A popularity-aware and energy-efficient offloading mechanism in fog computing

Yung Ting Chuang*, Chiu Shun Hsiang

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

As more and more applications with high computing requirements appear on mobile devices, considering the limited computing resources and energy of those devices, many devices offload this type of task to the surrounding cloud or fog. By offloading tasks to the server, mobile devices can save execution time and energy. However, designing an effective offloading strategy that balances performance with energy efficiency remains a challenge. This paper proposed a robust system that considers energy consumption, execution time, load balancing and popularity in offloading decisions. The goal of the system is to maximize the execution efficiency of mobile devices and minimize their overall energy consumption. The experiments demonstrate that the proposed method requires low execution time and energy consumption on the part of mobile devices, increases the utilization of the server, and still effectively reduces overall energy consumption and execution time in all scenarios.

Original languageEnglish
Pages (from-to)19435-19458
Number of pages24
JournalJournal of Supercomputing
Volume78
Issue number18
DOIs
StatePublished - Dec 2022

Keywords

  • Energy efficiency
  • Fog computing
  • Task offloading

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