Method and apparatus for network analysis

• US 5,664,105 A
• Filed: 10/04/1994
• Issued: 09/02/1997
• Est. Priority Date: 10/04/1994
• Status: Expired due to Term

• Current Assignee: Fluke Corporation (Fortive Corp.)
• Original Assignee: Fluke Corporation (Fortive Corp.)
• Inventors: Keisling, Mark D., Clabaugh, Christopher A., Marbaker, William R., Jensen, Gordon A.
• Primary Examiner(s): Geckil, Mehmet B.
• Application Number:
  US08/317,739
• Time in Patent Office: 1,064 Days
• Field of Search: 395/200.11, 395/800, 395/200.17, 395/185.15, 395/200.4, 395/183.15, 395/183.13
• US Class Current: 709/224
• CPC Class Codes: H04L 12/40032 Details regarding a bus interface enhancer
• CPC Class Codes: H04L 12/413 with random access, e.g. carrier-sense multiple-access with collision detection [CSMA-CD]
• CPC Class Codes: H04L 43/00 Arrangements for monitoring or testing data switching networks

Abstract

A network analysis instrument employs a CPU, display and field programmable gate array circuitry to receive network data and detect various error conditions. Percent utilization is determined and information pertaining thereto is displayed to provide a user with information regarding network operating conditions. Ghosts are detected as well as collisions, jabber conditions and runt conditions.

Claims

1. A network analyzer for performing analysis of an active network, wherein the network comprises multiple stations interconnected by a data link, comprising:

means for connecting the network analyzer to the data link as a station node;

a receiver for receiving data traffic from the data link; and

an analysis means for analyzing the received data traffic and for characterizing the received data traffic to provide information regarding network events, said analysis means comprising characterization means for characterizing the received data traffic into categories for reporting, wherein said characterization means categorizes the received data traffic as ghosts, local collisions, remote collisions or other category types, wherein said analysis means performs noise analysis for detecting and measuring the network response to noise and includes;

carrier detection means for determining the beginning of carrier on the data link,

counter means for counting the amount of data passing on the data link after said carrier detection means senses the beginning of carrier, and

start preamble detector means for detecting the presence or absence of a valid start preamble in the data passing on the data link, wherein said analyzer characterizes noise data on the network when said start preamble detector detects the absence of a valid start preamble in the noise data.

2. The network analyzer according to claim 1 further comprising:

a CPU means,

a FIFO memory means for receiving characterization data from the analysis means, wherein said CPU means reads the characterization data from the FIFO means for further analysis and reporting.

3. The network analyzer according to claim 1 wherein said analysis means detects remote collisions that may occur during a preamble portion of data traffic.

4. A network analyzer according to claim 1 wherein the network analyzer is adapted to enable physical connection and disconnection of the network analyzer to and from the network by a user at a location on the network selected by the user.

5. A network analyzer according to claim 1 wherein said characterization means derives a single type error characterization for a single error data traffic set in a one to one mapping relation.

6. A network analyzer adapted for connecting to a network at a station node thereof comprising:

a ghost frame detector; and

a byte counter for counting the number of bytes or byte times occupied by a detected ghost frame, wherein said ghost frame detector includes;

a carrier detector to determine the beginning of a carrier on the network,

a counter to count the amount of data passing on the network after said carrier detector senses the beginning of the carrier on the network, and

a start preamble detector for detecting the presence or absence of a valid start preamble in the data passing on the network after the beginning of carrier, wherein said analyzer characterizes noise data on the network when said start preamble detector detects the absence of a valid start preamble on the network.

7. The network analyzer according to claim 6 further comprising memory means for accumulating the number of ghost frames detected during a time period and the accumulated number of bytes or byte times occupied by the detected ghost frames during the time period.

8. A method of performing network analysis on a network comprising the steps of:

detecting the presence of ghost frames on the network at a station node thereof, wherein said detecting step comprises detecting a network response to noise by detecting the start of carrier on the network and detecting the absence of a valid network data preamble in the network response to noise; and

gathering statistical information about detected ghost frames.

9. The method according to claim 8 wherein said gathering step comprises the substeps of:

determining the length of an individual ghost frame; and

storing an accumulated count of determined lengths of ghost frames during a time period.

10. The method according to claim 9 further comprising the step of determining the network bandwidth consumed by ghost frames.

11. The method according to claim 8 further comprising the step of displaying statistical information for interpretation by a user.

12. A method of performing network analysis on a network for detecting network response to noise, comprising the steps of:

detecting the presence of frame data on the network, said detecting step comprising the substep of classifying the detected frame data as being among a predetermined set of event types; and

gathering statistical information about detected frame data, said gathering step comprising the substeps of accumulating a count of frame data in each set of the predetermined set of event types, and accumulating a count of determined lengths of frame data in each set of the predetermined set of frame event types,

wherein said set of frame event types comprises ghost frames, remote collision frames and local collision frames, and wherein said detecting step comprises detecting and counting frame data which is free of a valid network data preamble.

13. The method according to claim 12 wherein said step of gathering statistical information about detected frame data comprises determining the network bandwidth consumed by the frame data.

14. The method according to claim 13 further comprising the step of displaying statistical information about detected network response to noise for interpretation by a user.

15. The method according to claim 12 wherein said detecting step detects remote collisions that may occur during a preamble portion of a frame on the network.