Remote browsing session management

• US 10,693,991 B1
• Filed: 09/27/2011
• Issued: 06/23/2020
• Est. Priority Date: 09/27/2011
• Status: Active Grant

• Current Assignee: Amazon Technologies, Inc. (Amazon.com, Inc.)
• Original Assignee: Amazon Technologies, Inc. (Amazon.com, Inc.)
• Inventors: Jenkins, Jonathan A., Hill, Peter F., Taylor, Brett R., Gigliotti, Samuel S.
• Primary Examiner(s): Alriyashi, Abdulkader M
• Application Number:
  US13/246,668
• Time in Patent Office: 3,192 Days
• Field of Search: 709224-226, 709217-219, 711118
• CPC Class Codes: H04L 67/5681 Pre-fetching or pre-delivering data based on network characteristics
• CPC Class Codes: H04L 67/5682 Policies or rules for updating, deleting or replacing the stored data

Abstract

A browsing process is directed to the generation and management of a browse session at a network computing provider. A client computing device requests a remote browse session instance at a network computing provider. The browse session instance may correspond to requested network content. The network computing provider determines a browse configuration. The browse configuration may identify a communication protocol and various processing actions. The network computing provider retrieves the requested content through an instantiated network browse session instance, and performs a first set of processing actions to generate a processing result. The processing result may be provided to the client computing device for display, including performing a second set of processing actions on the processing result at the client computing device. The processing result, or portions thereof, may be stored in a shared network cache and/or in a local cache.

Claims

1. A system configured to manage caching of a network resource in a networked computing environment, the system comprising a processor and a memory, wherein the processor executes computer-executable instructions stored in the memory to:

determine predicted network resources, wherein individual predicted network resources are associated with a probability of being requested by individual client devices in a first geographic region, wherein the predicted network resources are determined based at least in part on historical information identifying resource requests in a plurality of resource requests received in the first geographic region, and wherein the predicted network resources are selected from network resources associated with a probability greater than a threshold probability based at least in part on the historical information; and

a caching component comprising one or more computing devices configured to;

in response to receiving a request from a client computing device at a first geographic location for a network resource and determining that the requested network resource is not cached;

determine that the first geographic location is within the first geographic region;

identify a predicted network resource associated with the requested network resource, wherein the predicted network resource is associated with the requested network resource based at least in part on the historical information, and wherein the predicted network resource is associated with a first probability of being requested that is determined based at least in part on the first geographic region;

determine, based at least in part on an expiry header associated with the predicted network resource, a second probability that the predicted network resource will expire before it is requested;

obtain the requested network resource and the predicted network resource;

cache the predicted network resource based at least in part on the first probability and the second probability; and

provide, to the client computing device, the predicted network resource independently of a request from the client computing device for the predicted network resource.

2. The system of claim 1, wherein the predicted network resource comprises a web page.

3. The system of claim 1, wherein the plurality of resource requests received in the first geographic region does not comprise the predicted network resource.

4. A computer-implemented method for caching network resources in a networked computing environment, the method, implemented by one or more computing devices configured with specific executable instructions, comprising:

analyzing a plurality of historical browsing request records to prioritize predicted network resources for a first user in a first geographic region, wherein individual predicted network resources are associated with a probability of being requested that is greater than a threshold probability based on the plurality of historical browsing request records, and wherein individual request records of the plurality of historical browsing request records are associated with the first geographic region;

in response to receiving a request from a client computing device for a network resource and determining that the requested network resource is not cached;

determining that a location of the client computing device is within the first geographic region;

identifying a predicted network resource associated with the requested network resource, the predicted network resource being associated with the requested network resource based on the plurality of historical browsing request records and the first geographic region, the predicted network resource being associated with a first probability of being requested;

determining, based at least in part on an expiry header associated with the predicted network resource, a second probability that the predicted network resource will expire before it is requested;

obtaining the requested network resource and the predicted network resource;

caching the predicted network resource based at least in part on the first and second probabilities; and

providing, to the client computing device, the predicted network resource independent of a request for the predicted network resource.

5. The computer-implemented method of claim 4, wherein the probability of being requested is based at least in part on content of the predicted network resource.

6. The computer-implemented method of claim 4, wherein the probability of being requested varies based at least in part on a time of day.

7. The computer-implemented method of claim 4, wherein the probability of being requested is based at least in part on a number of times the predicted network resource and a second network resource have been requested over a time period.

8. The computer-implemented method of claim 4, wherein the probability of being requested is based at least in part on information associated with popularity, and wherein a prioritization of the predicted network resource is based at least on an average of number of requests for a network resource over a time period.

9. The computer-implemented method of claim 4, wherein at least a portion of the predicted network resource are cached in an electronic data store, and wherein the electronic data store has an available capacity.

10. The computer-implemented method of claim 9, further comprising determining whether to cache the predicted network resource based at least in part on a prioritization of the predicted network resource and the available capacity of the electronic data store.

11. The computer-implemented method of claim 4, wherein the predicted network resource does not comprise a network resource requested from the client computing device.

12. The computer-implemented method of claim 4, wherein the predicted network resource is not a network resource represented by the plurality of historical browsing request records.

13. The computer-implemented method of claim 4, wherein the predicted network resource comprises at least one of a web page, image, video, applet, or document.

14. The computer-implemented method of claim 4, wherein providing the predicted network resource further comprises removing versions of network resources from a portion of a cache of the client computing device associated with predicted network resources based at least partly on browsing patterns of a user of the client computing device.

15. A computer-implemented method for caching a network resource for transmission over a network to a client computing device, the method, as implemented by one or more network computing providers configured with specific executable instructions, comprising:

analyzing a plurality of historical browsing request records to determine predicted network resources for a first user in a first geographic region, wherein individual predicted network resources are associated with a probability of being requested that is greater than a threshold probability based on the plurality of historical browsing request records;

caching a predicted network resource on a network computing provider, wherein the network computing provider is not a client computing device, and wherein caching the predicted network resource comprises;

determining that a location of the client computing device is associated with the first geographic region;

identifying the predicted network resource based at least in part on a requested network resource, the first geographic region, and the plurality of historical browsing request records;

obtaining the requested network resource;

determining, based at least in part on an expiry header associated with the predicted network resource that a probability that the predicted network resource will be requested before it expires exceeds a threshold; and

transmitting the predicted network resource to a first cache of the client computing device prior to receiving a request, from the client computing device, for the predicted network resource.

16. The computer-implemented method of claim 15 further comprising causing storage of the predicted network resource in the first cache.

17. The computer-implemented method of claim 15, wherein the probability of being requested is based at least in part on content of the predicted network resource.

18. The computer-implemented method of claim 15, wherein the probability of being requested varies based at least in part on a time of day.

19. The computer-implemented method of claim 15, wherein the probability of being requested is based at least on a number of times the predicted network resource and a second network resource have been requested over the same time period.

20. The computer-implemented method of claim 15, wherein the probability of being requested is greater than the threshold probability when the network resource has been requested a greater number of times over a time period than an average of number of requests for a network resource over the time period.

21. The computer-implemented method of claim 15, further comprising determining whether to cache the predicted network resource based at least in part on an available capacity of the network computing provider.

22. The computer-implemented method of claim 15, wherein the predicted network resource comprises a web page, image, video, applet, or document.