이춘화
2019-07-23T06:07:01Z
2019-07-23T06:07:01Z
2019-01
APPLIED SCIENCES-BASEL, v. 9, NO 1, Page. 191
2076-3417
https://www.mdpi.com/2076-3417/9/1/191
https://repository.hanyang.ac.kr/handle/20.500.11754/107717
Kubernetes, a container orchestration tool for automatically installing and managing Docker containers, has recently begun to support a federation function of multiple Docker container clusters. This technology, called Kubernetes Federation, allows developers to increase the responsiveness and reliability of their applications by distributing and federating container clusters to multiple service areas of cloud service providers. However, it is still a daunting task to manually manage federated container clusters across all the service areas or to maintain the entire topology of cloud applications at a glance. This research work proposes a method to automatically form and monitor Kubernetes Federation, given application topology descriptions in TOSCA (Topology and Orchestration Specification for Cloud Applications), by extending the orchestration tool that automatizes the modeling and instantiation of cloud applications. It also demonstrates the successful federation of the clusters according to the TOSCA specifications and verifies the auto-scaling capability of the configured system through a scenario in which the servers of a sample application are deployed and federated.
This research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science and ICT (No. 2017R1A2B4010395).
en
MDPI
auto-scaling
cloud computing
Docker
cloud orchestration
cloud federation
TOSCA (Topology and Orchestration Specification for Cloud Applications)
TOSCA-Based and Federation-Aware Cloud Orchestration for Kubernetes Container Platform
Article
1
9
10.3390/app9010191
1-13
APPLIED SCIENCES-BASEL
Kim, Dongmin
Muhammad, Hanif
Kim, Eunsam
Helal, Sumi
Lee, Choonhwa
2019038379
S
COLLEGE OF ENGINEERING[S]
DEPARTMENT OF COMPUTER SCIENCE
lee
L-1691-2016
http://orcid.org/0000-0002-6564-2392