Managing resources consolidation configurations

• US 7,865,594 B1
• Filed: 09/29/2008
• Issued: 01/04/2011
• Est. Priority Date: 09/29/2008
• Status: Expired due to Fees

• Current Assignee: Amazon Technologies, Inc. (Amazon.com, Inc.)
• Original Assignee: Amazon Technologies, Inc. (Amazon.com, Inc.)
• Inventors: Baumback, Mark S., Bettis, David William, Jenkins, Jonathan A.
• Primary Examiner(s): Jean; Frantz B
• Application Number:
  US12/240,881
• Time in Patent Office: 827 Days
• Field of Search: 709/223, 709/224, 709/203, 709/217, 709/219, 370/229, 370/232, 370/235
• US Class Current: 709/224
• CPC Class Codes: G06F 11/3409 for performance assessment
• CPC Class Codes: G06F 11/3495 for systems
• CPC Class Codes: G06F 2201/86 Event-based monitoring
• CPC Class Codes: G06F 2201/875 Monitoring of systems including the internet
• CPC Class Codes: G06F 9/5061 Partitioning or combining of resources
• CPC Class Codes: H04L 41/0813 characterised by the conditions triggering a change of settings
• CPC Class Codes: H04L 47/70 Admission control; Resource allocation
• CPC Class Codes: H04L 47/83 based on usage prediction
• CPC Class Codes: H04L 67/1014 based on the content of a request

Abstract

Systems and methods for monitoring the performance associated with fulfilling resource requests and determining optimizations for improving such performance are provided. A processing device obtains and processes performance metric information associated with processing a request corresponding to two or more embedded resources. The processing device uses the processed performance metric information to determine a consolidation configuration to be associated with the two or more embedded resources. In some embodiments, in making such a determination, the processing device assesses performance metric information collected and associated with subsequent requests corresponding to the content associated with the two or more embedded resources and using each of a variety of alternative consolidation configurations. The processing device may also consider a number of factors, including performance selection criteria obtained from an original content provider. Aspects of systems and methods for generating recommendations to use a particular consolidation configuration to process a subsequent request corresponding to the content associated with the two or more embedded resources are also provided.

Claims

1. A system for monitoring performance associated with processing a resource request, the system comprising:

a client computing component associated with a client computing device, wherein the client computing component is operable to determine a first set of performance data associated with processing a resource request, wherein the resource request corresponds to two or more embedded resources;

a performance measurement component associated with the client computing device, wherein the performance measurement component is operable to determine a second set of performance data associated with processing the resource request; and

a processing component operable to;

obtain, from the client computing component, the first set of performance data associated with processing the resource request;

obtain, from the performance measurement component, the second set of performance data associated with processing the resource request;

identify one or more consolidation configurations to be utilized in conjunction with a subsequent resource request based on processing overhead associated with at least a portion of the embedded resources, wherein each consolidation configuration includes an identification of one or more sets of the two or more embedded resources to be consolidated and wherein the subsequent resource request corresponds to content associated with the two or more embedded resources;

for each consolidation configuration;

consolidate each of the one or more sets of the two or more embedded resources to be consolidated;

cause an initiation of the subsequent resource request associated with the consolidation configuration; and

obtain, from the client computing component and the performance measurement component performance data related to processing of the subsequent resource request; and

dynamically determine a recommended consolidation configuration to be associated with the two or more embedded resources based on the first and second sets of performance data and the performance data related to processing the subsequent resource request.

2. The system as recited in claim 1, wherein the processing component is further operable to generate code for the recommended consolidation configuration.

3. The system as recited in claim 1, wherein the processing component is operable to identify one or more consolidation configurations based on an estimated performance benefit.

4. The system as recited in claim 1, wherein the processing component is operable to consolidate each of the one or more sets of the two or more embedded resources as a CSS sprite file.

5. The system as recited in claim 1, wherein dynamically determining a recommended consolidation configuration, by the processing component, is based on performance selection criteria.

6. The system as recited in claim 5, wherein the performance selection criteria includes quality of service information.

7. The system as recited in claim 5, wherein the performance selection criteria includes cost information associated with processing the subsequent resource request.

8. The system as recited in claim 1, wherein the processing component is further operable to obtain performance selection criteria from the content provider.

9. A method comprising:

identifying one or more consolidation configurations to be utilized in conjunction with processing a request originally corresponding to two or more embedded resources, wherein each consolidation configuration includes an identification of one or more sets of the two or more embedded resources to be consolidated;

for each of the one or more consolidation configurations;

consolidating each of the one or more sets of the two or more embedded resources to be consolidated;

causing an initiation of a subsequent request associated with the consolidation configuration; and

obtaining performance data related to processing of the subsequent request associated with the consolidation configuration; and

dynamically determining a recommended consolidation configuration to be associated with the two or more embedded resources based on the performance data.

10. The method as recited in claim 9, wherein obtaining performance data related to processing of the subsequent request associated with the consolidation configuration comprises:

obtaining, from a client computing component, performance data associated with a record identifier, wherein the performance data is associated with processing the subsequent request associated with the consolidation configuration;

obtaining, from a performance measurement component, performance data associated with a record identifier, wherein the performance data is associated with processing the request and includes timing information as to the receipt of the first and last bytes of data for each embedded resource associated with the subsequent request associated with the consolidation configuration; and

associating the performance data from the client computing component and the performance measurement component using the record identifier.

11. The method as recited in claim 9 further comprising generating a recommendation to use the determined consolidation configuration to process a further subsequent request corresponding to the content associated with the two or more embedded resources.

12. The method as recited in claim 9 further comprising generating code for the two or more embedded resources to be processed using the determined consolidation configuration.

13. The method as recited in claim 9, wherein identifying one or more consolidation configurations is based on an estimated performance benefit.

14. The method as recited in claim 9, wherein identifying one or more consolidation configurations is based on a header size and a payload size corresponding to each embedded resource of the two or more embedded resources.

15. The method as recited in claim 9, wherein consolidating each of the one or more sets of the two or more embedded resources comprises generating a CSS sprite file for each of the one or more sets of the two or more embedded resources.

16. The method as recited in claim 9, wherein dynamically determining a recommended consolidation configuration is further based on performance selection criteria.

17. The method as recited in claim 16, wherein the performance selection criteria includes quality of service information.

18. The method as recited in claim 16, wherein the performance selection criteria includes cost information.

19. The method as recited in claim 9 further comprising obtaining, from a content provider, performance selection criteria.

20. The method as recited in claim 19, wherein dynamically determining a set of domains is further based on the performance selection criteria provided by the content provider.

21. A method comprising:

obtaining, from a client computing device, performance data associated with processing a first resource request, wherein the first resource request corresponds to two or more embedded resources;

dynamically identifying one or more consolidation configurations to be utilized in conjunction with processing a subsequent request corresponding to content associated with the two or more embedded resources, wherein each consolidation configuration includes an identification of one or more sets of the two or more embedded resources to be consolidated; and

for each of the one or more consolidation configurations;

obtaining performance data related to processing of the subsequent request associated with the consolidation configuration; and

dynamically determining a recommended consolidation configuration to be associated with the two or more embedded resources based on the performance data associated with processing the subsequent request using each of the identified one or more consolidation configurations.

22. The method as recited in claim 21, wherein obtaining performance data associated with processing the first resource request comprises:

obtaining, from a client computing component, performance data associated with a record identifier, wherein the performance data is associated with processing the first resource request;

obtaining, from a performance measurement component, performance data associated with a record identifier, wherein the performance data is associated with processing the resource request and includes timing information as to the receipt of the first and last bytes of data for each embedded resource associated with the first resource request; and

associating the performance data from the client computing component and the performance measurement component using the record identifier.

23. The method as recited in claim 21, wherein dynamically identifying one or more consolidation configurations to be utilized in conjunction with the subsequent request is based on the obtained performance data.

24. The method as recited in claim 21, wherein dynamically identifying one or more consolidation configurations to be utilized in conjunction with the subsequent request comprises processing the obtained performance data and dynamically identifying one or more consolidation configurations to be utilized in conjunction with the subsequent request if the processed performance data fails to meet a predetermined level of performance.

25. The method as recited in claim 21, wherein identifying one or more consolidation configurations is based on an estimated performance benefit.

26. The method as recited in claim 21, wherein identifying one or more consolidation configurations is based on a header size and a payload size corresponding to each embedded resource of the two or more embedded resources.

27. The method as recited in claim 21, wherein dynamically identifying one or more consolidation configurations to be utilized in conjunction with the subsequent request is based on performance selection criteria.

28. The method as recited in claim 27, wherein the performance selection criteria includes quality of service information.

29. The method as recited in claim 27, wherein the performance selection criteria includes cost information associated with processing the subsequent request.

30. The method as recited in claim 21 further comprising obtaining, from the content provider, performance selection criteria, wherein dynamically identifying one or more consolidation configurations to be utilized in conjunction with the subsequent request is based on the obtained performance selection criteria.

31. The method as recited in claim 21 further comprising:

for each of the one or more consolidation configurations;

consolidating each of the one or more sets of the two or more embedded resources to be consolidated.

32. The method as recited in claim 31, wherein consolidating each of the one or more sets of the two or more embedded resources comprises generating a CSS sprite file for each of the one or more sets of the two or more embedded resources.

33. The method as recited in claim 21 further comprising:

for each of the one or more consolidation configurations;

causing an initiation of a subsequent request associated with the consolidation configuration.

34. The method as recited in claim 21 further comprising providing a recommendation for processing a further subsequent resource request based on a comparison of the performance data associated with processing the first resource request with the performance data associated with processing the subsequent request using each of the identified one or more consolidation configurations, wherein the further subsequent resource request corresponds to the content associated with the two or more embedded resources.

35. The method as recited in claim 21, wherein dynamically determining a recommended consolidation configuration is further based on the performance data associated with processing the first resource request.

36. The method as recited in claim 21, wherein dynamically determining a recommended consolidation configuration is further based on performance selection criteria.

37. The method as recited in claim 36, wherein the performance selection criteria includes quality of service information.

38. The method as recited in claim 36, wherein the performance selection criteria includes cost information.