Content distribution resource allocation

Patent metadata

Field	Value
Publication number	US-2016197848-A1
Application number	US-201514591204-A
Country	US
Kind code	A1
Filing date	Jan 7, 2015
Priority date	Jan 7, 2015
Publication date	Jul 7, 2016
Grant date	—

Abstract

One or more methods and/or techniques for content resource allocation are provided herein. A user, of a client device, may access content. Real time user traffic associated with accessing the content may be determined. A trend may be identified from the real time user traffic for the content. The real time user traffic may be indicative of an amount of the content distribution resources used to provide a threshold level of service to users. Responsive to the trend indicating a projected increase in real time user traffic for the content, the content distribution resources may be allocated to the content based upon the projected increase, such that the allocated content distribution resources provide the threshold level of service to the user.

First claim

What is claimed is:

1 . A method of content distribution resource allocation, comprising:
determining real time user traffic associated with accessing content provided by a content provider; identifying a trend from the real time user traffic for the content; and responsive to the trend indicating a projected increase in real time user traffic for the content, allocating content distribution resources for the content based upon the projected increase.

2 . The method of claim 1 , comprising:
responsive to the trend indicating a projected decrease in the real time user traffic for the content, allocating content distribution resources from the content to an open stack based upon the projected decrease.

3 . The method of claim 1 , comprising:
responsive to the trend indicating a projected change in the real time user traffic, reallocating content distribution resources to obtain a capacity correlated to the trend.

4 . The method of claim 1 , comprising:
creating a feedback loop for obtaining the trend associated with a user accessing at least one of:
the content;
a content provider entity comprising the content; or
the content provider.

5 . The method of claim 1 , comprising:
utilizing the trend to generate a log, the log comprising:
a type of the trend associated with the content;
a type of the content; and
a duration of the trend.

6 . The method of claim 1 , the real time user traffic indicative of an amount of content distribution resources used to provide a threshold level of service to users.

7 . The method of claim 1 , the allocating content distribution resources comprising:
allocating content distribution resources from an open stack.

8 . The method of claim 1 , comprising:
responsive to the trend indicating the projected increase, negotiating with a content distribution provider to procure additional content distribution resources.

9 . The method of claim 1 , comprising:
identifying an event indicative of a projected change in the trend.

10 . The method of claim 9 , comprising:
responsive to identifying the event, allocating content distribution resources to content related to the event.

11 . The method of claim 1 , the determining comprising:
generating a beacon indicating a user has at least one of:
accessed the content;
clicked on a page comprising the content; or
accessed an application comprising the content.

12 . The method of claim 1 , comprising:
utilizing a pay structure for the content provider based upon the real time user traffic associated with the content.

13 . A system for media presentation, comprising:
a content resource allocation component configured to:
determine real time user traffic associated with content provided by a content provider;
identify a trend from the real time user traffic for the content; and
responsive to the trend indicating a projected decrease in real time user traffic for the content, allocate content distribution resources from the content to an open stack based upon the projected decrease.

14 . The system of claim 13 , responsive to the trend indicating a projected increase in user traffic for the content, allocate content distribution resources for the content based upon the projected increase.

15 . The system of claim 13 , the content resource allocation component configured to reallocate content distribution resources to obtain a capacity correlated to the trend, responsive to the trend indicating a projected change in user traffic.

16 . The system of claim 13 , the content resource allocation component configured to create a feedback loop to provide real time user traffic associated with a user accessing:
the content; a content provider entity comprising the content; and the content provider.

17 . The system of claim 16 , the content resource allocation component configured to:
utilize the feedback loop to generate a log, the log comprising:
a type of the trend associated with the content;
a type of the content; and
a duration of the trend.

18 . The system of claim 13 , the content resource allocation component configured to:
identify an event indicative of a projected change in the trend; and allocate content distribution resources to content related to the event based upon the projected change.

19 . A non-transitory computer readable medium comprising computer executable instructions that when executed by a processor perform a method for content resource allocation, comprising:
generating a beacon when a user interacts with content provided by a content provider; determining real time user traffic from beacons associated with accessing the content; identifying a trend from the real time user traffic for the content; and responsive to the trend indicating a projected increase in user traffic for the content, allocating content distribution resources from an open stack to the content based upon the projected increase.

20 . The method of claim 19 , responsive to the trend indicating a projected decrease in user traffic for the content, allocating content distribution resources from the content to an open stack based upon the projected decrease.

Assignees

• Yahoo Inc

Inventors

• Bhide Shashank
• Chauhan Sudhir
• Tripathi Kshitiz

Classifications

• H04L43/062

  related to network traffic · CPC title

• H04L67/22

  Electricity · mapped topic

• H04L47/823 Primary

  Electricity · mapped topic

• H04L47/83 Primary

  based on usage prediction · CPC title

• H04L47/801 Primary

  Real time traffic · CPC title