System and method for network information mapping and displaying
This disclosure generally relate to a method and system for mapping network information. The present technology relates techniques that enable full-scale, dynamic network mapping of a network system. By collecting network and computing data using built-in sensors, the present technology can provide network information for system monitoring and maintenance. According to some embodiments, the present technology enables generating and displaying of network connections and data processing statistics related to numerous nodes in a network. The present technology provides useful insights and actionable knowledge for network monitoring, security, and maintenance, via intelligently summarizing and effectively displaying the complex network communications and processes of a network.
1. A method comprising:
receiving aggregate network flow data using a plurality of sensors associated with a network;
determining node attributes associated with a plurality of nodes of the network, the node attributes representing at least one portion of distinctive process data or distinctive network data;
determining a score for each of the plurality of nodes based upon the determined node attributes;
generating a plurality of node clusters, based on the determined scores, from the plurality of nodes;
determining a priority order of the node attributes of the node clusters based at least on one of the distinctive process data and the distinctive network data;
displaying, on a user interface, the node attributes of the node clusters in the priority order;
receiving one or more adjustments to the aggregate network flow data;
determining updated node attributes associated with each of the plurality of nodes;
generating an updated priority order of node attributes of the node clusters based at least on updated distinctive process data and updated distinctive network data; and
displaying, on the user interface, the updated node attributes of the node clusters in the updated priority order.
2. The method of claim 1 , wherein the plurality of sensors include at least a first sensor of a physical switch of the network, a second sensor of a hypervisor associated with the physical switch, a third sensor of a virtual machine associated with the hypervisor.
3. The method of claim 1 , further comprising:
determining, based at least in part on the aggregate network flow data, a first dependency map executing in the network, the first dependency map indicating a pattern of network traffic.
4. The method of claim 3 , further comprising:
determining, based at least in part on adjusted aggregate network flow data, a second dependency map executing in the network; and
comparing the second dependency map to the first dependency map to generate a summary of the one or more adjustments including changing the number of nodes in a node cluster.
5. A system comprising:
one or more processors; and
memory including instructions that, upon being executed by the one or more processors, cause the system to perform operations comprising:
receiving aggregate network flow data using a plurality of sensors associated with a network;
determining node attributes associated with a plurality of nodes of the network, the node attributes representing at least one portion of distinctive process data or distinctive network data;
determining a score for each of the plurality of nodes based upon the determined node attributes;
generating a plurality of node clusters, based on the determined scores, from the plurality of nodes;
determining a priority order of the node attributes of the node clusters based at least on one of the distinctive process data and the distinctive network data;
displaying, on a user interface, the node attributes of the node clusters in the priority order;
receiving one or more adjustments to the aggregate network flow data;
determining updated node attributes associated with each of the plurality of nodes;
generating an updated priority order of node attributes of the node clusters based at least on updated distinctive process data and updated distinctive network data; and
displaying, on the user interface, the updated node attributes of the node clusters in the updated priority order.
6. The system of claim 5 , wherein the plurality of sensors include at least a first sensor of a physical switch of the network, a second sensor of a hypervisor associated with the physical switch, a third sensor of a virtual machine associated with the hypervisor.
7. The system of claim 5 , the operations further comprising determining, based at least in part on the aggregate network flow data, a first dependency map executing in the network, the first dependency map indicating a pattern of network traffic.
8. The system of claim 7 , the operations further comprising:
determining, based at least in part on adjusted aggregate network flow data, a second dependency map executing in the network; and
comparing the second dependency map to the first dependency map to generate a summary of the one or more adjustments including changing the number of nodes in a node cluster.
9. A non-transitory computer-readable storage media having stored therein instructions that, upon being executed by a processor, cause the processor to perform operations comprising:
receiving aggregate network flow data using a plurality of sensors associated with a network;
determining node attributes associated with a plurality of nodes of the network, the node attributes representing at least one portion of distinctive process data or distinctive network data;
determining a score for each of the plurality of nodes based upon the determined node attributes;
generating a plurality of node clusters, based on the determined scores, from the plurality of nodes;
determining a priority order of the node attributes of the node clusters based at least on one of the distinctive process data and the distinctive network data;
displaying, on a user interface, the node attributes of the node clusters in the priority order;
receiving one or more adjustments to the aggregate network flow data;
determining updated node attributes associated with each of the plurality of nodes;
generating an updated priority order of node attributes of the node clusters based at least on updated distinctive process data and updated distinctive network data; and
displaying, on the user interface, the updated node attributes of the node clusters in the updated priority order.
10. The media of claim 9 , wherein the plurality of sensors include at least a first sensor of a physical switch of the network, a second sensor of a hypervisor associated with the physical switch, a third sensor of a virtual machine associated with the hypervisor.
11. The media of claim 9 , the operations further comprising determining, based at least in part on the aggregate network flow data, a first dependency map executing in the network, the first dependency map indicating a pattern of network traffic.
12. The media of claim 11 , the operations further comprising:
determining, based at least in part on adjusted aggregate network flow data, a second dependency map executing in the network; and
comparing the second dependency map to the first dependency map to generate a summary of the one or more adjustments including changing the number of nodes in a node cluster.