A model for improved resource profiling and prediction for mobile applications
Rehn, Adam, and Holdsworth, Jason (2012) A model for improved resource profiling and prediction for mobile applications. In: Proceedings of the Twelfth International Conference on Electronic Business. pp. 184-190. From: Twelfth International Conference on Electronic Business, 12-16 October 2012, Xi’an, China.
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Abstract
Many mobile applications rely on the 'cloud's' vast computing power, but fail to exploit its full capability. Some application techniques facilitate this objective, but individual application requirements often present degrees of inflexibility. In this paper we propose a more flexible and dynamic computational offloading approach that enables deeper integration with mobile applications. We discuss how this is of benefit to mobile application developers and users.
| Item ID: | 26112 |
|---|---|
| Item Type: | Conference Item (Research - E1) |
| ISSN: | 1683-0040 |
| Date Deposited: | 08 Apr 2013 04:52 |
| FoR Codes: | 08 INFORMATION AND COMPUTING SCIENCES > 0803 Computer Software > 080399 Computer Software not elsewhere classified @ 100% |
| SEO Codes: | 89 INFORMATION AND COMMUNICATION SERVICES > 8903 Information Services > 890399 Information Services not elsewhere classified @ 100% |
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