COMPUTING SYSTEM WITH RESOURCE MANAGEMENT MECHANISM AND METHOD OF OPERATION THEREOF

• US 20140298347A1
• Filed: 09/30/2013
• Published: 10/02/2014
• Est. Priority Date: 03/13/2013
• Status: Abandoned Application

• Current Assignee: Samsung Electronics Co. Ltd.
• Original Assignee: Samsung Electronics Co. Ltd.
• Inventors: Lee, Chunkwok, Aylesworth, William, Pierce, Jeffrey Scott, Walendowski, Alan John
• Application Number:
  US14/041,057
• Publication Number:
  US 20140298347A1
• Time in Patent Office: Days
• US Class Current: 718/104
• CPC Class Codes: G06Q 10/0631 Resource planning, allocation, distributing or scheduling for enterprises or organisations
• 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 67/535 Tracking the activity of the user network monitoring arrangements H04L43/00; recording of computer activity G06F11/34

Abstract

A computing system includes: an activity-schedule module configured to identify a future activity estimation for representing an activity occurring after a current time; a usage module, coupled to the activity-schedule module, configured to generate a consumption model associated with the future activity estimation for describing a resource; a model generator module, coupled to the usage module, configured to determine a cost model for evaluating an access location; and a selection module, coupled to the model generator module, configured to determine an optimal access selection based on the cost model and the consumption model for displaying on a device.

Claims

1. A computing system comprising:

an activity-schedule module configured to identify a future activity estimation for representing an activity occurring after a current time;

a usage module, coupled to the activity-schedule module, configured to generate a consumption model associated with the future activity estimation for describing a resource;

a model generator module, coupled to the usage module, configured to determine a cost model for evaluating an access location; and

a selection module, coupled to the model generator module, configured to determine an optimal access selection based on the cost model and the consumption model for displaying on a device.

2. The system as claimed in claim 1 wherein:

the model generator module is configured to determine the cost model including a cost-category; and

the selection module is configured to determine the optimal access selection having a source attribute corresponding to the cost-category.

3. The system as claimed in claim 1 further comprising:

an access-detail module, coupled to the activity-schedule module, configured to determine an inference set for accessing the resource; and

wherein;

the selection module is configured to determine the optimal access selection from the inference set.

4. The system as claimed in claim 1 wherein:

the activity-schedule module includes a context module configured to determine a contextual parameter without using a calendar entry; and

the activity-schedule module is configured to identify the future activity estimation based on the contextual parameter.

5. The system as claimed in claim 1 wherein:

the activity-schedule module includes a context module configured to determine a future context associated with the future activity estimation for identifying the resource; and

the selection module is configured to determine the optimal access selection for providing the resource.

6. The system as claimed in claim 1 wherein:

the activity-schedule module includes a context module configured to determine a future context associated with the future activity estimation; and

further comprising;

a notice module, coupled to the selection module, configured to generate a resource planning content based on the future context for managing the resource for displaying on the device.

7. The system as claimed in claim 6 wherein the notice module is configured to generate a schedule adjustment for accessing the resource based on the future activity estimation.

8. The system as claimed in claim 6 wherein the notice module is configured to generate an access-route for accessing the resource based on the future activity estimation.

9. The system as claimed in claim 6 further comprising:

an access-detail module, coupled to the activity-schedule module, configured to generate an access model for representing the resource for using the device; and

wherein;

the notice module is configured to generate the resource planning content based on the future activity estimation and the access model.

10. The system as claimed in claim 6 wherein:

the notice module is configured to determine an affirmative response to the resource planning content; and

further comprising;

a response module, coupled to the notice module, configured to generate a configuration-adjustment profile based on the affirmative response for using the device.

11. A method of operation of a computing system comprising:

identifying a future activity estimation for representing an activity occurring after a current time;

generating a consumption model associated with the future activity estimation for describing a resource;

determining a cost model for evaluating an access location; and

determining an optimal access selection based on the cost model and the consumption model for displaying on a device.

12. The method as claimed in claim 11 wherein:

determining the cost model includes determining the cost model including a cost-category; and

determining the optimal access selection includes determining the optimal access selection having a source attribute corresponding to the cost-category.

13. The method as claimed in claim 11 further comprising:

determining an inference set for accessing the resource; and

wherein;

determining the optimal access selection includes determining the optimal access selection from the inference set.

14. The method as claimed in claim 11 further comprising:

determining a contextual parameter without using a calendar entry; and

wherein;

identifying the future activity estimation includes identifying the future activity estimation based on the contextual parameter.

15. The method as claimed in claim 11 further comprising:

determining a future context associated with the future activity estimation for identifying the resource;

wherein;

determining the optimal access selection includes determining the optimal access selection for providing the resource.

16. A non-transitory computer readable medium including instructions comprising:

identifying a future activity estimation for representing an activity occurring after a current time;

generating a consumption model associated with the future activity estimation for describing a resource;

determining a cost model for evaluating an access location; and

determining an optimal access selection based on the cost model and the consumption model for displaying on a device.

17. The non-transitory computer readable medium as claimed in claim 16 wherein:

determining the cost model includes determining the cost model including a cost-category; and

determining the optimal access selection includes determining the optimal access selection having a source attribute corresponding to the cost-category.

18. The non-transitory computer readable medium as claimed in claim 16 further comprising:

determining an inference set for accessing the resource; and

wherein;

determining the optimal access selection includes determining the optimal access selection from the inference set.

19. The non-transitory computer readable medium as claimed in claim 16 further comprising:

determining a contextual parameter without using a calendar entry; and

wherein;

identifying the future activity estimation includes identifying the future activity estimation based on the contextual parameter.

20. The non-transitory computer readable medium as claimed in claim 16 further comprising:

determining a future context associated with the future activity estimation for identifying the resource;

wherein;

determining the optimal access selection includes determining the optimal access selection for providing the resource.