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.

[img] PDF (Published Version) - Published Version
Restricted to Repository staff only

View at Publisher Website: http://orsc.edu.cn/iceb2012/
 
4


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 (Refereed Research Paper - 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%
Downloads: Total: 4
More Statistics

Actions (Repository Staff Only)

Item Control Page Item Control Page