@inproceedings{37cd2ef01b644dbbb3e518a36f311a7e,
title = "Efficient Container Management Scheme Based on Deep Learning Model",
abstract = "The container orchestration platform provides services and applications to users by automatically managing containers in cloud-native clusters. However, the conventional container management technique operates based on a reactive mechanism, so it is difficult to guarantee availability for a rapidly changing workload, and a problem arises in which resources are wasted. Therefore, this study proposes an efficient container management scheme (ECMS) that guarantees high availability and scalability of cloud services and applications composed of various workloads and minimizes idle resources. ECMS predicts future workload by training accumulated past resource usage metrics on a deep learning model. ECMS creates a container by scaling the size of the resource to prevent the generation of idle resources, then selects a node that guarantees high availability and deploys the container. Lastly, it provides scalability of service by performing horizontal resource container autoscaling based on proactive mechanism.",
keywords = "Cloud computing, Container automation system, Deep learning, Resource usage forecasting",
author = "Byeonghui Jeong and Jueun Jeon and Seungyeon Baek and Jeong, {Young Sik}",
note = "Publisher Copyright: {\textcopyright} 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.; 14th International Conference on Computer Science and its Applications, CSA 2022 and the 16th KIPS International Conference on Ubiquitous Information Technologies and Applications, CUTE 2022 ; Conference date: 19-12-2022 Through 21-12-2022",
year = "2023",
doi = "10.1007/978-981-99-1252-0_81",
language = "English",
isbn = "9789819912513",
series = "Lecture Notes in Electrical Engineering",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "607--610",
editor = "Park, {Ji Su} and Yang, {Laurence T.} and Yi Pan and Yi Pan and Park, {Jong Hyuk}",
booktitle = "Advances in Computer Science and Ubiquitous Computing - Proceedings of CUTE-CSA 2022",
address = "Germany",
}