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Please use this identifier to cite or link to this item:
http://hdl.handle.net/10204/4767
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| Title: | Cloud computing for enhanced mobile health applications |
| Authors: | Nkosi, MT Mekuria, F |
| Keywords: | Multimedia DSP Security Cloud computing Mobile health application CloudCom 2010 |
| Issue Date: | Nov-2010 |
| Publisher: | IEEE |
| Citation: | Nkosi, MT and Mekuria, F. 2010. Cloud computing for enhanced mobile health applications. 2nd IEEE International Conference on Cloud Computing Technology and Science (CloudCom 2010). Indiana University, USA, November 30 - December 3, pp 5 |
| Series/Report no.: | Conference Paper |
| Abstract: | Mobile devices are being considered as service platforms for mobile health information delivery, access and communication. However mobiles face challenges with regard to delivering secure multimedia based health services due to limitations in computation and power supply. Since mobile devices have limited computational capacity and run on small batteries; they are unable to run heavy multimedia & security algorithms. In this paper a cloud computing framework to relieve mobile devices from executing heavier multimedia and security algorithms in delivering mobile health services is described. The proposed framework uses a Cloud Computing protocol management model which intends to provide multimedia sensor signal processing & security as a service to mobile devices. Our approach suggests that multimedia and security operations can be performed in the cloud, allowing mobile health service providers to subscribe and extend the capabilities of their mobile health applications beyond the existing mobile device limitations. |
| Description: | 2nd IEEE International Conference on Cloud Computing Technology and Science (CloudCom 2010). Indiana University, USA, 30 November - 3 December 2010 |
| URI: | http://hdl.handle.net/10204/4767 |
| Appears in Collections: | Technology for special operations Sensor science and technology High performance computing Wireless technologies Digital intelligence Mobile intelligent autonomous systems General science, engineering & technology
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