Al-Ameri, Ali and Lami, Ihsan (2017) SCCOF: smart cooperative computation offloading framework for mobile cloud computing services. In: ICT - BDCS 2017, 21 - 22 August 2017, Singapore.
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Abstract
Virtual reality games and image processing Apps are examples of mobile cloud computing services (MCCS) common on Smartphones (SPs) nowadays, requiring intensive processing and/or wireless networking. The consequences are slow execution and huge battery consumption. Offloading the intensive computations of such Apps to a cloud based server can overcome such consequences. However, such offloading will introduce time delay and communication overheads. This paper proposes to do the offloading to nearby computing resources in a cooperative computation sharing network via short-range wireless connectivity. The proposed SCCOF reduces offloading response time and energy consumption overheads. SCCOF is supported by an intelligent cloud located controller that will form the cooperative resource sharing network on the go when needed, based on available devices in the vicinity, and will use the cloud if necessary. Upon the initiation of the MCCS service via the App, our controller will devise the offloaded VMs as well as the offloading network. A study test scenario was performed to evaluate the performance of SCCOF, resulting in saving of up to 16.2x in execution time and 57.25% energy.
| Item Type: | Conference or Workshop Item (Paper) |
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| Uncontrolled Keywords: | Mobile cloud computing services; smart cooperative computation offloading framework; virtual machines |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| Divisions: | School of Computing |
| Depositing User: | Users 4 not found. |
| Date Deposited: | 06 Sep 2017 15:57 |
| Last Modified: | 08 Sep 2017 11:27 |
| URI: | http://bear.buckingham.ac.uk/id/eprint/200 |
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