Performance Evaluation of Resource Management Schemes for Cloud Native Platforms with Computing Containers

Yuqi Fu, Naseem MacHlovi, Ying Mao, Jiayin Wang, Long Cheng, Qingzhi Liu

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.

Original languageEnglish
Title of host publication2022 IEEE International Performance, Computing, and Communications Conference, IPCCC 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages414-415
Number of pages2
ISBN (Electronic)9781665480192
DOIs
StatePublished - 2022
Event2022 IEEE International Performance, Computing, and Communications Conference, IPCCC 2022 - Austin, United States
Duration: Nov 11 2022Nov 13 2022

Publication series

NameConference Proceedings of the IEEE International Performance, Computing, and Communications Conference
Volume2022-November

Conference

Conference2022 IEEE International Performance, Computing, and Communications Conference, IPCCC 2022
Country/TerritoryUnited States
CityAustin
Period11/11/2211/13/22

ASJC Scopus subject areas

  • General Engineering

Keywords

  • Container Management
  • Docker Swarm
  • Kubernetes
  • Pytorch
  • Spark
  • Tensorflow

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