Managing resource consolidation configurations

• US 9,503,389 B2
• Filed: 07/20/2015
• Issued: 11/22/2016
• Est. Priority Date: 09/29/2008
• Status: Active Grant

• 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
• Application Number:
  US14/804,258
• Publication Number:
  US 20150326491A1
• Time in Patent Office: 491 Days
• Field of Search: 709/226, 709/203
• US Class Current: 1/1
• 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 information associated with processing a request corresponding to two or more embedded resources. The processing device uses the processed performance information to determine a consolidation configuration to be associated with a subsequent request for the content associated with the two or more embedded resources. In some embodiments, in making such a determination, the processing device assesses performance 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. 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 computer-implemented method comprising:

identifying common embedded resources corresponding to a first resource request and a second resource request, wherein the first and second resource requests individually correspond to two or more embedded resources, and wherein the first and second resource requests are different; and

dynamically identifying for the first resource request one or more sets of embedded resources corresponding to the first resource request, individual ones of the identified sets to be consolidated into a single embedded resource for use in responding to at least one subsequent request corresponding to the content associated with the first resource request, wherein the individual ones of the identified sets comprise embedded resources identified in common between the first and second resource requests.

2. The method as recited in claim 1 further comprising obtaining performance data associated with processing the first and second resource requests.

3. The method as recited in claim 2, wherein individual sets of embedded resources to be consolidated are identified based on the obtained performance data.

4. The method as recited in claim 2, wherein dynamically identifying for the first resource request one or more sets of embedded resources corresponding to the first resource request comprises processing the obtained performance data and dynamically identifying the one or more sets of embedded resources if the obtained performance data fails to meet a predetermined level of performance.

5. The method as recited in claim 1, wherein identifying the one or more sets of embedded resources for consolidation is based on an estimated performance benefit.

6. The method as recited in claim 1 further comprising obtaining, from a content provider, performance selection criteria, wherein individual sets of embedded resources to be consolidated are identified based on the obtained performance selection criteria.

7. The method as recited in claim 1 further comprising:

consolidating individual ones of the one or more sets of embedded resources.

8. The method as recited in claim 7, wherein consolidating individual ones of the one or more sets of embedded resources comprises generating a CSS sprite file for individual ones of the one or more sets of embedded resources.

9. The method as recited in claim 1 further comprising:

causing an initiation of at least one subsequent resource request associated with the consolidated one or more sets of embedded resources, wherein the at least one subsequent resource request corresponds to the content associated with the first resource request.

10. The method as recited in claim 9 further comprising:

obtaining performance data related to processing of the at least one subsequent request associated with the consolidated one or more sets of embedded resources.

11. The method as recited in claim 10 further comprising dynamically determining a recommendation for processing a further subsequent resource request based on a comparison of performance data associated with processing the first and second resource requests with the performance data associated with processing the at least one subsequent request using the consolidated one or more sets of embedded resources, wherein the further subsequent resource request corresponds to the content associated with the first resource request.

12. A system comprising:

at least one computing device having a processor and memory, the at least one computing device operative to;

identify common embedded resources corresponding to a first resource request and a second resource request, wherein the first and second resource requests individually correspond to two or more embedded resources, and wherein the first and second resource requests are different; and

dynamically identify for the first resource request one or more sets of embedded resources corresponding to the first resource request, individual ones of the identified sets to be consolidated into a single embedded resource for use in responding to at least one subsequent request corresponding to the content associated with the first resource request, wherein the individual ones of the identified sets comprise embedded resources identified in common between the first and second resource requests.

13. The system as recited in claim 12, wherein the at least one computing device is further operative to obtain performance data associated with processing the first and second resource requests.

14. The system as recited in claim 13, wherein individual sets of embedded resources to be consolidated are identified based on the obtained performance data.

15. The system as recited in claim 12, wherein the at least one computing device is further operative to obtain, from a content provider, performance selection criteria, wherein individual sets of embedded resources to be consolidated are identified based on the obtained performance selection criteria.

16. The system as recited in claim 12, wherein the at least one computing device is further operative to consolidate individual ones of the one or more sets of embedded resources.

17. The system as recited in claim 16, wherein consolidating individual ones of the one or more sets of embedded resources comprises generating a CSS sprite file for individual ones of the one or more sets of embedded resources.

18. The system as recited in claim 12, wherein the at least one computing device is further operative to cause an initiation of at least one subsequent resource request associated with the consolidated one or more sets of embedded resources, wherein the at least one subsequent resource request corresponds to the content associated with the first resource request.

19. The system as recited in claim 18, wherein the at least one computing device is further operative to obtain performance data related to processing of the at least one subsequent request associated with the consolidated one or more sets of embedded resources.

20. The system as recited in claim 19, wherein the at least one computing device is further operative to dynamically determine a recommendation for processing a further subsequent resource request based on a comparison of performance data associated with processing the first and second resource requests with the performance data associated with processing the at least one subsequent request using the consolidated one or more sets of embedded resources, wherein the further subsequent resource request corresponds to the content associated with the first resource request.