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

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dc.contributor.authorPark, Jaesung-
dc.contributor.authorLim, Yujin-
dc.date.accessioned2023-11-08T06:50:16Z-
dc.date.available2023-11-08T06:50:16Z-
dc.date.issued2023-02-01-
dc.identifier.issn2076-3417-
dc.identifier.issn2076-3417-
dc.identifier.urihttps://scholarworks.sookmyung.ac.kr/handle/2020.sw.sookmyung/152025-
dc.description.abstractThe 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%.-
dc.language영어-
dc.language.isoENG-
dc.publisherMDPI-
dc.titleBio-Inspired Sleep Control for Improving the Energy Efficiency of a MEC System-
dc.typeArticle-
dc.publisher.location스위스-
dc.identifier.doi10.3390/app13042620-
dc.identifier.scopusid2-s2.0-85149318079-
dc.identifier.wosid000938774000001-
dc.identifier.bibliographicCitationAPPLIED SCIENCES-BASEL, v.13, no.4-
dc.citation.titleAPPLIED SCIENCES-BASEL-
dc.citation.volume13-
dc.citation.number4-
dc.type.docTypeArticle-
dc.description.isOpenAccessY-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaChemistry-
dc.relation.journalResearchAreaEngineering-
dc.relation.journalResearchAreaMaterials Science-
dc.relation.journalResearchAreaPhysics-
dc.relation.journalWebOfScienceCategoryChemistry, Multidisciplinary-
dc.relation.journalWebOfScienceCategoryEngineering, Multidisciplinary-
dc.relation.journalWebOfScienceCategoryMaterials Science, Multidisciplinary-
dc.relation.journalWebOfScienceCategoryPhysics, Applied-
dc.subject.keywordPlusEDGE COMPUTING SERVERS-
dc.subject.keywordAuthorMEC energy saving-
dc.subject.keywordAuthorMECS sleep control-
dc.subject.keywordAuthorTask QoS-
dc.subject.keywordAuthorinter-cell signaling model-
dc.subject.keywordAuthorbio-inspired approach-
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공과대학 (인공지능공학부)
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