Abstract: The disclosed computer-implemented method may include (i) generating a data center constraint model by placing a constraint on a total amount of ingress or egress traffic a service expects from each respective data center of multiple data centers, (ii) filtering a set of traffic matrices that indicate points in the data center constraint model by comparing the set of traffic matrices against cut sets of a network topology that indicate network failures to create a tractable set of dominating traffic matrices, (iii) obtaining physical network resources to implement a cross-layer network upgrade architecture that satisfies the tractable set of dominating traffic matrices, and (iv) allocating the physical network resources across the multiple data centers according to the cross-layer network upgrade architecture such that a capacity level of the multiple data centers is increased while satisfying the data center constraint model. Various other methods, systems, and computer-readable media are also disclosed.

Abstract: A method and system for allocating network resources are described. The method includes receiving a plurality of forecasted network traffic patterns for a network. A representative subset of the plurality of forecasted network traffic patterns is selected based on an analysis of the plurality of forecasted network traffic patterns using a topology of the network. The selected representative subset of the plurality of forecasted network traffic patterns is used to determine a resource allocation for the network.

Abstract: Disclosed embodiments include a method of operation of a distributed network system. The method includes nodes of the network system that send messages over a protocol-independent message bus, and other nodes that receive the messages. Content from the received messages can be stored in a database distributed among nodes of the network system. At least some of the content stored in the database is published. The published content can be accessed by one or more applications to perform one or more functions.

Abstract: A specification of network paths between a group of computer network routers is received and possible route paths between routers of the group of computer network routers are determined. A unique identifier is assigned to each route path of the possible route paths. A preferred route path of network traffic between a source computer network router and a destination computer network router among the group of computer network routers is determined and the unique identifier assigned to the preferred route path is identified. A specification of the identified unique identifier and a specification of at least a portion of the preferred route path that corresponds to the identified unique identifier are provided to at least the computer network routers in the preferred route path.

Abstract: Disclosed embodiments include a method of operation of a distributed network system. The method includes nodes of the network system that send messages over a protocol-independent message bus, and other nodes that receive the messages. Content from the received messages can be stored in a database distributed among nodes of the network system. At least some of the content stored in the database is published. The published content can be accessed by one or more applications to perform one or more functions.

Abstract: A specification of network paths between a group of computer network routers is received and possible route paths between routers of the group of computer network routers are determined. A unique identifier is assigned to each route path of the possible route paths. A preferred route path of network traffic between a source computer network router and a destination computer network router among the group of computer network routers is determined and the unique identifier assigned to the preferred route path is identified. A specification of the identified unique identifier and a specification of at least a portion of the preferred route path that corresponds to the identified unique identifier are provided to at least the computer network routers in the preferred route path.

Abstract: Disclosed embodiments include a method of operation of a distributed network system. The method includes nodes of the network system that send messages over a protocol-independent message bus, and other nodes that receive the messages. Content from the received messages can be stored in a database distributed among nodes of the network system. At least some of the content stored in the database is published. The published content can be accessed by one or more applications to perform one or more functions.

Abstract: A network topology is analyzed to identify shared risk link groups, the edge diversities of paths, and maximally diverse edges for paths. During operation of the network for conveying data packets between two end points, data flows are routed in the network by prioritizing the use of resources that do not belong to a shared risk group and are maximally diverse with other edges already being used. Various load balancing techniques can be used to minimize the risk of serious disruption in the event an underlying resource of a shared risk link group goes down.

Abstract: Disclosed embodiments include a method of operation of a distributed network system. The method includes nodes of the network system that send messages over a protocol-independent message bus, and other nodes that receive the messages. Content from the received messages can be stored in a database distributed among nodes of the network system. At least some of the content stored in the database is published. The published content can be accessed by one or more applications to perform one or more functions.

Abstract: A network topology is analyzed to identify shared risk link groups, the edge diversities of paths, and maximally diverse edges for paths. During operation of the network for conveying data packets between two end points, data flows are routed in the network by prioritizing the use of resources that do not belong to a shared risk group and are maximally diverse with other edges already being used. Various load balancing techniques can be used to minimize the risk of serious disruption in the event an underlying resource of a shared risk link group goes down.