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http://dx.doi.org/10.14372/IEMEK.2020.15.6.299

Multi-access Edge Computing Scheduler for Low Latency Services  

Kim, Tae-Hyun (Daegu University)
Kim, Tae-Young (Daegu University)
Jin, Sunggeun (Daegu University)
Publication Information
IEMEK Journal of Embedded Systems and Applications / v.15, no.6, 2020 , pp. 299-305 More about this Journal
Abstract
We have developed a scheduler that additionally consider network performance by extending the Kubernetes developed to manage lots of containers in cloud computing nodes. The network delay adapt characteristics of the compute nodes were learned during server operation and the learned results were utilized to develop placement algorithm by considering the existing measurement units, CPU, memory, and volume together, and it was confirmed that the low delay network service was provided through placement algorithm.
Keywords
Cloud computing; Containers; Edge computing; Scheduling; Low latency; Network;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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