Log data parser and analyzer
A network management system includes a non-transitory computer readable medium configured to store instructions thereon. The network management system further includes a processor connected to the non-transitory computer readable medium. The processor is configured to execute the instructions for receiving first log data from a first component in a network, wherein the first log data includes first log information; and parsing the first log data using a trained neural network to define parsed log data, wherein parsing the first log data includes organizing the first log information into a predefined sequence of information, and the parsed log data includes at least a signal source and a signal message. The processor is configured to execute the instructions for generating a unified model language (UML) diagram based on the parsed log data; and determining whether an error is present in the first component based on the UML diagram.
1. A network management system comprising:
a non-transitory computer readable medium configured to store instructions thereon; and
a processor connected to the non-transitory computer readable medium, wherein the processor is configured to execute the instructions for:
receiving first log data from a first component in a network, wherein the first log data comprises first log information;
parsing the first log data using a trained neural network to define parsed log data, wherein parsing the first log data comprises organizing the first log information into a predefined sequence of information, and the parsed log data comprises at least a signal source and a signal message;
generating a unified model language (UML) diagram based on the parsed log data; and
determining whether an error is present in the first component based on the UML diagram.
2. The network management system of claim 1 , wherein the processor is further configured to execute the instructions for:
filtering the first log data, wherein filtering the first log data comprises removing a portion of the first log information; and
parsing the first log data using the filtered log data.
3. The network management system of claim 1 , wherein the first log information comprises data related to an interaction between the first component and a second component in the network.
4. The network management system of claim 3 , wherein the processor is further configured to execute the instructions for:
parsing the first log data to generate the parsed log data further comprising a signal destination.
5. The network management system of claim 3 , wherein the processor is further configured to execute the instructions for:
determining whether the identified error is related to the first component or the second component based on the UML diagram.
6. The network management system of claim 3 , wherein the processor is further configured to execute instructions for:
receiving second log data from the second component, wherein the second log data comprises second log information;
combining the first log information and the second log information to define a combined log information; and
parsing the first log data by parsing the combined log information.
7. The network management system of claim 1 , wherein the processor is further configured to execute the instructions for:
generating an alert in response to determining the error is present; and
instructing a transmitter to transmit the alert to a terminal accessible by a network manager responsible for the first component.
8. A network management method comprising:
receiving first log data from a first component in a network, wherein the first log data comprises first log information;
parsing, using a processor, the first log data using a trained neural network to define parsed log data, wherein parsing the first log data comprises organizing the first log information into a predefined sequence of information, and the parsed log data comprises at least a signal source and a signal message;
generating, using the processor, a unified model language (UML) diagram based on the parsed log data; and
determining, using the processor, whether an error is present in the first component based on the UML diagram.
9. The network management method of claim 8 , further comprising:
filtering the first log data, wherein filtering the first log data comprises removing a portion of the first log information, wherein
parsing the first log data comprises parsing the first log data using the filtered log data.
10. The network management method of claim 8 , wherein the first log information comprises data related to an interaction between the first component and a second component in the network.
11. The network management method of claim 10 , wherein parsing the first log data comprises generating the parsed log data further comprising a signal destination.
12. The network management method of claim 10 , further comprising:
determining whether the identified error is related to the first component or the second component based on the UML diagram.
13. The network management method of claim 10 , further comprising:
receiving second log data from the second component, wherein the second log data comprises second log information; and
combining the first log information and the second log information to define a combined log information, wherein
parsing the first log data comprises parsing the combined log information.
14. The network management method of claim 8 , further comprising:
generating an alert in response to determining the error is present; and
transmitting the alert to a terminal accessible by a network manager responsible for the first component.
15. A non-transitory computer readable medium configured to store instructions thereon for causing a processor to:
receive first log data from a first component in a network, wherein the first log data comprises first log information;
parse the first log data using a trained neural network to define parsed log data, wherein parsing the first log data comprises organizing the first log information into a predefined sequence of information, and the parsed log data comprises at least a signal source and a signal message;
generate a unified model language (UML) diagram based on the parsed log data; and
determine whether an error is present in the first component based on the UML diagram.
16. The non-transitory computer readable medium of claim 15 , wherein the instructions are further configured to cause the processor to:
filter the first log data to remove a portion of the first log information; and
parse the first log data using the filtered log data.
17. The non-transitory computer readable medium of claim 15 , wherein the first log information comprises data related to an interaction between the first component and a second component in the network.
18. The non-transitory computer readable medium of claim 17 , wherein the instructions are further configured to cause the processor to:
parse the log data to generate the parsed log data further comprising a signal destination.
19. The non-transitory computer readable medium of claim 17 , wherein the instructions are further configured to cause the processor to:
determine whether the identified error is related to the first component or the second component based on the UML diagram.
20. The non-transitory computer readable medium of claim 17 , wherein the instructions are further configured to cause the processor to:
receive second log data from the second component, wherein the second log data comprises second log information;
combine the first log information and the second log information to define a combined log information; and
parse the first log data by parsing the combined log information.