Abstract: Techniques are described for optimizing multipaths of a segment routing-enabled network. For example, a computing device is configured to: for each link in a network layer of a multi-layer network, compute a usage (metric) of the link by all paths of a first plurality of multipaths provisioned in the network layer to compute a total usage by the first plurality of multipaths, the first plurality of multipaths having been computed and placed to a model of the network layer in a first order; compute a second plurality of multipaths, wherein the second plurality of multipaths are computed and placed, to the model of the network layer, in a second, different order; and in response to determining that the total usage by the second plurality of multipaths is less than the total usage by the first plurality of multipaths, provision the second plurality of multipaths in the network layer.

Abstract: 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.

Abstract: A network device can automatically select an execution plan from a set of possible execution plans that cause a first set of traffic assignments in a network to be changed to a second set of traffic assignments. A traffic assignment indicates assignments of the traffic to one or more tunnels, internal routes and/or peer links to be utilized for routing traffic received at provider edge routers through a network to prefixes. A traffic assignment can have various parameters such as bandwidth, transmission costs etc. Each execution plan has one or more steps, and each step has one or more traffic assignment changes progressing from the first set of traffic assignments to the second set of traffic assignments. The network device can automatically select an execution plan based on an evaluation metric determined for each execution plan. The evaluation metric can be a cost based metric or a quality based metric.

Abstract: Network management techniques are described. A controller device of this disclosure manages a device group of a network. The controller device includes processing circuitry in communication with the memory, the processing circuitry being configured to receive, using a programmable diagnosis service executed by the processing circuitry, a programming input, to form, using the programmable diagnosis service, based on the programming input, a resource definition graph that models interdependencies between a plurality of resources supported by the device group, to detect, using the programmable diagnosis service, an event affecting a first resource of the plurality of resources, and to identify, using the programmable diagnosis service, based on the interdependencies modeled in the resource definition graph formed based on the programming input, a root cause event that caused the event affecting the first resource, the root cause event occurring at a second resource of the plurality of resources.

Abstract: Network management techniques are described. A controller device of this disclosure manages a device group of a network. The controller device includes processing circuitry in communication with the memory, the processing circuitry being configured to receive, using a programmable diagnosis service executed by the processing circuitry, a programming input, to form, using the programmable diagnosis service, based on the programming input, a resource definition graph that models interdependencies between a plurality of resources supported by the device group, to detect, using the programmable diagnosis service, an event affecting a first resource of the plurality of resources, and to identify, using the programmable diagnosis service, based on the interdependencies modeled in the resource definition graph formed based on the programming input, a root cause event that caused the event affecting the first resource, the root cause event occurring at a second resource of the plurality of resources.

Abstract: 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.

Abstract: A network device can automatically select an execution plan from a set of possible execution plans that cause a first set of traffic assignments in a network to be changed to a second set of traffic assignments. A traffic assignment indicates assignments of the traffic to one or more tunnels, internal routes and/or peer links to be utilized for routing traffic received at provider edge routers through a network to prefixes. A traffic assignment can have various parameters such as bandwidth, transmission costs etc. Each execution plan has one or more steps, and each step has one or more traffic assignment changes progressing from the first set of traffic assignments to the second set of traffic assignments. The network device can automatically select an execution plan based on an evaluation metric determined for each execution plan. The evaluation metric can be a cost based metric or a quality based metric.

Abstract: In an example, a method includes computing, by a computing device, for a segment routing policy that specifies a bandwidth constraint for the segment routing policy, first shortest paths through a network of network nodes, wherein each shortest path of the first shortest paths represents a different sequence of links connecting pairs of the network nodes from a source to a destination; in response to determining, by the computing device based on the bandwidth constraint for the segment routing policy, a link of one of the first shortest paths has insufficient bandwidth to meet a required bandwidth for the link, increasing a metric of the link; computing, by the computing device, for the segment routing policy that specifies the bandwidth constraint, based on the increased metric of the link, second shortest paths through the network of network nodes; and provisioning the second shortest paths in the network of nodes.

Abstract: Techniques are described for optimizing multipaths of a segment routing-enabled network. For example, a computing device is configured to: for each link in a network layer of a multi-layer network, compute a usage (metric) of the link by all paths of a first plurality of multipaths provisioned in the network layer to compute a total usage by the first plurality of multipaths, the first plurality of multipaths having been computed and placed to a model of the network layer in a first order; compute a second plurality of multipaths, wherein the second plurality of multipaths are computed and placed, to the model of the network layer, in a second, different order; and in response to determining that the total usage by the second plurality of multipaths is less than the total usage by the first plurality of multipaths, provision the second plurality of multipaths in the network layer.

Abstract: 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.

Abstract: 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.

Abstract: Techniques are described for computing lists of segment identifiers (SIDs) that satisfy each path in a multipath solution for a segment routing (SR) policy. In an example, a method includes obtaining, by a computing device, a plurality of paths through a network comprising one or more network nodes, each path of the plurality of paths representing a different sequence of links connecting pairs of the network nodes from a source to a destination; computing, by the computing device, one or more lists of segments identifiers (SIDs) that satisfy each path of the plurality of paths; and programming the network to forward network traffic based at least on the one or more lists of SIDs.

Abstract: Network management techniques are described. A controller device of this disclosure manages a device group of a network. The controller device includes processing circuitry in communication with the memory, the processing circuitry being configured to receive, using a programmable diagnosis service executed by the processing circuitry, a programming input, to form, using the programmable diagnosis service, based on the programming input, a resource definition graph that models interdependencies between a plurality of resources supported by the device group, to detect, using the programmable diagnosis service, an event affecting a first resource of the plurality of resources, and to identify, using the programmable diagnosis service, based on the interdependencies modeled in the resource definition graph formed based on the programming input, a root cause event that caused the event affecting the first resource, the root cause event occurring at a second resource of the plurality of resources.

Abstract: Techniques are described for optimizing multipaths of a segment routing-enabled network. For example, a computing device is configured to: for each link in a network layer of a multi-layer network, compute a usage (metric) of the link by all paths of a first plurality of multipaths provisioned in the network layer to compute a total usage by the first plurality of multipaths, the first plurality of multipaths having been computed and placed to a model of the network layer in a first order; compute a second plurality of multipaths, wherein the second plurality of multipaths are computed and placed, to the model of the network layer, in a second, different order; and in response to determining that the total usage by the second plurality of multipaths is less than the total usage by the first plurality of multipaths, provision the second plurality of multipaths in the network layer.

Abstract: In an example, a method includes computing, by a computing device, for a segment routing policy that specifies a bandwidth constraint for the segment routing policy, first shortest paths through a network of network nodes, wherein each shortest path of the first shortest paths represents a different sequence of links connecting pairs of the network nodes from a source to a destination; in response to determining, by the computing device based on the bandwidth constraint for the segment routing policy, a link of one of the first shortest paths has insufficient bandwidth to meet a required bandwidth for the link, increasing a metric of the link; computing, by the computing device, for the segment routing policy that specifies the bandwidth constraint, based on the increased metric of the link, second shortest paths through the network of network nodes; and provisioning the second shortest paths in the network of nodes.

Abstract: An example computing device is configured to receive, from a customer device, an indication of a plurality of resources and an indication of a plurality of customer services, each of the plurality of customer services being associated with a corresponding at least one requirement and a corresponding at least one constraint. The computing device is configured to automatically determine, for each requirement and each constraint, whether the requirement or the constraint can only be satisfied by a particular resource of the plurality of resources, and allocate, based on the determining, at least one resource of the plurality of resources to at least one customer service of the plurality of customer services. The example computing device is configured to provide, to the customer device and subsequent to the determining for every requirement and for every constraint, information to enable the customer device to provision the at least one customer service.

Abstract: Techniques are described for optimizing multipaths of a segment routing-enabled network. For example, a computing device is configured to: for each link in a network layer of a multi-layer network, compute a usage (metric) of the link by all paths of a first plurality of multipaths provisioned in the network layer to compute a total usage by the first plurality of multipaths, the first plurality of multipaths having been computed and placed to a model of the network layer in a first order; compute a second plurality of multipaths, wherein the second plurality of multipaths are computed and placed, to the model of the network layer, in a second, different order; and in response to determining that the total usage by the second plurality of multipaths is less than the total usage by the first plurality of multipaths, provision the second plurality of multipaths in the network layer.

Abstract: 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.

Abstract: An example computing device is configured to receive, from a customer device, an indication of a plurality of resources and an indication of a plurality of customer services, each of the plurality of customer services being associated with a corresponding at least one requirement and a corresponding at least one constraint. The computing device is configured to automatically determine, for each requirement and each constraint, whether the requirement or the constraint can only be satisfied by a particular resource of the plurality of resources, and allocate, based on the determining, at least one resource of the plurality of resources to at least one customer service of the plurality of customer services. The example computing device is configured to provide, to the customer device and subsequent to the determining for every requirement and for every constraint, information to enable the customer device to provision the at least one customer service.

Abstract: Network management techniques are described. A controller device of this disclosure manages a device group of a network. The controller device includes processing circuitry in communication with the memory, the processing circuitry being configured to receive, using a programmable diagnosis service executed by the processing circuitry, a programming input, to form, using the programmable diagnosis service, based on the programming input, a resource definition graph that models interdependencies between a plurality of resources supported by the device group, to detect, using the programmable diagnosis service, an event affecting a first resource of the plurality of resources, and to identify, using the programmable diagnosis service, based on the interdependencies modeled in the resource definition graph formed based on the programming input, a root cause event that caused the event affecting the first resource, the root cause event occurring at a second resource of the plurality of resources.