Distance-Only Task Orchestration Algorithm for Energy Efficiency in Satellite-Based Mist Computing.
CoRR(2023)
摘要
This paper addresses the challenge of efficiently offloading heavy computing
tasks from ground mobile devices to the satellite-based mist computing
environment. With ground-based edge and cloud servers often being inaccessible,
the exploitation of satellite mist computing becomes imperative. Existing
offloading algorithms have shown limitations in adapting to the unique
characteristics of heavy computing tasks. Thus, we propose a heavy computing
task offloading algorithm that prioritizes satellite proximity. This approach
not only reduces energy consumption during telecommunications but also ensures
tasks are executed within the specified timing constraints, which are typically
non-time-critical. Our proposed algorithm outperforms other offloading schemes
in terms of satellites energy consumption, average end-to-end delay, and tasks
success rates. Although it exhibits a higher average VM CPU usage, this
increase does not pose critical challenges. This distance-based approach offers
a promising solution to enhance energy efficiency in satellite-based mist
computing, making it well-suited for heavy computing tasks demands.
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