dc.contributor.author |
Nkosi, MT
|
|
dc.contributor.author |
Mekuria, Fisseha
|
|
dc.date.accessioned |
2011-01-14T11:28:25Z |
|
dc.date.available |
2011-01-14T11:28:25Z |
|
dc.date.issued |
2010-11 |
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dc.identifier.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 |
en |
dc.identifier.uri |
http://hdl.handle.net/10204/4767
|
|
dc.description |
2nd IEEE International Conference on Cloud Computing Technology and Science (CloudCom 2010). Indiana University, USA, 30 November - 3 December 2010 |
en |
dc.description.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. |
en |
dc.language.iso |
en |
en |
dc.publisher |
IEEE |
en |
dc.relation.ispartofseries |
Conference Paper |
en |
dc.subject |
Multimedia DSP |
en |
dc.subject |
Security |
en |
dc.subject |
Cloud computing |
en |
dc.subject |
Mobile health application |
en |
dc.subject |
CloudCom 2010 |
en |
dc.title |
Cloud computing for enhanced mobile health applications |
en |
dc.type |
Conference Presentation |
en |
dc.identifier.apacitation |
Nkosi, M., & Mekuria, F. (2010). Cloud computing for enhanced mobile health applications. IEEE. http://hdl.handle.net/10204/4767 |
en_ZA |
dc.identifier.chicagocitation |
Nkosi, MT, and Fisseha Mekuria. "Cloud computing for enhanced mobile health applications." (2010): http://hdl.handle.net/10204/4767 |
en_ZA |
dc.identifier.vancouvercitation |
Nkosi M, Mekuria F, Cloud computing for enhanced mobile health applications; IEEE; 2010. http://hdl.handle.net/10204/4767 . |
en_ZA |
dc.identifier.ris |
TY - Conference Presentation
AU - Nkosi, MT
AU - Mekuria, Fisseha
AB - 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.
DA - 2010-11
DB - ResearchSpace
DP - CSIR
KW - Multimedia DSP
KW - Security
KW - Cloud computing
KW - Mobile health application
KW - CloudCom 2010
LK - https://researchspace.csir.co.za
PY - 2010
T1 - Cloud computing for enhanced mobile health applications
TI - Cloud computing for enhanced mobile health applications
UR - http://hdl.handle.net/10204/4767
ER -
|
en_ZA |