A method, computer system, and computer program product are provided. A set of classifiers are applied to metric definitions of an electronic contract between computing devices of a service provider and a service consumer. Each classifier includes a selector pattern and a set of variable declarations. Performance data of the service provider computing device are filtered according to the selector pattern of the each classifier. One or more algebraic expressions of the metric definitions are evaluated in accordance with the each classifier and the filtered performance data to determine compliance of the service provider computing device with the electronic contract. Evaluation results indicating whether the service provider computing device is in compliance with the electronic contract are captured and reported.

An example computing device is configured to receive an instance of a customer service model representative of a plurality of customer services. Each of the plurality of customer services associated with a corresponding at least one requirement and a corresponding at least one constraint. The computing device is configured to receive an instance of a resource model representative of a plurality of resources and map the instance of the customer service model and the instance of the resource model to an internal placement model. The computing device is configured to allocate the plurality of resources to the plurality of customer services such that the at least one requirement and the at least one constraint for each of the plurality of customer services are satisfied and inverse map data indicating how the plurality of resources are allocated to a format consumable by the customer device and output the inverse mapped data.

An example computing device is configured to receive an instance of a customer service model representative of a plurality of customer services. Each of the plurality of customer services associated with a corresponding at least one requirement and a corresponding at least one constraint. The computing device is configured to receive an instance of a resource model representative of a plurality of resources and map the instance of the customer service model and the instance of the resource model to an internal placement model. The computing device is configured to allocate the plurality of resources to the plurality of customer services such that the at least one requirement and the at least one constraint for each of the plurality of customer services are satisfied and inverse map data indicating how the plurality of resources are allocated to a format consumable by the customer device and output the inverse mapped data.

A device to implement a method of managing user equipment resource tracking in a visited network using blockchain based smart contracts. The method is implemented by the device in a home network of the user equipment. The method includes receiving notification from the visited network of the user equipment connection request, installing a smart contract for the user equipment into a blockchain, and reporting an identifier for the smart contract to the visited network to enable recording of resource usage of the user equipment to the blockchain and association with the smart contract.

A device to implement a method of managing user equipment resource tracking in a visited network using blockchain based smart contracts. The method is implemented by the device in a home network of the user equipment. The method includes receiving notification from the visited network of the user equipment connection request, installing a smart contract for the user equipment into a blockchain, and reporting an identifier for the smart contract to the visited network to enable recording of resource usage of the user equipment to the blockchain and association with the smart contract.

A cloud-based platform may receive an indication of one or more event associated with a service provider and modify a configuration associated with providing a schedule of respective service appointments offered by the service provider based on the indication of the one or more events. The cloud-based platform may then receive a request for a new service appointment after modifying the configuration and in response to receiving the request for the new service appointment, determine a number of scheduled appointments associated with a first time window, determine whether the number of scheduled appointments is less than a maximum number of appointments associated with the first time window, and automatically schedule the new service appointment during the first time window in response to determining that the number of scheduled appointments is less than the maximum number of appointments associated with the first window.

A cloud-based platform may receive an indication of one or more event associated with a service provider and modify a configuration associated with providing a schedule of respective service appointments offered by the service provider based on the indication of the one or more events. The cloud-based platform may then receive a request for a new service appointment after modifying the configuration and in response to receiving the request for the new service appointment, determine a number of scheduled appointments associated with a first time window, determine whether the number of scheduled appointments is less than a maximum number of appointments associated with the first time window, and automatically schedule the new service appointment during the first time window in response to determining that the number of scheduled appointments is less than the maximum number of appointments associated with the first window.

Methods and apparatus for coordinating inter-region operations in provider networks. An inter-region coordinator (IRC) operates asynchronously to the control planes of regional networks to coordinate inter-region operations. The IRC in a region may include one or more IRC servers. To perform inter-region operations, the servers may implement a local-remote-local method in which a server invokes an API in the local region to get work, sends the work to a control plane of a remote region, receives a response from the remote region, and informs the control plane in the local region of the status of the work.

An example computing device is configured to receive an instance of a customer service model representative of a plurality of customer services. Each of the plurality of customer services associated with a corresponding at least one requirement and a corresponding at least one constraint. The computing device is configured to receive an instance of a resource model representative of a plurality of resources and map the instance of the customer service model and the instance of the resource model to an internal placement model. The computing device is configured to allocate the plurality of resources to the plurality of customer services such that the at least one requirement and the at least one constraint for each of the plurality of customer services are satisfied and inverse map data indicating how the plurality of resources are allocated to a format consumable by the customer device and output the inverse mapped data.

An example computing device is configured to receive an instance of a customer service model representative of a plurality of customer services. Each of the plurality of customer services associated with a corresponding at least one requirement and a corresponding at least one constraint. The computing device is configured to receive an instance of a resource model representative of a plurality of resources and map the instance of the customer service model and the instance of the resource model to an internal placement model. The computing device is configured to allocate the plurality of resources to the plurality of customer services such that the at least one requirement and the at least one constraint for each of the plurality of customer services are satisfied and inverse map data indicating how the plurality of resources are allocated to a format consumable by the customer device and output the inverse mapped data.