Online Algorithms for Location-Aware Task Offloading in Two-Tiered Mobile Cloud Environments

Mobile Cloud Computing (MCC) is emerging as a main ubiquitous computing platform which enables to leverage the resource limitations of mobile devices and wireless networks by offloading data-intensive computation tasks from resource-poor mobile devices to resource-rich clouds. In this paper, we cons...

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Bibliographic Details
Published inProceedings of the 2014 IEEE/ACM 7th International Conference on Utility and Cloud Computing pp. 109 - 116
Main Authors Qiufen Xia, Weifa Liang, Zichuan Xu, Bingbing Zhou
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.12.2014
Subjects
Cloud computing
Computational modeling
Energy consumption
energy optimization
IEEE 802.11 Standards
location-aware application
maximum matching
Mobile communication
Mobile handsets
multi-tired mobile computing
online offloading algorithms
Wireless communication
Online AccessGet full text
DOI10.1109/UCC.2014.19

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Summary:Mobile Cloud Computing (MCC) is emerging as a main ubiquitous computing platform which enables to leverage the resource limitations of mobile devices and wireless networks by offloading data-intensive computation tasks from resource-poor mobile devices to resource-rich clouds. In this paper, we consider an online location-aware offloading problem in a two-tiered mobile cloud computing environment consisting of a local cloudlet and remote clouds, with an objective to fair share the use of the cloudlet by consuming the same proportional of their mobile device energy, while keeping their individual SLA, for which we devise an efficient online algorithm. We also conduct experiments by simulations to evaluate the performance of the proposed algorithm. Experimental results demonstrate that the proposed algorithm is promising and outperforms other heuristics.
DOI:10.1109/UCC.2014.19