PACKET NETWORK MONITORING DEVICE

• US 20080225745A1
• Filed: 03/18/2008
• Published: 09/18/2008
• Est. Priority Date: 01/29/1996
• Status: Active Grant

• Current Assignee: CommScope Technologies, LLC (CommScope Holding Company, Inc.)
• Original Assignee: ADC Telecommunications Incorporated (TE Connectivity Limited)
• Inventors: KOVUMMAL, ASHWIN, RICHARDSON, WILLIAM M., SWANSON, LESLIE H., MUKHERJEE, SANDEEPAN
• Granted Patent: US 8,811,186 B2
• Time in Patent Office: Days
• US Class Current: 370/252
• CPC Class Codes: H04L 43/022 by sampling
• CPC Class Codes: H04L 43/0847 Transmission error
• CPC Class Codes: H04L 43/12 Network monitoring probes
• CPC Class Codes: H04L 43/16 Threshold monitoring
• CPC Class Codes: H04L 43/18 Protocol analysers
• CPC Class Codes: H04L 43/50 Testing arrangements

Abstract

A network analysis device for a digital communication network includes a digitizer to digitize a waveform representing a signal to produce a plurality of digital samples indicative of the waveform. The signal is communicated on the network. The network analysis device also includes a processor operable to analyze the digital samples to identify signal events, determine analog characteristics of the signal events, and decode the signal events, which are digital communications between network devices, based on the data, to selectively predict a failure mode.

Claims

1. A method for monitoring a network, comprising:

digitizing a waveform representing a signal to produce a plurality of digital samples indicative of the waveform, wherein the signal is communicated on the network;

analyzing the digital samples to identify signal events;

determining analog characteristics of the signal events; and

decoding the signal events, which are digital communications between network devices, based on the data, to selectively predict a failure mode.

2. The method of claim 1, further comprising

classifying at least some of the signal events as collisions between network devices;

determining transmission start and stop times for colliders in the at least some of the signal events classified as collisions.

3. The method of claim 2, further comprising locating network devices that improperly react to collisions with other network devices by reference to the start and stop times.

4. The method of claim 1, further comprising identifying sources of transmissions on the network by calculating parameters for transmissions from known sources, calculating the parameters for a transmission from an unknown source, and identifying the unknown source based upon the degree to which the parameters match parameters from the known sources.

5. The method of claim 1, further comprising classifying at least some of the signal events as digital communications, noise, interference and/or crosstalk based on the analog characteristics.

6. The method of claim 1, further comprising classifying at least some of the signal events as digital communications, noise, interference and/or crosstalk based using parametric analysis of each event.

7. The method of claim 1, further comprising simultaneously connecting to multiple links of the network.

8. The method of claim 7, further comprising simultaneously connecting to multiple links of a star topology network.

9. The method of claim 7, further comprising tagging at least some of the signal events to identify the link from which the respective signal event originated.

10. The method of claim 9, further comprising determining whether the network communications are within frequency and voltage specifications for the network.

11. The method of claim 9, further comprising analyzing transmission characteristics of the network analysis by driving a predetermined signal out onto the network and detecting the response of the network.

12. A network analysis device for a digital communication network, the network analysis device comprising:

a digitizer to digitize a waveform representing a signal to produce a plurality of digital samples indicative of the waveform, wherein the signal is communicated on the network; and

a processor operable to analyze the digital samples to identify signal events, determine analog characteristics of the signal events; and

decode the signal events, which are digital communications between network devices, based on the data, to selectively predict a failure mode.

13. The network analysis device of claim 12, wherein the processor is further operable to:

classify at least some of the signal events as collisions between network devices; and

determine transmission start and stop times for colliders in the at least some of the signal events classified as collisions.

14. The network analysis device of claim 13, wherein the processor is further operable to locate network devices that improperly react to collisions with other network devices by reference to the start and stop times.

15. The network analysis device of claim 12, wherein the processor is further operable to identify sources of transmissions on the network by calculating parameters for transmissions from known sources, calculate the parameters for a transmission from an unknown source, and identify the unknown source based upon the degree to which the parameters match parameters from the known sources.

16. The network analysis device of claim 12, wherein the processor is further operable to classify at least some of the signal events as digital communications, noise, interference and/or crosstalk based on the analog characteristics.

17. The network analysis device of claim 12, wherein the processor is further operable to classify at least some of the signal events as digital communications, noise, interference and/or crosstalk based using parametric analysis of each event.

18. A network comprising:

a plurality of network devices that are communicatively coupled to one another over at least one communication medium; and

a network analysis device that;

digitizes a waveform representing a signal to produce a plurality of digital samples indicative of the waveform, wherein the signal is communicated on the network;

analyzing the digital samples to identify signal events;

determining analog characteristics of the signal events; and

decoding the signal events, which are digital communications between network devices, based on the data, to selectively predict a failure mode.

19. The network of claim 18, wherein the network comprises at least one of a local area network, a wide area network, and a metropolitan area network.

20. The network of claim 18, wherein the communication medium comprises at least one of a copper communication medium and an optical communication medium.