Abstract
Cloud computing is an indispensable technology today; and, the container is a light-weighted virtualization technology in cloud computing. However, many container orchestration tools can’t allocate resource very well in terms of system usage. So, this paper proposes a new approach for allocating resources for containers to improve resource utilization and to reduce resource wasting. Containers with stable usage of resources should be close to the user, so the delay could be minimized to meet the needs of users. In order to solve this problem, the usage-aware resource allocation algorithm (UARA) is proposed to make containers with stable usage evenly to be deployed on edge nodes. The goal is to effectively utilize edge node resources and to reduce latency. The proposed approach analyzes the resource usage, resource stability of edge nodes, and predicts the trend of future resource requirements of containers. Experimental results show that the edge computing system using the proposed algorithm could keep the container with effective resource usage on the edge and reduce the load of offloading containers.
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Acknowledgement
This study was sponsored by the Ministry of Science and Technology, Taiwan, R.O.C., under contract numbers: MOST 107-2221-E-142-004-MY3
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Ho, KY., Hsieh, TH., Tsai, MY., Lai, KC. (2020). Usage-Aware Resource Allocation in Edge Computing. In: Hung, J., Yen, N., Chang, JW. (eds) Frontier Computing. FC 2019. Lecture Notes in Electrical Engineering, vol 551. Springer, Singapore. https://doi.org/10.1007/978-981-15-3250-4_28
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DOI: https://doi.org/10.1007/978-981-15-3250-4_28
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