Data Services in a Computer System

• US 20150215187A1
• Filed: 08/17/2012
• Published: 07/30/2015
• Est. Priority Date: 08/17/2012
• Status: Abandoned Application

• Current Assignee: Nokia Solutions and Networks Holdings USA (Nokia Corporation)
• Original Assignee: Nokia Solutions and Networks Holdings USA (Nokia Corporation)
• Inventors: Tuononen, Janne Einari, Flinck, Hannu, Poyhonen, Ville Petteri
• Application Number:
  US14/422,017
• Publication Number:
  US 20150215187A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: H04L 41/142 using statistical or mathematical methods
• CPC Class Codes: H04L 43/028 by filtering
• CPC Class Codes: H04L 43/10 Active monitoring, e.g. heartbeat, ping or trace-route
• CPC Class Codes: H04L 43/16 Threshold monitoring
• CPC Class Codes: H04L 63/1416 Event detection, e.g. attack signature detection
• CPC Class Codes: H04L 63/1458 Denial of Service
• CPC Class Codes: H04L 67/5682 Policies or rules for updating, deleting or replacing the stored data

Abstract

In a method and apparatus for a data communication system data sessions provided in response to service requests are monitored. Based on the monitoring information regarding data communicated from at least one data source during the monitored sessions is determined. Statistical information is collected based on the determination(s). Performance of at least one operation is caused based on the statistical information.

Claims

1. A method for a data communication system, comprising

monitoring data sessions provided in response to service requests,

determining, based on the monitoring, information regarding data communicated from at least one data source during the monitored sessions,

collecting statistical information based on the determining, and

causing performance of at least one operation based on the statistical information.

2. A method as claimed in claim 1, wherein the at least one operation comprises at least one of

controlling storing and/or deletion of content data;

controlling local caching of content data and/or evicting of locally cached content data;

publishing and/or un-publishing locally available content data; and

determining possibility of a denial of service attack.

3. A method as claimed in claim 1, wherein the monitoring comprises monitoring for downloads in association with a local node of a radio system serving a requestor.

4. A method as claimed in claim 1, wherein the determining comprises reading header information from the data communicated during the session and using the header information in determining the proportion of a full data file that was actually communicated.

5. A method as claimed in claim 1, comprising analysing information contained within headers of content data to determine characteristics of downloaded content.

6. A method as claimed in claim 1, wherein the monitoring comprises identifying content data.

7. A method as claimed in claim 1, wherein the statistical information is based on information about actual usage of content data.

8. A method as claimed in claim 1, comprising providing information on use of different fractions of content data and causing at least one operation on at least one fraction of the content data.

9. A method as claimed in claim 1, comprising determining the proportion of data that was delivered of a full data file.

10. A method as claimed in claim 1, comprising monitoring data sessions by a plurality of information collection points and reporting information to a collection point.

11. A method as claimed in claim 1, comprising determining popularity of a particular data.

12. A method as claimed in claim 1, wherein

the monitoring is provided on the data path between a content provider and a requestor, or

the monitoring is provided off the data path between a content provider and the requestor based on a duplicate of content data downloaded by the requestor.

13. A method as claimed in claim 1, comprising selecting at least one local content storage and causing downloading or removing of content in the selected local data storage.

14. A method as claimed in claim 1, comprising analysing content data to create additional information for the control operations describing at least one characteristics of the content.

23. A computer program comprising program code means adapted to perform the steps of claim 1 when the program is run on a data processing apparatus.

15. An apparatus for a data communication system, configured to determine, based on monitoring of data sessions provided in response to service requests, information regarding data communicated from at least one data source during the monitored sessions, collect statistical information based on the determining, and cause performance of at least one operation based on the statistical information.

16. An apparatus as claimed in claim 15, configured to cause at least one of storing and/or deletion of content data, local caching of content data and/or evicting of locally cached content data, publishing and/or un-publishing locally available content data, and determining possibility of a denial of service attack.

17. An apparatus as claimed in claim 15, configured to read header information from the data communicated during the session and use the header information in determining the proportion of a full data file that was actually communicated.

18. An apparatus as claimed in claim 15, configured to determine the statistical information based on information about actual usage of content data.

19. An apparatus as claimed in claim 15, configured to determine information on use of different fractions of content data and cause at least one operation on at least one fraction of the content data.

20. An apparatus as claimed in claim 15, configured to determine the proportion of data that was delivered of a full data file.

21. An apparatus as claimed in claim 15, configured to determine popularity of a particular data.

22. An apparatus as claimed in claim 15, configured to select at least one local content storage and cause downloading or removing of content in the selected local data storage.