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Adaptive fault-tolerant scheduling strategies for mobile cloud computing

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Abstract

Mobile cloud computing is a form of cloud computing that incorporates mobile devices such as smartphones and tablet PCs into the cloud infrastructure. As mobile devices are resource-constrained in nature, new scheduling strategies are required when using them as resource providers. Based on our previous group-based scheduling algorithm, we present fault-tolerant scheduling algorithms considering checkpoint and replication mechanisms to actively cope with faults. We carried out the performance evaluation with simulation to demonstrate that our algorithm is more efficient than the existing one lacking fault tolerance in terms of accuracy rate, resource consumption, and average execution time. In particular, the average execution time was reduced by about 60%, resulting in the reduction of resource consumption.

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Acknowledgements

This research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (NRF-2014R1A1A2055463).

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Authors and Affiliations

  1. Department of Big Data Engineering, Daegu Catholic University, Gyeongsan, Republic of Korea

    JongHyuk Lee

  2. School of Information Technology Engineering, Daegu Catholic University, Gyeongsan, Republic of Korea

    JoonMin Gil

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  1. JongHyuk Lee
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  2. JoonMin Gil
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Correspondence to JoonMin Gil.

Additional information

This paper is an extended version of conference papers that appeared as [24, 26].

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Lee, J., Gil, J. Adaptive fault-tolerant scheduling strategies for mobile cloud computing. J Supercomput 75, 4472–4488 (2019). https://doi.org/10.1007/s11227-019-02745-5

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  • DOI: https://doi.org/10.1007/s11227-019-02745-5

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