Abstract:
Embodiments generally disclosed herein include a computer-implemented method for monitoring and correlating network traffic data associated with a primary network that is in communication with a plurality of secondary networks. The method generates a network traffic data set by monitoring network traffic between the primary network and the plurality of secondary networks. The method also determines a mapping of network connectivity by monitoring inter-network routing information between the primary network and the plurality of secondary networks. In addition, the method generates a traffic measurement data set by monitoring network utilization statistics between the primary network and the plurality of secondary networks. With the collected data sets, the method then calculates a relational network mapping between the primary network and the plurality of secondary networks by correlating the network traffic data set, the mapping of network connectivity, and the traffic measurement data set.
Abstract:
Embodiments generally disclosed herein include a computer-implemented method for monitoring and correlating network traffic data associated with a primary network that is in communication with a plurality of secondary networks. The method generates a network traffic data set by monitoring network traffic between the primary network and the plurality of secondary networks. The method also determines a mapping of network connectivity by monitoring inter-network routing information between the primary network and the plurality of secondary networks. In addition, the method generates a traffic measurement data set by monitoring network utilization statistics between the primary network and the plurality of secondary networks. With the collected data sets, the method then calculates a relational network mapping between the primary network and the plurality of secondary networks by correlating the network traffic data set, the mapping of network connectivity, and the traffic measurement data set.
Abstract:
Embodiments generally disclosed herein include a computer-implemented method for monitoring and correlating network traffic data associated with a primary network that is in communication with a plurality of secondary networks. The method generates a network traffic data set by monitoring network traffic between the primary network and the plurality of secondary networks. The method also determines a mapping of network connectivity by monitoring inter-network routing information between the primary network and the plurality of secondary networks. In addition, the method generates a traffic measurement data set by monitoring network utilization statistics between the primary network and the plurality of secondary networks. With the collected data sets, the method then calculates a relational network mapping between the primary network and the plurality of secondary networks by correlating the network traffic data set, the mapping of network connectivity, and the traffic measurement data set.
Abstract:
Embodiments generally disclosed herein include a computer-implemented method for monitoring and correlating network traffic data associated with a primary network that is in communication with a plurality of secondary networks. The method generates a network traffic data set by monitoring network traffic between the primary network and the plurality of secondary networks. The method also determines a mapping of network connectivity by monitoring inter-network routing information between the primary network and the plurality of secondary networks. In addition, the method generates a traffic measurement data set by monitoring network utilization statistics between the primary network and the plurality of secondary networks. With the collected data sets, the method then calculates a relational network mapping between the primary network and the plurality of secondary networks by correlating the network traffic data set, the mapping of network connectivity, and the traffic measurement data set.
Abstract:
A method for identifying VLANs associated with a network includes gathering actual network element configuration data from a plurality of network elements in the network, wherein the actual network element configuration data identifies one or more VLANs that at least some of the plurality of network elements are actually allocated to; correlating the actual network element configuration data with administrative VLAN data; and determining one or more VLANs that are not commonly identified in both the actual network element configuration data and the administrative VLAN data. A system includes a network monitoring system operable to gather actual network element configuration data from a plurality of network elements at one or more logical network sites, wherein the actual network element configuration data identifies one or more VLANs that at least some of the plurality of network elements are actually allocated to; and a VLAN services module operable to correlate the actual network element configuration data with administrative VLAN data, and further operable to determine one or more VLANs that are not commonly identified in both the actual network element configuration data and the administrative VLAN data.
Abstract:
Implementations described and claimed herein provide systems and methods for balancing network loads across distinct provider networks using enriched network traffic flow data. In one implementation, network traffic flow data representative of network traffic exchanged between a first provider network and a second provider network is generated. The network traffic flow data is enriched using at least one enrichment feed. A network load indication for the first provider network is calculated using the enriched network traffic flow data. The network load indication is a function of a bandwidth measurement and a distance measurement.
Abstract:
Implementations described and claimed herein providing systems and methods for modeling and visualizing interconnection relationships between a first provider network and a partner. In one implementation, a partner of a provider network is defined by at least one interconnection point where network traffic may be exchanged between the provider network and the partner. An interconnection relationship is generated based on the at least one interconnection point. The interconnection relationship is modeled.
Abstract:
A method for identifying VLANs associated with a network includes gathering actual network element configuration data from a plurality of network elements in the network, wherein the actual network element configuration data identifies one or more VLANs that at least some of the plurality of network elements are actually allocated to; correlating the actual network element configuration data with administrative VLAN data; and determining one or more VLANs that are not commonly identified in both the actual network element configuration data and the administrative VLAN data. A system includes a network monitoring system operable to gather actual network element configuration data from a plurality of network elements at one or more logical network sites, wherein the actual network element configuration data identifies one or more VLANs that at least some of the plurality of network elements are actually allocated to; and a VLAN services module operable to correlate the actual network element configuration data with administrative VLAN data, and further operable to determine one or more VLANs that are not commonly identified in both the actual network element configuration data and the administrative VLAN data.
Abstract:
Embodiments generally disclosed herein include a computer-implemented method for monitoring and correlating network traffic data associated with a primary network that is in communication with a plurality of secondary networks. The method generates a network traffic data set by monitoring network traffic between the primary network and the plurality of secondary networks. The method also determines a mapping of network connectivity by monitoring inter-network routing information between the primary network and the plurality of secondary networks. In addition, the method generates a traffic measurement data set by monitoring network utilization statistics between the primary network and the plurality of secondary networks. With the collected data sets, the method then calculates a relational network mapping between the primary network and the plurality of secondary networks by correlating the network traffic data set, the mapping of network connectivity, and the traffic measurement data set.
Abstract:
Implementations described and claimed herein provide systems and methods for balancing network loads across distinct provider networks using enriched network traffic flow data. In one implementation, network traffic flow data representative of network traffic exchanged between a first provider network and a second provider network is generated. The network traffic flow data is enriched using at least one enrichment feed. A network load indication for the first provider network is calculated using the enriched network traffic flow data. The network load indication is a function of a bandwidth measurement and a distance measurement.