Liaison system and method for cloud computing environment

1. A system comprising:

a cloud job manager, the cloud job manager including at least one processor and at least one memory with computer code instructions stored thereon, the cloud job manager coupled to a first cloud service provider system, a second cloud service provider system, and a pool of consumer devices allocated for use by the system for cloud computing, the cloud job manager configured to:

select a first consumer device from the pool to perform at least a portion of a first computational job of a request sent to the first cloud service provider to perform the first computational job via cloud computing;

assign the at least a portion of the first computational job to the first consumer device selected;

select a second consumer device from the pool to perform at least a portion of a second computational job of a request sent to the second cloud service provider to perform the second computational job via cloud computing; and

assign the at least a portion of the second computational job to the second consumer device selected.

2. The system of claim 1 , wherein the first consumer device is selected, at least in part, based on at least one characteristic of the first consumer device and proximity of the first consumer device to an end user device and wherein the request sent to the first cloud service provider is sent from the end user device.

3. The system of claim 2 , wherein the at least one characteristic includes device health information, device capability information, or a combination thereof.

4. The system of claim 3 , wherein the device health information includes resource utilization, battery power available, battery health, processor load, user application prioritization, data network speed, virtual machine (VM) availability, type of network connectivity, load sharing, device availability information derived from a user profile associated with the first consumer device, or a combination thereof, and wherein the device capability information includes processor capability, storage capability, estimate for battery drain over time, other capability information derived from a make and model of the first consumer device, or a combination thereof.

5. The system of claim 1 , wherein the second consumer device is selected, at least in part, based on at least one characteristic of the second consumer device and proximity of the second consumer device to an end user device and wherein the request sent to the second cloud service provider is sent from the end user device.

6. The system of claim 5 , wherein the at least one characteristic includes device health information, device capability information, or a combination thereof.

7. The system of claim 6 , wherein the device health information includes resource utilization, battery power available, battery health, processor load, user application prioritization, data network speed, virtual machine (VM) availability, type of network connectivity, load sharing, device availability information derived from a user profile associated with the second consumer device, or a combination thereof, and wherein the device capability information includes processor capability, storage capability, estimate for battery drain over time, other capability information derived from a make and model of the second consumer device, or a combination thereof.

8. The system of claim 1 , wherein the first consumer device is a smart phone, tablet, laptop computer, desktop computer, or other portable or non-portable programmable consumer electronic device capable of computation as well as receiving and sending data via a network.

9. System of claim 1 , wherein the second consumer device is a smart phone, tablet, laptop computer, desktop computer, or other portable or non-portable programmable consumer electronic device capable of computation as well as receiving and sending data via a network.

10. A computer-implemented method comprising:

selecting a first consumer device from a pool of consumer devices to perform at least a portion of a first computational job of a request sent to a first cloud service provider to perform the first computational job via cloud computing;

assigning the at least a portion of the first computational job to the first consumer device selected;

selecting a second consumer device from the pool to perform at least a portion of a second computational job of a request sent to a second cloud service provider to perform the second computational job via cloud computing; and

assigning the at least a portion of the second computational job to the second consumer device selected.

11. The computer-implemented method of claim 10 , further comprising selecting the first consumer device based, at least in part, on at least one characteristic of the first consumer device and proximity of the first consumer device to an end user device, wherein the request sent to the first cloud service provider is sent from the end user device.

12. The computer-implemented method of claim 11 , wherein the at least one characteristic includes device health information, device capability information, or a combination thereof.

13. The computer-implemented method of claim 12 , wherein the device health information includes resource utilization, battery power available, battery health, processor load, user application prioritization, data network speed, virtual machine (VM) availability, type of network connectivity, load sharing, device availability information derived from a user profile associated with the first consumer device, or a combination thereof, and wherein the device capability information includes processor capability, storage capability, estimate for battery drain over time, other capability information derived from a make and model of the first consumer device, or a combination thereof.

14. The computer-implemented method of claim 10 , further comprising selecting the second consumer device based, at least in part, on at least one characteristic of the second consumer device and proximity of the second consumer device to an end user device, wherein the request sent to the second cloud service provider is sent from the end user device.

15. The computer-implemented method of claim 14 , wherein the at least one characteristic includes device health information, device capability information, or a combination thereof.

16. The computer-implemented method of claim 15 , wherein the device health information includes resource utilization, battery power available, battery health, processor load, user application prioritization, data network speed, virtual machine (VM) availability, type of network connectivity, load sharing, device availability information derived from a user profile associated with the second consumer device, or a combination thereof, and wherein the device capability information includes processor capability, storage capability, estimate for battery drain over time, other capability information derived from a make and model of the second consumer device, or a combination thereof.

17. The computer-implemented method of claim 10 , wherein the first consumer device is a smart phone, tablet, laptop computer, desktop computer, or other portable or non-portable programmable consumer electronic device capable of computation as well as receiving and sending data via a network.

18. The computer-implemented method of claim 10 , wherein the second consumer device is a smart phone, tablet, laptop computer, desktop computer, or other portable or non-portable programmable consumer electronic device capable of computation as well as receiving and sending data via a network.

19. A non-transitory computer-readable medium having encoded thereon a sequence of instructions which, when loaded and executed by at least one processor, causes the at least one processor:

select a first consumer device from a pool of consumer devices to perform at least a portion of a first computational job of a request sent to a first cloud service provider to perform the first computational job via cloud computing;

assign the at least a portion of the first computational job to the first consumer device selected;

select a second consumer device from the pool to perform at least a portion of a second computational job of a request sent to a second cloud service provider to perform the second computational job via cloud computing; and

assign the at least a portion of the second computational job to the second consumer device selected.

20. A system comprising:

at least one memory with computer code instructions stored thereon;

means for selecting, via the computer code instructions, a first consumer device from a pool to perform at least a portion of a first computational job of a request sent to a first cloud service provider to perform the first computational job via cloud computing;

means for assigning, via the computer code instructions, the at least a portion of the first computational job to the first consumer device selected;

means for selecting, via the computer code instructions, a second consumer device from the pool to perform at least a portion of a second computational job of a request sent to a second cloud service provider to perform the second computational job via cloud computing; and

means for assigning, via the computer code instructions, the at least a portion of the second computational job to the second consumer device selected.