Enhanced service mapping based on natural language processing

Patent metadata

Field	Value
Publication number	US-11632303-B2
Application number	US-202017065381-A
Country	US
Kind code	B2
Filing date	Oct 7, 2020
Priority date	Oct 7, 2020
Publication date	Apr 18, 2023
Grant date	Apr 18, 2023

Abstract

A computing system includes persistent storage configured to store representations of software applications that include textual data respectively indicative of attributes of the software applications, and a mapping application configured to perform operations. The operations include retrieving a representation corresponding to a software application and, based thereon, identifying character strings present within textual data associated therewith. The operations also include generating, for each character string, a corresponding weight based on a frequency of the character string within the particular textual data and a frequency of the character string within textual data associated with at least a subset of the software applications. The operations additionally include selecting, from the character strings and based on the corresponding weights, candidate tags for the particular software application. The operations further include generating a mapping between the software application and a computing resource based on the candidate tags, and storing a representation of the mapping.

First claim

What is claimed is:

1. A computing system comprising:
persistent storage configured to store a plurality of representations of a plurality of software applications, wherein the representations include textual data respectively indicative of attributes of the plurality of software applications; and
a mapping application configured to perform operations comprising:
retrieving, from the persistent storage, a representation corresponding to a particular software application that belongs to a particular managed network of a plurality of different managed networks;
identifying, based on the representation corresponding to the particular software application, a plurality of character strings present within particular textual data associated with the particular software application;
generating, for each respective character string of the plurality of character strings, a corresponding weight based on a product of: (i) a corresponding frequency of the respective character string within the particular textual data and (ii) an inverse of a frequency of the respective character string within textual data associated with a subset of the plurality of software applications that comprises software applications that belong to the particular managed network, wherein the corresponding weight indicates an extent to which the respective character string is descriptive of the particular software application within the particular managed network;
selecting a subset of the plurality of character strings based on the corresponding weight determined for each respective character string of the plurality of character strings, wherein each respective character string of the subset is associated with a corresponding weight that exceeds a threshold weight;
selecting, from the subset of the plurality of character strings and based on the corresponding frequency within the particular textual data of each respective character string of the subset, up to a predetermined number of network-specific candidate tags for the particular software application, wherein the predetermined number of network-specific candidate tags comprises up to N character strings associated with up to N highest corresponding frequencies within the particular textual data, and wherein the corresponding frequency indicates an extent to which the respective character string is descriptive of the particular software application within a context of the particular software application;
generating a mapping between the particular software application and a computing resource that belongs to the particular managed network based on the network-specific candidate tags including at least one tag corresponding to the computing resource; and
storing, in the persistent storage, a representation of the mapping.

2. The computing system of claim 1 , wherein the predetermined number of network-specific candidate tags comprises a plurality of network-specific candidate tags, and wherein the operations further comprise:
displaying, by way of a user interface, the plurality of network-specific candidate tags for the particular software application; and
receiving, by way of the user interface and for the particular software application, a selection of a particular tag of the plurality of network-specific candidate tags, wherein the mapping between the particular software application and the computing resource is generated based on the particular tag matching the at least one tag corresponding to the computing resource.

3. The computing system of claim 1 , wherein generating the mapping between the particular software application and the computing resource comprises:
obtaining, from the persistent storage, a plurality of tags corresponding to a plurality of computing resources;
comparing the network-specific candidate tags to the plurality of tags; and
determining, based on comparing the network-specific candidate tags to the plurality of tags, that the at least one tag corresponding to the computing resource of the plurality of computing resources matches a particular tag of the network-specific candidate tags.

4. The computing system of claim 1 , wherein the operations further comprise:
determining that the particular textual data has been updated;
based on determining that the particular textual data has been updated, identifying a second plurality of character strings present within the particular textual data as updated;
generating, for each given character string of the second plurality of character strings, a corresponding weight based on a product of: (i) a corresponding frequency of the given character string within the particular textual data as updated and (ii) an inverse of a frequency of the given character string within the textual data associated with the subset of the plurality of software applications that belong to the particular managed network;
selecting, from the second plurality of character strings and based on the corresponding weight determined for each given character string, up to the predetermined number of updated network-specific candidate tags for the particular software application;
generating an updated mapping between the particular software application and a second computing resource based on the updated network-specific candidate tags including at least one tag corresponding to the second computing resource; and
storing, in the persistent storage, a representation of the mapping as updated.

5. The computing system of claim 1 , wherein identifying the plurality of character strings present within the particular textual data comprises:
removing, from the particular textual data, one or more occurrences of one or more predetermined characters;
adjusting a letter case of one or more characters in the particular textual data; and
generating a root form of one or more words in the particular textual data by processing the particular textual data by way of one or more of: (i) a stemming algorithm or (ii) a lemmatization algorithm.

6. The computing system of claim 1 , wherein the operations further comprise:
updating the representation corresponding to the particular software application based on the network-specific candidate tags; and
storing, in the persistent storage, the representation as updated.

7. The computing system of claim 1 , wherein the particular textual data associated with the particular software application comprises software process data generated by an operating system in connection with execution of the particular software application, and wherein the software process data comprises one or more of: (i) a name of an executable file used to cause execution of the particular software application, (ii) a file system path indicative of a location of the executable file, (iii) a command used to cause execution of the particular software application, or (iv) one or more arguments provided as input to the particular software application.

8. The computing system of claim 1 , wherein the computing resource comprises at least one of: (i) a software service provided at least in part by the particular software application or (ii) a server device configured to execute at least part of the particular software application.

9. The computing system of claim 1 , wherein each software application of the plurality of software applications belongs to a corresponding managed network of the plurality of different managed networks, and wherein the plurality of software applications comprises software applications associated with at least one managed network other than the particular managed network.

10. The computing system of claim 1 , wherein the particular software application and the subset of the plurality of software applications are configured to

Assignees

• Servicenow Inc

Inventors

• Bitterfeld Robert
• Garty Asaf

Classifications

• H04L43/20

  the monitoring system or the monitored elements being virtualised, abstracted or software-defined entities, e.g. SDN or NFV · CPC title

• H04L43/08

  Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters · CPC title

• H04L41/40

  using virtualisation of network functions or resources, e.g. SDN or NFV entities · CPC title

• H04L43/045

  for graphical visualisation of monitoring data · CPC title

• H04L41/0853

  by actively collecting configuration information or by backing up configuration information · CPC title