Journal article

Cloud-Based Augmentation for Mobile Devices: Motivation, Taxonomies, and Open Challenges

Saeid Abolfazli, Zohreh Sanaei, Ejaz Ahmed, Abdullah Gani, Rajkumar Buyya

IEEE Communications Surveys and Tutorials | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC | Published : 2014

Abstract

Recently, Cloud-based Mobile Augmentation (CMA) approaches have gained remarkable ground from academia and industry. CMA is the state-of-the-art mobile augmentation model that employs resource-rich clouds to increase, enhance, and optimize computing capabilities of mobile devices aiming at execution of resource-intensive mobile applications. Augmented mobile devices envision to perform extensive computations and to store big data beyond their intrinsic capabilities with least footprint and vulnerability. Researchers utilize varied cloud-based computing resources (e.g., distant clouds and nearby mobile nodes) to meet various computing requirements of mobile users. However, employing cloud-bas..

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Grants

Awarded by Malaysian Ministry of Higher Education under the University of Malaya High Impact Research Grant


Funding Acknowledgements

This work is funded by the Malaysian Ministry of Higher Education under the University of Malaya High Impact Research Grant - UM.C/HIR/MOHE/FCSIT/03. Ejaz Ahmed's research work is supported by the Bright Spark Unit, University of Malaya, Malaysia.