Towards Context-Aware Computation Offloading for Resource-Poor Mobile and Smart Computing Devices
Collinson Colin M. Agbesi1, Katsriku Apietu Ferdinand2, Jamal-Deen Abdulai3, Kofi Adu-Manu Sarpong4
1Collinson Colin M. Agbesi, Department of Computer Science, Koforidua Technical University Koforidua, Ghana, India.
2Dr. Katsriku Apietu Ferdinand, Department of Computer Science, University of Ghana, Accra, Ghana, India.
3Dr. Jamal-Deen Abdulai, Department of Computer Science, University of Ghana, Accra, Ghana, India.
4Kofi Adu-Manu Sarpong, Department of Computer Science, Valley
View University, Oyibi, Ghana, India.
Manuscript received on October 23, 2017. | Revised Manuscript received on October 29, 2017. | Manuscript published on November 05, 2017. | PP: 24-32 | Volume-7 Issue-5, November 2017. | Retrieval Number: C3035077317/2017©BEIESP
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©The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/
Abstract: Mobile and smart computing devices have become ubiquitous and the preferred computing device for their daily tasks and business activities. Despite the phenomenal increase in the computational power of these devices, they still are unable to cope with the exceptionally high demand for resources by current applications. It has been suggested that, resource demanding applications and intensive computations from mobile devices should be offloaded to other systems with higher resource capacities in the cloud. Mobile cloud computing is a form of cloud computing that seeks to enhance the capacity and capabilities of mobile and smart computing devices by enabling mobile devices to offload some computational tasks to the cloud for processing. The study also presented an energy model for computation offloading.
Keywords: Cloud Computing, Mobile Cloud Computing, Computation Offloading.