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Share-Based Edge Computing Paradigm With Mobile-to-Wired Offloading Computing
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DOI：10.1109/LCOMM.2019.2934411.png)
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Abstract
En 中文
The underutilized resources from nearby wired devices can be shared to compute for the restricted mobile devices at the edge of network. In this letter, we propose the share-based edge computing (SEC) paradigm with the mobile-to-wired (M2W) offloading computing. By sharing the idle resources under control of SEC servers, tasks from mobile devices can be computed on wired devices. Moreover, a well-designed computing allocation and sharing (CAS) algorithm is proposed to ensure the low fail ratio and the high utilization ratio of the SEC paradigm. Numerical results demonstrate the SEC paradigm has a better performance compared to local computing and mobile edge computing (MEC).
Keywords:
Task analysis
Servers
Mobile handsets
Delays
Edge computing
Resource management
Cloud computing
Mobile edge computing
computing sharing
task offloading
computing allocation
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