Abstract: Systems and methods include, responsive to defining a routing graph that includes vertices for each node of a plurality of nodes in a network and edges for links interconnecting the plurality of nodes, receiving a request for k shortest paths, where k is an integer>0, between a source node and a destination node of the plurality of nodes; and determining the k shortest paths utilizing a k-shortest path algorithm that utilizes two threads in parallel for each shortest path query, wherein the two threads include i) a shortest path query from the source node to the destination node and ii) a shortest path query from the destination node to the source node. The determining further includes, responsive to a first thread in each shortest path query obtaining a result, utilizing the result from the first thread and terminating a second thread.

Abstract: Systems and methods include receiving network data from a network; estimating large flows from the network data utilizing a first statistical approach; responsive to the network being large flow dominant, recursively estimating flows in the network utilizing the first statistical approach until an exit condition is reached; and combining the recursively estimated flows and forming a traffic matrix based thereon. The recursively estimating flows can include estimating a set of large flows utilizing the first statistical approach and freezing a resulting estimate while leaving smaller flows unsolved; repeating the estimating for a next set of large flows from the unsolved smaller flows; and continuing the repeating until the exit condition is reached.

Abstract: Systems and methods include receiving network topology information of a network including a plurality of routers; receiving link measurements defining bandwidth on links in the network; determining routes in the network based on the network topology information; and utilizing the routes and the link measurements to determine an estimate of an initial traffic matrix that includes the bandwidth between origin routers and destination routers.

Abstract: Systems and methods include creating a graph of a network having i) vertices representing ports, and ii) edges representing possible connections between vertices; receiving a request for one or more paths in the network; traversing the graph to determine the one or more paths; responsive to encountering a non-local constraint in the graph, adding a traversal state based thereon; and responsive to satisfying the non-local constraint in the graph, removing the traversal state based thereon.

Abstract: Systems and methods for constrained path computation in networks with connectivity and resource availability rules build the necessary constraints directly into the routing graph so that all paths found are by construction satisfying of all the constraints. This is in contrast to the conventional approach of finding multiple paths and then applying the constraints. The present disclosure efficiently addresses the necessary constraints in the routing graph. Path Computation Engine (PCE) performance in terms of time to return acceptable paths to the user generically degrades as network scale (typically expressed through length and number of paths) increases. The present disclosure keeps the input graph small even though the graphs have expanded functionality to address constraints.

Abstract: Systems and methods include receiving network topology information of a network including a plurality of routers; receiving link measurements defining bandwidth on links in the network; determining routes in the network based on the network topology information; and utilizing the routes and the link measurements to determine an estimate of an initial traffic matrix that includes the bandwidth between origin routers and destination routers.

Abstract: Systems and methods include receiving a request for a path from a source node to a destination node in a network with the request including N unordered inclusion nodes, N?1; adding a virtual vertex in a graph with edges connected to each of the N inclusion nodes, wherein the graph includes the virtual vertex, vertices representing nodes in the network, and edges representing links; determining a shortest path from the source node to the virtual vertex and removing an edge from a first inclusion node, that is on the shortest path, from the virtual vertex; if N>1, determining a shortest path N times to find path segments between the N inclusion nodes, removing an edge from each of the N inclusion nodes from the virtual vertex when on a corresponding shortest path; and determining a shortest path from a last inclusion node to the destination node.

Abstract: Systems and methods include, responsive to defining a routing graph that includes vertices for each node of a plurality of nodes in a network and edges for links interconnecting the plurality of nodes, receiving a request for k shortest paths, where k is an integer>0, between a source node and a destination node of the plurality of nodes; and determining the k shortest paths utilizing a k-shortest path algorithm that utilizes two threads in parallel for each shortest path query, wherein the two threads include i) a shortest path query from the source node to the destination node and ii) a shortest path query from the destination node to the source node. The determining further includes, responsive to a first thread in each shortest path query obtaining a result, utilizing the result from the first thread and terminating a second thread.

Abstract: High performance and scalable multi-layer topology discovery systems and methods provide awareness of what services are present across a multi-layer network. The present disclosure achieves a high level of performance in service discovery, and, in addition, provides a form of scalability in proportion to network size by distributing service observation across servers in a cluster. The present disclosure defines a concept of change-proportional online run-time efficiency and thus provides an optimal design. Further, the present disclosure achieves horizontal scale, leveraging multiple cores across multiple servers.

Abstract: An orchestration layer includes one or more processing devices communicatively coupled to a plurality of domains in a multi-domain network, wherein the one or more processing devices are configured to receive a request for a path, wherein the path is requested from a source in a first domain to a destination in a second domain in a multi-domain network including a plurality of domains, relay the request to each domain in the multi-domain network, and wherein each domain in the multi-domain network is configured to compute a matrix fragment and the matrix fragments from a plurality of domains are used to find the path, and provide a response with the path from the source in the first domain to the destination in the second domain.

Abstract: Systems and methods for constrained path computation in networks with connectivity and resource availability rules build the necessary constraints directly into the routing graph so that all paths found are by construction satisfying of all the constraints. This is in contrast to the conventional approach of finding multiple paths and then applying the constraints. The present disclosure efficiently addresses the necessary constraints in the routing graph. Path Computation Engine (PCE) performance in terms of time to return acceptable paths to the user generically degrades as network scale (typically expressed through length and number of paths) increases. The present disclosure keeps the input graph small even though the graphs have expanded functionality to address constraints.

Abstract: High performance and scalable multi-layer topology discovery systems and methods provide awareness of what services are present across a multi-layer network. The present disclosure achieves a high level of performance in service discovery, and, in addition, provides a form of scalability in proportion to network size by distributing service observation across servers in a cluster. The present disclosure defines a concept of change-proportional online run-time efficiency and thus provides an optimal design. Further, the present disclosure achieves horizontal scale, leveraging multiple cores across multiple servers.