ACO-based solution for computation offloading in mobile cloud computing

  • Received: 01 July 2015 Revised: 01 August 2015 Published: 01 January 2016
  • The cloud computing has attracted growing attentions for its benefits to providing on-demand services, mobile cloud computing (MCC) enables an increasing number of applications and computational services available on mobile devices. In MCC, computation offloading is one of the most important challenges to provide remote execution of applications to the mobile devices. Here we mainly introduce the ant colony optimization (ACO) to address this challeng and propose an ACO-based solution to the computation offloading problem. The proposed method can be well implemented in practice and presents with low computing complexity.

    Citation: Weidong Bao, Haoran Ji, Xiaomin Zhu, Ji Wang, Wenhua Xiao, Jianhong Wu. ACO-based solution for computation offloading in mobile cloud computing[J]. Big Data and Information Analytics, 2016, 1(1): 1-13. doi: 10.3934/bdia.2016.1.1

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  • The cloud computing has attracted growing attentions for its benefits to providing on-demand services, mobile cloud computing (MCC) enables an increasing number of applications and computational services available on mobile devices. In MCC, computation offloading is one of the most important challenges to provide remote execution of applications to the mobile devices. Here we mainly introduce the ant colony optimization (ACO) to address this challeng and propose an ACO-based solution to the computation offloading problem. The proposed method can be well implemented in practice and presents with low computing complexity.


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