User Profiling for Energy Optimisation in Mobile Cloud Computing

BENKHELIFA, Elhadj, WELSH, Thomas, Tawalbeh,, Loai, Jararweh,, Yaser and Basalamah, Anas (2015) User Profiling for Energy Optimisation in Mobile Cloud Computing. Procedia Computer Science, 52. pp. 1159-1165. ISSN 1877-0509

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Abstract or description

Both mobile and cloud computing are two areas which are rapidly expanding in terms of use case and functionality.Both mobile and cloud computing are two areas which are rapidly expanding in terms of use case and functionality. This paper reviews current work in energy consumption of mobile cloud computing and then proposes a system whereby user applications may be profiled for their resource consumption locally and then if augmentation is required, they may negotiate with an external cloud for optimum energy consumption. Such a system is particularly useful for cloudlets which contain constrained resources so may need to choose between a number of clients. Whilst mobile computing enables a variety of feature rich functionality for users in a non-fixed location, cloud computing is revolutionising the way in which computing resources are being provisioned, used and optimised for both service providers and end users. These two fields are being combined in order to provide greater functionality for mobile devices in a number of different ways. Augmentation of mobile resources from the cloud has been shown as one way in which the energy consumption and power of mobile devices may be considerably enhanced. However, due to the resource constrained nature of the devices, in particular their power source and communication interfaces, there is often a fine line where offloading of these resources is economical.

Item Type:	Article
Faculty:	Previous Faculty of Computing, Engineering and Sciences > Computing
Event Title:	The 6th International Conference on Ambient Systems, Networks and Technologies (ANT-2015)
Event Location:	london, UK
Depositing User:	Elhadj BENKHELIFA
Date Deposited:	10 Jun 2015 09:34
Last Modified:	24 Feb 2023 13:42
URI:	https://eprints.staffs.ac.uk/id/eprint/2126

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