Utilize extra web semantic for video caching

• US 9,774,636 B2
• Filed: 07/24/2012
• Issued: 09/26/2017
• Est. Priority Date: 07/24/2012
• Status: Expired due to Fees

• Current Assignee: Cisco Technology, Inc. (Cisco Systems, Inc.)
• Original Assignee: Cisco Technology, Inc. (Cisco Systems, Inc.)
• Inventors: Hsu, Wei-Jen, Bhupalam, Bhaskar, Iyer, Jay, Chan, Douglas
• Primary Examiner(s): Survillo, Oleg
• Application Number:
  US13/556,241
• Publication Number:
  US 20140032698A1
• Time in Patent Office: 1,890 Days
• Field of Search: 709219, 709226
• CPC Class Codes: G06F 16/172 Caching, prefetching or hoarding of files
• CPC Class Codes: G06F 16/951 Indexing; Web crawling techniques
• CPC Class Codes: H04L 65/1045 Proxies, e.g. for session initiation protocol [SIP]
• CPC Class Codes: H04L 65/612 for unicast
• CPC Class Codes: H04L 67/535 Tracking the activity of the user network monitoring arrangements H04L43/00; recording of computer activity G06F11/34
• CPC Class Codes: H04L 67/568 Storing data temporarily at an intermediate stage, e.g. caching
• CPC Class Codes: H04L 67/5682 Policies or rules for updating, deleting or replacing the stored data
• CPC Class Codes: H04N 21/23106 involving caching operations prefetching while addressing of a memory level in which the access to the desired data or data block requires associative addressing means within memory systems or architectures G06F12/0862; caching at an intermediate stage in a data network H04L67/568
• CPC Class Codes: H04N 21/23116 involving data replication, e.g. over plural servers synchronization of replicated data G06F11/1658; error detection or correction by means of data replication G06F11/2053; replication in distributed file systems G06F16/10; replication in distributed file systems G06F16/27; replication or mirroring of data in data networks H04L67/1095
• CPC Class Codes: H04N 21/2408 Monitoring of the upstream path of the transmission network, e.g. client requests monitoring data switching networks utilization H04L43/0876; scheduling or organising the servicing of application requests H04L67/60
• CPC Class Codes: H04N 21/472 End-user interface for requesting content, additional data or services; End-user interface for interacting with content, e.g. for content reservation or setting reminders, for requesting event notification, for manipulating displayed content end-user interfaces for retrieving video data from a database G06F16/739; network services for supporting unicast streaming H04L65/612
• CPC Class Codes: H04N 21/4786 e-mailing message switching systems, e.g. electronic mail systems H04L51/00
• CPC Class Codes: H04N 21/4788 communicating with other users, e.g. chatting arrangements for providing for computer conferences, e.g. chat rooms, to substation in data switching networks H04L12/1813; distributed application using peer-to-peer [P2P] networks H04L67/104

Abstract

Semantic data corresponding to video data may be received. Next, the received semantic data corresponding to the video data may be analyzed. Caching decisions may then be made based upon the analysis of the received semantic data corresponding to the video data.

Claims

1. A method comprising:

receiving semantic data corresponding to video data;

analyzing the received semantic data corresponding to the video data; and

making caching decisions based upon the analysis of the received semantic data corresponding to the video data, wherein making caching decisions based upon the analysis of the received semantic data corresponding to the video data comprises;

defining a semantic based popularity rank comprising a weighted combination of various forms of the received semantic data;

localizing the received semantic data, wherein localizing comprises determining preferences of network users within a geographic area;

determining the semantic based popularity rank for the video data based on the localized semantic data, wherein determining the semantic based popularity rank comprises determining, from the preferences of the network users within the geographic area, a weighted combination of a number of times of the following;

a link to the video data is referred to in related content, a playlist including the link to the video data has been followed, and the link to the video data is included in link-sharing data; and

caching the content in caches for use by users based on the determined semantic based popularity rank.

2. The method of claim 1, wherein receiving the semantic data corresponding to the video data comprises receiving the semantic data from a video sharing site.

3. The method of claim 1, wherein receiving the semantic data corresponding to the video data comprises receiving the semantic data comprising related video data.

4. The method of claim 1, wherein receiving the semantic data corresponding to the video data comprises receiving the semantic data comprising watch list data.

5. The method of claim 1, wherein receiving the semantic data corresponding to the video data comprises receiving the semantic data comprising search terms.

6. The method of claim 1, wherein receiving the semantic data corresponding to the video data comprises receiving the semantic data comprising search terms from a video sharing site.

7. The method of claim 1, wherein receiving the semantic data corresponding to the video data comprises receiving the semantic data comprising search terms from a search engine site.

8. The method of claim 1, wherein receiving the semantic data corresponding to the video data comprises receiving the semantic data comprising link-sharing data.

9. The method of claim 1, wherein receiving the semantic data corresponding to the video data comprises receiving the semantic data comprising link-sharing data shared via a social media site.

10. The method of claim 1, wherein receiving the semantic data corresponding to the video data comprises receiving the semantic data comprising link-sharing data shared via e-mail.

11. The method of claim 1, wherein making caching decisions based upon the analysis of the received semantic data corresponding to the video data comprises making a decision as to what to add to a cache.

12. The method of claim 1, wherein making caching decisions based upon the analysis of the received semantic data corresponding to the video data comprises making a decision as to what to remove from a cache.

13. The method of claim 1, wherein making caching decisions based upon the analysis of the received semantic data corresponding to the video data comprises:

determining that content is popular in a geographic area; and

caching the content in the geographic based upon determining that content is popular in the geographic area.

14. A method comprising:

receiving semantic data corresponding to video data, the semantic data being received from a video sharing site;

analyzing the received semantic data corresponding to the video data wherein analyzing the received semantic data corresponding to the video data comprises defining a semantic based popularity rank, wherein the semantic based popularity rank comprises a weighted combination of various forms of the received semantic data;

localizing the received semantic data, wherein localizing comprises determining preferences of network users within a geographic area;

determining the semantic based popularity rank for the video data based on the localized semantic data, wherein determining the semantic based popularity rank comprises determining the weighted combination of a number of the following;

a link to the video data is referred to in related content, a playlist including the link to the video data has been followed, and the link to the video data is included in link-sharing data;

making caching decisions based upon the semantic based popularity rank;

caching content based on the caching decisions; and

providing the content to users in response to user requests.

15. The method of claim 14, wherein receiving the semantic data corresponding to the video data comprises receiving the semantic data comprising search terms.

16. The method of claim 15, wherein receiving the semantic data corresponding to the video data comprises receiving the semantic data comprising search terms from a video sharing site.

17. The method of claim 15, wherein receiving the semantic data corresponding to the video data comprises receiving the semantic data comprising search terms from a search engine site.

18. The method of claim 14, wherein receiving the semantic data corresponding to the video data comprises receiving the semantic data comprising the link-sharing data.

19. The method of claim 18, wherein receiving the semantic data corresponding to the video data comprises receiving the semantic data comprising the link-sharing data shared via a social media site.

20. The method of claim 18, wherein receiving the semantic data corresponding to the video data comprises receiving the semantic data comprising the link-sharing data shared via e-mail.

21. The method of claim 14, wherein defining the semantic based popularity rank comprises defining the semantic based popularity rank comprising the following equation:

semantic based popularity rank=(weight₁)*(number of times the link to the video data is referred to in the related content)+(weight₂)*(number of times the playlist including the link to the video data has been followed)+(weight₃)*(number of number of times the link to the video data is included in the link-sharing data); and

wherein weight₁, weight₂, weight₃ are user defined.

22. An apparatus comprising:

a memory storage; and

a processing unit coupled to the memory storage, wherein the processing unit is operative to;

receive semantic data corresponding to video data, the semantic data being received from a video sharing site;

define a semantic based popularity rank comprising a weighted combination of various forms of the received semantic data;

localizing the received semantic data, wherein localizing comprises determining preferences of network users within a geographic area;

determine the semantic based popularity rank for the video data based on the localized semantic data, wherein processing unit configured to determine the semantic based popularity rank comprises the processing unit configured to determine the weighted combination of a number of times of the following;

a link to the video data is referred to in related content, a playlist including the link to the video data has been followed, and the link to the video data is included in link-sharing data;

make caching decisions based on the determined semantic based popularity rank for the video data; and

caching content based on the caching decisions.

23. The apparatus of claim 22, wherein the semantic data comprises related video data.

24. The apparatus of claim 22, wherein the semantic data comprises watch list data.

25. The apparatus of claim 22, wherein the processing unit being operative to make caching decisions comprises the processing unit being operative to make a decision to cache when the semantic based popularity rank is greater than a predetermined value.