Method and apparatus for providing an architecture for delivering mixed reality content

• US 9,059,942 B2
• Filed: 01/03/2013
• Issued: 06/16/2015
• Est. Priority Date: 01/09/2012
• Status: Expired due to Fees

• Current Assignee: Piece Future Pte., Ltd.
• Original Assignee: Nokia Technologies Oy (Nokia Corporation)
• Inventors: Boldyrev, Sergey, Kaaja, Jari-Jukka Harald, Uusitalo, Mikko Aleksi, Murphy, David Joseph
• Primary Examiner(s): SALL, EL HADJI MALICK
• Application Number:
  US13/733,614
• Publication Number:
  US 20130179576A1
• Time in Patent Office: 894 Days
• Field of Search: 709/226, 709/203, 709/200, 345/633
• US Class Current: 1/1
• CPC Class Codes: H04L 47/70 Admission control; Resource allocation
• CPC Class Codes: H04L 67/1097 for distributed storage of data in networks, e.g. transport arrangements for network file system [NFS], storage area networks [SAN] or network attached storage [NAS]
• CPC Class Codes: H04L 67/131 Protocols for games, networked simulations or virtual reality
• CPC Class Codes: H04L 67/52 specially adapted for the location of the user terminal
• CPC Class Codes: H04L 67/568 Storing data temporarily at an intermediate stage, e.g. caching

Abstract

An approach is described for providing an architecture for delivering mixed reality content. A mixed reality platform determines one or more requests for one or more digital objects. The one or more digital objects aggregate location-based data, one or more computations, or a combination for supporting at least one mixed reality application. The mixed reality platform also determines one or more densities of the one or more requests with respect to one or more geographical boundaries defined by one or more clusters of the one or more digital objects. The mixed reality platform then processes and/or facilitates a processing of the one or more densities to cause, at least in part, a provisioning of one or more computational resources, one or more storage resources, one or more connectivity resources, or a combination thereof across one or more architectural layers of at least one cloud computing infrastructure for delivering the one or more digital objects, the at least one mixed reality application, or a combination thereof.

Claims

1. A method comprising:

determining, using a processor, one or more requests for one or more digital objects, wherein the one or more digital objects aggregate location-based data, one or more computations, or a combination for supporting at least one mixed reality application;

determining one or more densities of the one or more requests with respect to one or more geographical boundaries defined by one or more clusters of the one or more digital objects; and

processing the one or more densities to cause, at least in part, a provisioning of one or more computational resources, one or more storage resources, one or more connectivity resources, or a combination thereof across one or more architectural layers of at least one cloud computing infrastructure for delivering the one or more digital objects, the at least one mixed reality application, or a combination thereof.

2. A method of claim 1, wherein the one or more architectural layers include, at least in part, one or more core content delivery layers, one or more regional content delivery layers, one or more edge content delivery layers, or a combination thereof;

and wherein the location-based data include, at least in part, one or more map tiles, one or more augmented reality tiles, or a combination thereof.

3. A method of claim 1 further comprising:

migrating a pre-fetching, a caching, or a combination thereof of the one or more digital objects among the one or more architectural layers based, at least in part, on the provisioning, the one or more densities, or a combination thereof.

4. A method of claim 1 further comprising:

determining one or more connectivity types of the one or more connectivity resources used to make the one or more requests; and

determining which of the one or more architectural layers, the one or more computational resources, the one or more storage resources, the one or more connectivity resources, or a combination thereof to provision based, at least in part, on the one or more connectivity types.

5. A method of claim 4, wherein the one or more connectivity types include, at least in part, one or more short range connectivity types, one or more medium range connectivity types, or a combination thereof.

6. A method of claim 5, wherein the one or more short-range connectivity types include, at least in part, one or more radio-frequency memory tags, one or more short-range wireless radio protocols, or a combination thereof;

and wherein the one or more medium range connectivity types include, at least in part, one or more cognitive radio protocols.

7. A method of claim 5 further comprising:

determining one or more movements of the one or more clusters over a geographical area based, at least in part, on the one or more connectivity types,

wherein the one or more requests made over the one or more short range connectivity types are indicative of the one or more clusters being stationary; and

wherein the one or more requests made over the one or more medium range connectivity types are indicative of the one or more clusters moving.

8. A method of claim 1 further comprising:

determining the one or more requests based on one or more links (a) among the one or more architectural layers;

(b) among one or more clients and the at least one mixed reality application;

(c) among the one or more clients and the architectural layers;

(d) among the one or more clients and the at least one cloud computing infrastructure;

or (e) a combination thereof,

wherein the one or more densities are further based, at least in part, on the one or more links.

9. A method of claim 1 further comprising:

determining one or more end points associated with the one or more requests; and

determining the provisioning substantially separately for the respective one or more end points.

10. A method of claim 9, wherein the one or more end points are based, at least in part, on one or more usage classes associated with the one or more requests.

11. An apparatus comprising:

at least one processor; and

at least one memory including computer program code for one or more programs,

the at least one memory and the computer program code configured to, with the at least one processor, cause the apparatus to perform at least the following,

determine one or more requests for one or more digital objects, wherein the one or more digital objects aggregate location-based data, one or more computations, or a combination for supporting at least one mixed reality application;

determine one or more densities of the one or more requests with respect to one or more geographical boundaries defined by one or more clusters of the one or more digital objects; and

process and/or facilitate a processing of the one or more densities to cause, at least in part, a provisioning of one or more computational resources, one or more storage resources, one or more connectivity resources, or a combination thereof across one or more architectural layers of at least one cloud computing infrastructure for delivering the one or more digital objects, the at least one mixed reality application, or a combination thereof.

12. An apparatus of claim 11, wherein the one or more architectural layers include, at least in part, one or more core content delivery layers, one or more regional content delivery layers, one or more edge content delivery layers, or a combination thereof;

and wherein the location-based data include, at least in part, one or more map tiles, one or more augmented reality tiles, or a combination thereof.

13. An apparatus of claim 11, wherein the apparatus is further caused to:

cause, at least in part, a migration, a pre-fetching, a caching, or a combination thereof of the one or more digital objects among the one or more architectural layers based, at least in part, on the provisioning, the one or more densities, or a combination thereof.

14. An apparatus of claim 11, wherein the apparatus is further caused to:

determine one or more connectivity types of the one or more connectivity resources used to make the one or more requests; and

determine which of the one or more architectural layers, the one or more computational resources, the one or more storage resources, the one or more connectivity resources, or a combination thereof to provision based, at least in part, on the one or more connectivity types.

15. An apparatus of claim 14, wherein the one or more connectivity types include, at least in part, one or more short range connectivity types, one or more medium range connectivity types, or a combination thereof.

16. An apparatus of claim 15, wherein the one or more short-range connectivity types include, at least in part, one or more radio-frequency memory tags, one or more short-range wireless radio protocols, or a combination thereof and wherein the one or more medium range connectivity types include, at least in part, one or more cognitive radio protocols.

17. An apparatus of claim 15, wherein the apparatus is further caused to:

determine one or more movements of the one or more clusters over a geographical area based, at least in part, on the one or more connectivity types,

wherein the one or more requests made over the one or more short range connectivity types are indicative of the one or more clusters being stationary; and

wherein the one or more requests made over the one or more medium range connectivity types are indicative of the one or more clusters moving.

18. An apparatus of claim 11, wherein the apparatus is further caused to:

determine the one or more requests based on one or more links (a) among the one or more architectural layers;

(b) among one or more clients and the at least one mixed reality application;

(c) among the one or more clients and the architectural layers;

(d) among the one or more clients and the at least one cloud computing infrastructure;

or (e) a combination thereof,

wherein the one or more densities are further based, at least in part, on the one or more links.

19. An apparatus of claim 11, wherein the apparatus is further caused to:

determine one or more end points associated with the one or more requests; and

determine the provisioning substantially separately for the respective one or more end points.

20. An apparatus of claim 19, wherein the one or more end points are based, at least in part, on one or more usage classes associated with the one or more requests.