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Bio-Inspired Sleep Control for Improving the Energy Efficiency of a MEC Systemopen access

Authors
Park, JaesungLim, Yujin
Issue Date
1-Feb-2023
Publisher
MDPI
Keywords
MEC energy saving; MECS sleep control; Task QoS; inter-cell signaling model; bio-inspired approach
Citation
APPLIED SCIENCES-BASEL, v.13, no.4
Journal Title
APPLIED SCIENCES-BASEL
Volume
13
Number
4
URI
https://scholarworks.sookmyung.ac.kr/handle/2020.sw.sookmyung/152025
DOI
10.3390/app13042620
ISSN
2076-3417
2076-3417
Abstract
The energy consumption of a multi-access edge computing (MEC) system must be reduced to save operational costs. Determining a set of active MEC servers (MECSs) that can minimize the energy consumption of the MEC system while satisfying the service delay requirements of the tasks is an NP-complete problem. To solve this problem, we take a bio-inspired approach. We note that the sleep control problem of the MECS differentiates the operational mode among neighboring MECSs. Therefore, by mimicking the cell differentiation process in a biological system, we designed a distributed sleep control method. Each MECS periodically gathers the utilization and delta levels of the neighboring MECSs. Subsequently, by using the gathered information and the Delta-Notch inter-cell signaling model, a MECS autonomously decides whether to sleep. We evaluated the performance of our method through extensive simulations. Compared with a conventional method, the proposed method reduces energy consumption in a MEC system by more than 13% while providing a comparable service delay. In addition, our method reduces the variations in the service delay by more than 35%.
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공과대학 (인공지능공학부)
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