@inproceedings{d9e0e5e570ab466db63c72be50ddbd1c,
title = "Performance Evaluation of Resource Management Schemes for Cloud Native Platforms with Computing Containers",
abstract = "Businesses have made increasing adoption and incorporation of cloud technology into internal processes in the last decade. The cloud-based deployment provides on-demand availability without active management. More recently, the concept of cloud-native application has been proposed and represents an invaluable step toward helping organizations develop software faster and update it more frequently to achieve dramatic business outcomes. Cloud-native is an approach to build and run applications that exploit the cloud computing delivery model's advantages. It is more about how applications are created and deployed than where. The container-based virtualization technology, e.g., Docker and Kubernetes, serves as the foundation for cloud-native applications.",
keywords = "Container Management, Docker Swarm, Kubernetes, Pytorch, Spark, Tensorflow",
author = "Yuqi Fu and Naseem MacHlovi and Ying Mao and Jiayin Wang and Long Cheng and Qingzhi Liu",
note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 2022 IEEE International Performance, Computing, and Communications Conference, IPCCC 2022 ; Conference date: 11-11-2022 Through 13-11-2022",
year = "2022",
doi = "10.1109/IPCCC55026.2022.9894300",
language = "English",
series = "Conference Proceedings of the IEEE International Performance, Computing, and Communications Conference",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "414--415",
booktitle = "2022 IEEE International Performance, Computing, and Communications Conference, IPCCC 2022",
}