Method and apparatus for analyzing a service in a service session

Patent metadata

Field	Value
Publication number	US-9917763-B2
Application number	US-201314416357-A
Country	US
Kind code	B2
Filing date	Apr 30, 2013
Priority date	Jul 27, 2012
Publication date	Mar 13, 2018
Grant date	Mar 13, 2018

Abstract

A service provided to an end user in a service session is analyzed. A plurality of measurements of at least one performance parameter of a network providing a service to an end user in a service session is received ( 501 ). The received plurality of measurements of the at least one performance parameter are divided ( 503 ) into a plurality of snapshots. The service is analyzed ( 505 ) by determining the compliance of the received measurements to the expectations of the end user for that service session within a snapshot.

First claim

The invention claimed is:

1. A method of analyzing a service provided to an end user in a service session, the method comprising the steps:
receiving, at an interface of a server, a plurality of measurements of at least one performance parameter of a network providing a service to an end user in a service session;
dividing, via the server, the received plurality of measurements of the at least one performance parameter into a plurality of snapshots;
analyzing, via the server, the service by determining the compliance of the received measurements to the expectations of the end user for that service session within a snapshot; and
in response to determining that the service is not in compliance with the expectations of the end user:
determining a network optimization to apply to the network to improve the compliance of the service based on a priority level assigned to the service session; and
optimizing a performance of the network based on the determination of what network optimization should be applied.

2. The method according to claim 1 wherein the snapshot comprises a time interval.

3. The method according to claim 2 , wherein the time interval is configurable.

4. The method according to claim 1 , wherein the method further comprises:
storing, in a memory, the end user's expectations of the service session in the plurality of snapshots.

5. The method according to claim 4 , wherein the method further comprises calculating a metric that represents the compliance of the service session to the expectations and storing the calculated metric into the service session.

6. The method according to claim 5 , wherein the step of analyzing the service comprises the steps of:
creating a semantic model of a plurality of concepts in the end user communication service domain, specifying the concepts and properties of concepts, relationships between concepts; and
analyzing the service defined by the created semantic model.

7. The method according to claim 6 , wherein the step of storing the end user's expectations and storing the calculated metric comprise the step of storing the end user's expectations and/or storing the calculated metric in a knowledge base of the semantic model for use in updating the semantic model.

8. The method according to claim 6 , wherein each of the plurality of concepts in the end user communication service domain are assigned an importance level and the step of creating the semantic model comprises the step of:
creating the semantic model of the concepts having importance level above a defined threshold in the end user communication service domain.

9. Apparatus for analyzing a service provided to an end user in a service session, the apparatus comprising:
a hardware interlace configured to receive a plurality of measurements of at least one performance parameter of a network providing a service to an end user in a service session and to divide the received plurality of measurements of the at least one performance parameter into a plurality of snapshots;
a processor communicatively coupled to the interface, the processor configured to analyze the service by determining the compliance of the received measurements to the expectations of the end user for that service session within a snapshot; and
in response to determining that the service is not in compliance with the expectation of the end user, the processor is further configured to:
determine a network optimization to apply to the network to improve the compliance of the service based on a priority level assigned to the service session; and
optimize a performance of the network based on the determination of what network optimization should be applied.

10. Apparatus according to claim 9 , wherein the apparatus further comprises a storage device configured to store the end user's expectations of a service session in the plurality of snapshots.

11. Apparatus according to claim 10 , wherein the processor is further configured to calculate a metric that represents the compliance of the service session to its expectations; and the storage device is further configured to store the calculated metric into the service session.

12. Apparatus according to claim 11 , wherein the processor is further configured to create a semantic model of a plurality of concepts in the end user communication service domain, specifying the concepts and properties of concepts, relationships between concepts, and to analyze the service defined by the created semantic model.

13. Apparatus according to claim 12 , wherein the processor is further configured to access the storage device for retrieving the end user's expectations and/or the calculated metric for the knowledge base of the semantic model for use in creating the semantic model.

14. A management node comprising an apparatus as defined in claim 10 .

15. The management node according to claim 14 comprising an auto configuration server.

Assignees

• Ericsson Telefon Ab L M
• Ericsson Telefon Ab L M

Inventors

• Fallon Liam

Classifications

• H04L41/5032

  Generating service level reports · CPC title

• H04L41/5067

  Customer-centric QoS measurements · CPC title

• H04L41/024

  using relational databases for representation of network management data, e.g. managing via structured query language [SQL] · CPC title

• H04L41/16

  using machine learning or artificial intelligence · CPC title

• H04L41/145

  involving simulating, designing, planning or modelling of a network · CPC title