Method and apparatus for providing services via cloud-based analytics

• US 9,697,051 B2
• Filed: 06/27/2011
• Issued: 07/04/2017
• Est. Priority Date: 06/27/2011
• Status: Active Grant

• Current Assignee: Nokia Technologies Oy (Nokia Corporation)
• Original Assignee: Nokia Technologies Oy (Nokia Corporation)
• Inventors: Wilbur, Alex, Krishnamoorthy, Vishwanathan
• Primary Examiner(s): Nguyen, Angela
• Application Number:
  US13/169,624
• Publication Number:
  US 20120331050A1
• Time in Patent Office: 2,199 Days
• Field of Search: 709204
• CPC Class Codes: G06F 8/34 Graphical or visual programming
• CPC Class Codes: G06F 9/5072 Grid computing

Abstract

An approach is provided for providing services via cloud based analytics. An analytics platform determines one or more data propagation policies associated with propagating user information from at least one device to one or more cloud components. The analytics platform also processes and/or facilitates a processing of the one or more data propagation policies to cause, at least in part, a propagation of the user information to the one or more cloud components, wherein the propagation causes, at least in part, the user information to be available to one or more applications, one or more services, or a combination thereof.

Claims

1. A method comprising:

determining, by an apparatus, one or more data propagation policies associated with propagating user information from at least one device to a plurality of cloud components of cloud services;

processing, by the apparatus, the one or more data propagation policies to cause, at least in part, a propagation of the user information to the one or more cloud components, wherein the propagation causes, at least in part, the user information to be available to one or more applications, one or more services, or a combination thereof;

determining, by the apparatus, one or more data caching policies;

receiving, by the apparatus, additional user information collected by a plurality of independent collecting entities of the cloud services across a plurality of data domains of service providers, websites, or a combination thereof;

analyzing, by the apparatus, the user information and the additional information to determine service information specific to a user of the at least one device;

processing, by the apparatus, the one or more data caching policies to determine one or more rules, one or more criteria, or a combination thereof, to initiate a caching of the service information at the at least one device, wherein the one or more rules, the one or more criteria, or a combination thereof are based, at least in part, on one or more data types, one or more propagation types, network availability information, resource availability information, device capability information, temporal information, or a combination thereof,

wherein the service information includes, at least in part, recommendation information generated specifically for the user and an application across the plurality of data domains.

2. A method of claim 1, wherein the one or more data propagation policies, the one or more data caching policies, or a combination thereof are independent of the one or more applications, the one or more services, or a combination thereof, and the one or more data propagation policies describe a kind of user information that is propagated to the one or more cloud components,

wherein the additional user information is received at the apparatus via one or more live information streams.

3. A method of claim 1, further comprising:

processing the one or more data propagation policies to determine one or more rules, one or more criteria, or a combination thereof for the propagation,

wherein the one or more rules, the one or more criteria, or a combination thereof are based, at least in part, on one or more data types, one or more propagation types, one or more network interactions, network availability information, resource availability information, device capability information, temporal information, or a combination thereof.

4. A method of claim 1, further comprising:

processing the user information to determine one or more future events,

wherein the caching is performed preemptively based, at least in part, on the one or more future events.

5. A method of claim 1, further comprising:

initiating at least one notification of an availability, an update, or a combination thereof of the user information, the service information, or a combination thereof, wherein the one or more data propagation policies, the one or more data caching policies, or a combination thereof is processed based, at least in part, on the at least one notification.

6. A method of claim 1, wherein the service information is generated using one or more resources of the one or more cloud computing components, and cached at a data persistence layer of the one or more cloud computing components.

7. A method of claim 1, wherein the service information includes a plurality of recommendations for the user when using the application, and the method further comprising:

when determining the application is activated, initiating, at the at least one device, a presentation of a rating of a level of confidence of each of the recommendations and the recommendations listed in an order of the rating.

8. A method of claim 7, wherein the one or more cloud components include, at least in part, one or more information spaces, and wherein the recommendations include a plurality of recommended contacts or a plurality of recommended routes.

9. A method of claim 7, wherein the rating of a level of confidence is made based on one or more user organizational affiliations, one or more user addresses, a user age, one or more user interests, one or more user careers, or a combination thereof.

10. A method of claim 8, wherein the recommended contacts include a list of nearby contacts, a list of frequently called contacts, a list of contacts called frequently at a given day and time, or a list of contacts in an upcoming meeting.

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 data propagation policies associated with propagating user information from at least one device to a plurality of cloud components of cloud services;

process the one or more data propagation policies to cause, at least in part, a propagation of the user information to the one or more cloud components, wherein the propagation causes, at least in part, the user information to be available to one or more applications, one or more services, or a combination thereof;

determine one or more data caching policies;

receive additional user information collected by a plurality of independent collecting entities of the cloud services across a plurality of data domains of service providers, websites, or a combination thereof;

analyze the user information and the additional information to determine service information specific to a user of the at least one device;

process the one or more data caching policies to determine one or more rules, one or more criteria, or a combination thereof, to initiate a caching of the service information at the at least one device, wherein the one or more rules, the one or more criteria, or a combination thereof are based, at least in part, on one or more data types, one or more propagation types, network availability information, resource availability information, device capability information, temporal information, or a combination thereof,

wherein the service information includes, at least in part, recommendation information generated specifically for the user and an application across the plurality of data domains.

12. An apparatus of claim 11, wherein the one or more data propagation policies, the one or more data caching policies, or a combination thereof are independent of the one or more applications, the one or more services, or a combination thereof, and the one or more data propagation policies describe a kind of user information that is propagated to the one or more cloud components.

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

process the one or more data propagation policies to determine one or more rules, one or more criteria, or a combination thereof for the propagation,

wherein the one or more rules, the one or more criteria, or a combination thereof are based, at least in part, on one or more data types, one or more propagation types, one or more network interactions, network availability information, resource availability information, device capability information, temporal information, or a combination thereof.

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

process the user information to determine one or more future events,

wherein the caching is performed preemptively based, at least in part, on the one or more future events.

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

receive at least one notification of an availability, an update, or a combination thereof of the user information, the service information, or a combination thereof, wherein the one or more data propagation policies, the one or more data caching policies, or a combination thereof is processed based, at least in part, on the at least one notification.

16. An apparatus of claim 11, wherein the service information is generated using one or more resources of the one or more cloud computing components, and cached at a data persistence layer of the one or more cloud computing components.

17. An apparatus of claim 11, wherein the service information specifies, at least in part, one or more user interface elements for causing, at least in part, a presentation of the service information at the at least one device.

18. An apparatus of claim 11, wherein the one or more cloud components include, at least in part, one or more information spaces.

19. An apparatus of claim 11, wherein the service information includes a plurality of recommended contacts for the user, and the recommended contacts include a list of nearby contacts, a list of frequently called contacts, a list of contacts called frequently at a given day and time, or a list of contacts in an upcoming meeting.

20. An apparatus of claim 19, wherein the service information further includes a rating of a level of confidence for each of the recommended contacts.