processing, and invokes the generated analytics function against the initial dataset to perform the analytics processing on the initial dataset.

Abstract: In an approach to deploying containers on a 5G slice network, responsive to receiving a request to obtain and host a container within a 5G network, a slice network is created within the 5G network for hosting of the container, where the slice network is created by a carrier for the 5G network. The container is deployed to one or more worker nodes using the slice network within the 5G network.

Abstract: A system includes a container cluster including plural hosts that communicate with one another via a network. Each of the plural hosts includes a computing node that includes an operating system and a container runtime configured to run containers. Each of the plural hosts stores a respective member list that defines capabilities of the plural hosts in the container cluster. Each of the plural hosts is configured to identify another one of the plural hosts for running a container based on comparing tags of the container to the capabilities of the plural hosts defined in the respective member list. Each respective one of the plural hosts is configured to perform the identifying the another one of the plural hosts for running the container in response to determining the respective one of the plural hosts is resource-constrained from running the container.