• Title/Summary/Keyword: 데브옵스 방법론

Search Result 3, Processing Time 0.017 seconds

SmartX Provisioning Framework for Automated Installation/Configuration of Multi-site based Cloud Infrastructure (멀티사이트 기반 클라우드 환경의 구성 자동화를 위한 SmartX 프로비저닝 프레임워크)

  • Shin, Jun-Sik;Kim, JongWon
    • KIISE Transactions on Computing Practices
    • /
    • v.22 no.11
    • /
    • pp.547-558
    • /
    • 2016
  • Construction of multi-site Cloud Infrastructure with OpenStack, the most popular cloud open source project with various ICT infrastructure technologies, has operational inefficiency due to installation complexity and geographical limitation. To address this inefficiency, we gradually developed automated installation/configuration tools to automate installation/configuration of Linux and OpenStack by complying with DevOps methodology over a multi-site OpenStack testbed called OF@KOREN SmartX Playground. However, the pre-developed installation tools can be used only for limited cases. Therefore, we designed and developed a prototype of SmartX Provisioning Framework which could conducts Playground-wide provisioning flexibly by following three steps of resource management in Software-defined Infrastructure. We verified the efficiency of the provisioning functionality of the framework by demonstrating an example of automated multi-site cloud construction.

Cloud-Native Expansion: Strategies for Encouraging Cloud Adoption in the Public Sector Through Qualitative and Quantitative Research Methods (Cloud-Native의 확산: 정성적·정량적 연구기법을 이용한 공공부문의 클라우드 활성화 방안)

  • Yi, Jaehyuk;Kim, Sanghyun
    • The Journal of Bigdata
    • /
    • v.8 no.2
    • /
    • pp.55-71
    • /
    • 2023
  • Cloud Native refers to the Technical Maturity Level of a cloud environment that can utilize all cloud resources to fully function. In converting public sector information resources to the cloud, the characteristics of the cloud are not being used well. Therefore, in this study, the qualitative research method cloud expert interview technique and the quantitative research method used text network analysis for domestic and foreign related articles. Through this, we analyzed the utilization trends related to domestic and foreign cloud natives and the cloud policies of developed countries. Through previous research, the core components of cloud-native were examined, and the need for agile methodologies that were not addressed in previous studies was raised. It is believed that these core components will be applied in the public sector to contribute to business innovation through digital innovation. In addition, this study aims to provide important implications for the use of cloud native in Korea through an in-depth discussion on how to spread cloud native in the public sector.

Systemic Ground-Segment Development for the Geostationary Ocean Color Imager II, GOCI-II (정지궤도 해양관측위성 지상시스템 개발)

  • Han, Hee-Jeong;Yang, Hyun;Heo, Jae-Moo;Park, Young-Je
    • KIISE Transactions on Computing Practices
    • /
    • v.23 no.3
    • /
    • pp.171-176
    • /
    • 2017
  • Recently, several information-technology research projects such as those for high-performance computing, the cloud service, and the DevOps methodology have been advanced to develop the efficiency of satellite data-processing systems. In March 2019, the Geostationary Ocean Color Imager II (GOCI-II) will be launched for its predictive capability regarding marine disasters and the management of the fishery environment; moreover, the GOCI-II Ground Segment (G2GS) system for data acquisition/processing/storing/distribution is being designed at the Korea Ocean Satellite Center (KOSC). The G2GS is composed of the following six functional subsystems: data-acquisition subsystem (DAS), data-correction subsystem (DCS), precision-correction subsystem (PCS), ocean data-processing subsystem (ODPS), data-management subsystem (DMS), and operation and quality management subsystem (OQMS). The G2GS will enable the real-time support of the GOCI-II ocean-color data for government-related organizations and public users.