Network traffic generation and monitoring systems and methods for their use in testing frameworks for determining suitability of a network for target applications

• US 20030086425A1
• Filed: 10/15/2002
• Published: 05/08/2003
• Est. Priority Date: 10/15/2001
• Status: Active Grant

• Current Assignee: TP-Link USA Corporation (TP-Link Technologies Co Limited)
• Original Assignee: Avaya Incorporated
• Inventors: Denby, Lorraine, Meloche, Jean, Stott, David Thomas, Whitehead, Clayton, Bearden, Mark J., Sullivan, Shane M., Kane, Kenneth, Karacali, Bengi
• Granted Patent: US 7,633,942 B2
• Time in Patent Office: Days
• US Class Current: 370/392
• CPC Class Codes: H04L 41/0213 Standardised network management protocols, e.g. simple network management protocol [SNMP]
• CPC Class Codes: H04L 41/0631 using root cause analysis; using analysis of correlation between notifications, alarms or events based on decision criteria, e.g. hierarchy, tree or time analysis
• CPC Class Codes: H04L 41/0681 Configuration of triggering conditions
• CPC Class Codes: H04L 41/12 Discovery or management of network topologies
• CPC Class Codes: H04L 41/22 comprising specially adapted graphical user interfaces [GUI]
• CPC Class Codes: H04L 41/50 Network service management, e.g. ensuring proper service fulfilment according to agreements
• CPC Class Codes: H04L 43/0823 Errors, e.g. transmission errors
• CPC Class Codes: H04L 43/0876 Network utilisation, e.g. volume of load or congestion level
• CPC Class Codes: H04L 43/50 Testing arrangements
• CPC Class Codes: H04M 3/2236 Quality of speech transmission monitoring
• CPC Class Codes: H04M 3/2254 in networks
• CPC Class Codes: H04M 7/006 Networks other than PSTN/ISDN providing telephone service, e.g. Voice over Internet Protocol (VoIP) , including next generation networks with a packet-switched transport layer H04L65/00 takes precedence; aspects not specific to the type of network H04M3/00; special services in those networks H04M3/42

Abstract

A system for monitoring traffic on a network first discovers the network so as to map the various devices and links in the network. Statistics are then gathered from various points in the network relating to quality of service, and especially loads on the network devices. Synthetic calls are generated at selected points of the network while monitoring the network. This data is then stored and displayed in a manner that is easy for the operator to analyze, with more detailed displays being available through the use of a mouse or keystrokes.

Claims

1. A method for determining information pertaining to a call traveling through a network at a given time, comprising:

determining a network path the call traverses at the given time;

determining load, utilization, and error statistics on all network devices on the call path at the given time; and

determining end-to-end quality of the call at the given time.

4. The method according to claim 1, further comprising:

determining all network paths traversed by calls during the given time interval;

determining load, utilization, and error statistics on all devices in the network during a given time interval;

determining the quality of all calls during the given time interval;

storing such information in a data store organized to handle significant volumes of data; and

integrating on a common time scale simultaneous call path, call quality, network path utilization measurements.

5. The method according to claim 4, wherein said step of determining the network path at the given time includes:

determining a layer-3 path between the endpoints of a call based on topological discovery; and

determining a multi-layer path between endpoints of a call based on topological discovery.

6. The method according to claim 4, wherein said step of determining the network path at a given time includes determining a layer-3 path between endpoints of a call based on collecting trace route information.

7. The method according to claim 4, wherein said step of determining the load, utilization, and error statistics on all network devices on the call path includes:

polling devices in said network with SNMP requests at regular intervals in the order of seconds;

time stamping each SNMP request;

receiving responses from said devices in response to said SNMP requests;

time stamping each SNMP response;

detecting load states in each device from said responses;

determining utilization and error variable data for each device; and

storing said load states, utilization and error variable data in a data store.

8. The method according to claim 4, wherein said step of determining the quality of a call includes:

injecting synthetic calls into the network with various parameters to reflect different types of traffic;

time stamping each synthetic call when injected;

measuring metrics indicative of quality of injected calls; and

storing said metrics and a time of measurement in a data store.

9. The method according to claim 8, wherein said metric is end-to-end one-way delay for at least one direction of voice transmission in a call.

10. The method according to claim 8, wherein said metric is jitter for at least one direction of voice transmission in a call.

11. The method according to claim 8, wherein said metric is packet loss for at least one direction of voice transmission in a call.

12. The method according to claim 8, wherein said quality variable data is packet loss burst for at least one direction of voice transmission in a call.

13. The method according to claim 8, wherein the injected synthetic calls are automatically generated at topologically chosen positions.

14. The method according to claim 4, wherein the said step of integrating call path, call quality, network path utilization measurements includes automatic integration of all measurements based on data in the data store.

15. The method according to claim 14, further comprising:

determining information pertaining to a call traveling through a network at a given time interval, which includes;

determining the network paths the call traverses during the given time interval;

determining the load, utilization, and error statistics on all network devices on the call paths during the given time interval; and

determining the end-to-end quality of the call during the given time interval.

16. The method according to claim 14, further comprising:

determining information pertaining to a call path in a network during a given time interval, which includes;

determining the load, utilization; and

error statistics on all network devices on the path during the time interval;

determining the calls going over the path during the time interval; and

determining the end-to-end quality incurred by all calls going over the path during the time interval.

17. The method according to claim 14, further comprising:

determining information pertaining to a network device at a given time interval, which includes;

determining the load, utilization, and error statistics during the time interval; and

determining the quality incurred by all calls going over the device during the time interval.

2. A method for determining information pertaining to a call path in a network at a given time, comprising:

determining load, utilization, and error statistics on all network devices on the path at the time;

determining number of calls going over the path at the time; and

determining end-to-end quality incurred by all calls going over the path at the time.

3. A method for determining information pertaining to a network device at a given time, comprising:

determining load, utilization, and error statistics of said device at the time; and

determining quality incurred by all calls going over the device at the time.

18. A system for determining the paths of calls traveling through a network comprising:

an apparatus for automatically conducting topological discovery;

an apparatus for automatically collecting trace route information; and

an apparatus for storing the collected information in the data store.

19. A system for measuring network device utilization data comprising:

an apparatus for automatically sending and receiving SNMP requests at regular intervals;

an apparatus for computing metrics pertaining to each interval; and

an apparatus for storing said computed metric in the data store.

20. A system for measuring call quality comprising:

an apparatus for injecting synthesized traffic;

an apparatus for coordinating the injection of traffic to reflect different types of configurations;

an apparatus for computing metrics indicative of call quality pertaining to each call; and

an apparatus for storing said computed metric in the data store.

21. A system for integrating call path, call quality, network path utilization measurements comprising:

an apparatus for accessing data store; and

an apparatus for automatically analyzing the data.

22. A method for use in assessing the quality of service (QoS) in a network with respect to target applications comprising:

collecting simultaneous network measurements consisting of network paths, traffic on network devices, and QoS measurements across network paths; and

relating the said simultaneous measurements on the same time scale.

23. The method according to claim 22, wherein determining network paths includes:

determining layer-3 paths between network devices based on topological discovery; and

determining multi-layer paths between network devices based on topological discovery.

24. The method according to claim 22, wherein determining paths between network devices includes collecting trace route information and storing such information along with the time of measurement in the data store.

25. The method according to claim 22, wherein determining traffic on network devices includes:

polling devices in the said network with requests at regular intervals on the order of seconds;

time stamping each request;

receiving responses from said devices in response to said requests;

time stamping each response;

determining the load, utilization, and error statistics for each device; and

storing said load, utilization and error statistics along with the time of measurement in a data store.

26. The method according to claim 22, wherein determining the QoS across network paths includes:

injecting synthetic traffic into the network at regular intervals between endpoints placed throughout the network;

synthesizing the injected traffic with various parameters to reflect different types of traffic characteristics;

time stamping the injected traffic;

measuring metrics indicative of QoS received by injected traffic; and

storing said metrics along with the time of measurement in a data store.

27. The method according to claim 26, wherein the parameters of synthetic traffic injected between two endpoints at regular intervals include duration of the interval, duration between two consecutive intervals, packets size, codec, and QoS markings (TOS, Diffserv, VLAN tags).

28. The method according to claim 27, wherein the parameters of the injected traffic are configurable to reflect the characteristics of the target application.

29. The method according to claim 26, wherein said metric is end-to-end one-way delay for traffic flowing between two endpoints.

30. The method according to claim 29, wherein said metric is jitter for traffic flowing in both directions between two endpoints.

31. The method according to claim 29, wherein said metric is packet loss for traffic flowing in both directions between two endpoints.

32. The method according to claim 29, wherein said metric is packet loss burst for traffic flowing in both directions between two endpoints.

33. The method according to claim 26, wherein the injected synthetic traffic is automatically generated between topologically chosen endpoints.

34. The method according to claim 22, wherein said step of relating simultaneous measurements consisting of network paths, traffic on network devices, and QoS across network paths comprises:

determining all network paths traversed by injected traffic at a given time using the data store;

determining the load, utilization, and error statistics on all network devices at a given time using the data store;

determining the end-to-end QoS incurred by synthetic traffic at a given time using the data store; and

integrating the said simultaneous information on the same time scale.

35. The method according to claim 34, further comprising:

determining information pertaining to synthetic traffic traveling through a network at a given time, which includes;

determining the network path the synthetic traffic traverses at the time;

determining load, utilization, and error statistics on all network devices on the path of the synthetic traffic at the time; and

determining end-to-end QoS incurred by the synthetic traffic at the time.

36. The method according to claim 34 further comprising:

determining information pertaining to a path between two endpoints in the network at a given time, which includes;

determining load, utilization, and error statistics on all network devices on the path at the time; and

determining end-to-end quality of service incurred by the synthetic traffic going over the path at the time.

37. The method according to claim 34, further comprising:

determining information pertaining to a network device at a given time, which includes;

determining load, utilization, and error statistics of the said device at the time; and

determining the quality of service incurred by the synthetic traffic going over the device at the time.

38. The method according to claim 34, further comprising:

determining information pertaining to synthetic traffic traveling through a network at a given time interval, which includes;

determining the network paths the synthetic traffic traverses during the given time interval;

determining the load, utilization, and error statistics on all network devices on the paths of the synthetic traffic during the given time interval; and

determining the end-to-end quality of service incurred by the synthetic traffic during the given time interval.

39. The method according to claim 34, further comprising:

determining information pertaining to the path between two endpoints in a network during a time interval, which includes;

determining the load, utilization, and error statistics on all network devices on the path during the time interval; and

determining the end-to-end quality of service incurred by synthetic traffic going over the path during the time interval.

40. The method according to claim 34 further comprising:

determining information pertaining to a network device at a given time interval, which includes;

determining the load, utilization, and error statistics during the time interval; and

determining the quality of service incurred by synthetic traffic going over the device during the time interval.

41. A system for collecting simultaneous network measurements consisting of network paths, traffic on network devices, and QoS measurements across network paths;

and integrating the said simultaneous measurements on the same time scale, comprising;

an apparatus for conducting topological discovery;

an apparatus for collecting trace route information;

an apparatus for sending and receiving device polling requests at regular intervals;

an apparatus for storing the collected load, utilization, and error statistics for network devices in the data store;

an apparatus for injecting synthetic traffic;

an apparatus for coordinating the injection of traffic to reflect different types of network configurations and traffic parameters;

an apparatus for computing metrics indicative of the QoS received by the synthetic traffic;

an apparatus for storing the said collected information in the data store;

an apparatus for accessing data store, and

an apparatus for relating simultaneous network measurements in the data store on the same timescale.