Method and system for grouping diagnostic information
View Patent ↗Client network traffic data and server network traffic data regarding a number of network nodes is collected and then grouped by IP address. The network nodes are divided into logical groupings and the network traffic data is presented in the aggregate for all IP addresses in each logical group. The logical groupings may be further divided by protocol, application, port and/or logical group-to-group. Each logical group can be further generalized as either a set of IP addresses (e.g., a business group) or a specific logical link between one set of IP addresses to another set of IP addresses (e.g., a business group link). Either or both of these “groups” may be divided in further logical sub-groups: for example, by protocol, application, port and in the case of business groups, group-to-group. The logical groups provide facilities for initial problem detection and identification while the logical sub-groups provide facilities for troubleshooting and problem isolation.
1. A method for grouping network diagnostic information on a network analysis system, comprising:
collecting, on the network analysis system, client network traffic data and server network traffic data regarding a plurality of network nodes;
grouping, on the network analysis system, the client network traffic data and the server network traffic by IP address into total network traffic data;
dividing, on the network analysis system, the plurality of network nodes into one or more logical groups containing one or more IP addresses, wherein at least one of the one or more logical groups includes a plurality of logical sub-groups; and
presenting, on the network analysis system, a user interface that allows a user to selectively view statistics associated with the total network traffic data for each logical group, and each logical sub-group.
2. The method of claim 1 , wherein the statistics include total network traffic throughput.
3. The method of claim 1 , wherein the statistics include total incoming network traffic.
4. The method of claim 1 , wherein the statistics include total outgoing network traffic for the logical group.
5. The method of claim 1 , wherein the statistics include total network traffic between logical groups.
6. The method of claim 1 , wherein presenting the statistics includes presenting the total network traffic data from the perspective of a selected logical group or sub-group.
7. The method of claim 1 , further comprising presenting a node-level view of the total network traffic data for each logical group or sub-group.
8. The method of claim 7 , wherein presenting the node-level view includes presenting the total network traffic data from the perspective of a selected logical group or sub-group.
9. The method of claim 1 , further comprising presenting an application-level view of the total network traffic data for all IP addresses in each logical group or sub-group.
10. The method of claim 9 , wherein presenting the application-level view includes presenting the total network traffic data from a perspective of a selected logical group or sub-group.
11. The method of claim 1 , wherein the statistics include time-binned statistics.
12. The method of claim 1 , wherein the statistics include region-independent application response time.
13. The method of claim 12 , wherein the region-independent application response time is measured by subtracting a server-side latency from an overall client-server response time.
14. The method of claim 1 , wherein the statistics are presented so as to include vector and scalar role-based metrics.
15. The method of claim 14 , wherein the vector and scalar role-based metrics are presented in side-by-side fashion.
16. The method of claim 14 , wherein the vector metrics comprise metrics having an associated direction.
17. The method of claim 14 , wherein the scalar role-based metrics comprise metrics associated with a logical group or sub-group either when the logical group or sub-group is acting as a server or as a client.
18. The method of claim 1 , wherein the statistics include total network traffic by protocol.
19. The method of claim 1 , wherein the statistics include total network traffic by ports.
20. The method of claim 1 , wherein the statistics include total network traffic by application.
21. The method of claim 1 , wherein the statistics include total network traffic by member-connected IP address per logical group or sub-group.
22. The method of claim 21 , wherein presenting the statistics includes, presenting, for each logical group or sub-group, the traffic data by any or all of a logical group or sub-group member IP address, a logical group or sub-group connected IP address, a logical group or sub-group member and then a logical group or sub-group connected IP address, and a logical group or sub-group connected and then a logical group or sub-group member IP address.
23. The method of claim 1 , wherein the statistics include total network traffic by member-connected IP address per logical application sub-group.
24. The method of claim 1 , wherein the statistics include total network traffic by member-connected IP address per logical group-to-group connection.
25. The method of claim 1 , wherein the statistics include total network traffic by member-connected IP address per logical application group-to-group connection.
26. The method of claim 1 , wherein the statistics include total network traffic by member-connected IP address per logical port sub-group.
27. The method of claim 1 , wherein the statistics are presented in a role-based fashion for the IP addresses.
28. The method of claim 1 , wherein the statistics are presented with from a standpoint of a common reference point.
29. A non-transitory computer storage medium upon which is stored a computer program comprising instructions, which when executed on a processor, cause the processor to
collect client network traffic data and server network traffic data regarding a plurality of network nodes;
group the client network traffic data and server network traffic by IP address into total network traffic data; divide the plurality of network nodes into one or more logical groups containing one or more IP addresses wherein at least one of the logical groups includes a plurality of sub-groups; and
present, via a display device, a user interface that allows a user to selectively view statistics associated with the total network traffic data for each logical group and sub-group.
30. A computer-implemented method for execution on a network analysis system, comprising
grouping, on the network analysis system, into a plurality of logical units network traffic data regarding a number of network nodes; and
subsequently presenting, on the network analysis system, the network traffic data according to a selected logical sub-grouping of one of the logical units, the sub-grouping being one of: a protocol sub-group, an application sub-group, a port sub-group or a logical group-to-group sub-group.
31. The computer-implemented method of claim 30 , wherein one or more of the logical units comprises a set of IP addresses.
32. The computer-implemented method of claim 30 , wherein one or more of the logical units comprises a logical link between one set of IP addresses and another set of IP addresses.
33. The computer-implemented method of claim 30 , wherein presenting the network traffic data includes presenting total network traffic throughput for the logical units.
34. The computer-implemented method of claim 30 , wherein presenting the network traffic data includes presenting total incoming network traffic for the logical units.
35. The computer-implemented method of claim 30 , wherein presenting the network traffic data includes presenting total outgoing network traffic for the logical units.
36. The computer-implemented method of claim 30 , wherein presenting the network traffic data includes presenting total network traffic between logical units.
37. The computer-implemented method of claim 30 , wherein presenting the network traffic data includes presenting total network traffic data from a perspective of a selected logical unit.
38. The computer-implemented method of claim 30 , further comprising presenting a node-level view of the network traffic data for each logical unit.
39. The computer-implemented method of claim 38 , wherein presenting the node-level view includes presenting total network traffic data from a perspective of a selected logical unit.
40. The computer-implemented method of claim 30 , further comprising presenting an application-level view of the network traffic data for all IP addresses in each logical unit.
41. The computer-implemented method of claim 40 , wherein presenting the application-level view of the network traffic data includes presenting the network traffic data from a perspective of a selected logical unit.
42. The computer-implemented method of claim 40 , wherein the network traffic data includes time-binned statistics.
43. The computer-implemented method of claim 40 , wherein the network traffic data includes region-independent application response time.
44. The computer-implemented method of claim 40 , wherein region-independent application response time is measured by subtracting a server-side latency from an overall client-server response time.
45. The computer-implemented method of claim 40 , wherein the network traffic data is presented so as to include vector and scalar role-based metrics.
46. The computer-implemented method of claim 45 , wherein the vector and scalar role-based metrics are presented in side-by-side fashion.
47. The computer-implemented method of claim 40 , wherein presenting the network traffic data includes presenting network traffic by protocol.
48. The computer-implemented method of claim 40 , wherein presenting the network traffic data includes presenting network traffic by ports.
49. The computer-implemented method of claim 40 , wherein presenting the network traffic data includes presenting network traffic by application.
50. The computer-implemented method of claim 40 , wherein presenting the network traffic data includes presenting network traffic by member-connected IP address per logical unit.
51. The computer-implemented method of claim 40 , wherein presenting the network traffic data includes presenting network traffic by member-connected IP address per logical application sub-group.
52. The computer-implemented method of claim 40 , wherein presenting the network traffic data includes presenting network traffic by member-connected IP address per logical group-to-group connection.
53. The computer-implemented method of claim 40 , wherein presenting the network traffic data includes presenting network traffic by member-connected IP address per logical application group-to-group connection.
54. The computer-implemented method of claim 40 , wherein the network traffic data is presented in a role-based fashion for each IP address associated with each logical unit.