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Adaptive fault-tolerant scheduling strategies for mobile cloud computing

  • JongHyuk Lee
  • JoonMin GilEmail author
Article
  • 18 Downloads

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.

Keywords

Adaptive scheduling Fault tolerance Replication Checkpoint Mobile cloud computing 

Notes

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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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Department of Big Data EngineeringDaegu Catholic UniversityGyeongsanRepublic of Korea
  2. 2.School of Information Technology EngineeringDaegu Catholic UniversityGyeongsanRepublic of Korea

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