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Context‐aware computation offloading for mobile edge computing

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Abstract

Along with the rise of mobile devices, the resource demands of respective applications grow. However, mobile devices have limited computation and storage resources. Computation offloading is a prominent solution to overcome the limitations. However, current approaches fail to address the complexity caused by quickly and constantly changing context conditions in mobile edge computing. In this paper, the contexts are gathered and processed using Monitor-Analysis-Plan-Execution (MAPE) loop for making offloading decisions. The results show that the proposed context-aware approach outperforms local computing and offloading without considering context approaches in terms of delay, energy consumption, network usage, and execution cost.

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Authors and Affiliations

  1. Department of Computer Engineering, Qom Branch, Islamic Azad University, Qom, Iran

    Fariba Farahbakhsh, Ali Shahidinejad & Mostafa Ghobaei-Arani

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  1. Fariba Farahbakhsh
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  2. Ali Shahidinejad
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  3. Mostafa Ghobaei-Arani
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Correspondence to Ali Shahidinejad.

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Farahbakhsh, F., Shahidinejad, A. & Ghobaei-Arani, M. Context‐aware computation offloading for mobile edge computing. J Ambient Intell Human Comput 14, 5123–5135 (2023). https://doi.org/10.1007/s12652-021-03030-1

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  • DOI: https://doi.org/10.1007/s12652-021-03030-1

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