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Building Stream Data Platform in Edge and Distributed Cloud Environment

원문정보

초록

영어
Recently, with the development of IoT technology, data has increased, and problems with the centralized cloud computing method are appearing. As an alternative to this, Edge Computing, a distributed cloud method that processes data close to the edge of the network where data is generated, is utilized. On the other hand, as the number of containers on one host increases, container management becomes difficult, and accordingly, container orchestration technology capable of configuring and managing a large number of containers is required. In this paper, we measure, compare, and analyze the time to transmit sensor data to the DB server of each Kubernetes cluster by building a multicluster infrastructure using Kubernetes, which is the most used container orchestration tool.

목차

Abstract
I. INTRODUCTION
II. RELATED WORK
A. Edge Computing
B. Docker
C. Kubernetes
III. CONSTURCTION OF THE PLATFORM AND INFRASTRUCTURE
A. Stream Data Platform
B. K8s Multi-Cluster Infrastructure
IV. EXPERIMENT
A. Experiment Environment
B. Experiment result
V. CONCLUSION
ACKNOWLEDGMENT

저자

  • Seunghwan Lee [ dept. of Data and Knowledge Service Engineering Dankook University ]
  • Sunghwan Jeon [ dept. of Data and Knowledge Service Engineering Dankook University ]
  • Haejin Chung [ SW Convergence College Dankook University ]
  • Yunmook Nah [ dept. of Computer Engineering Dankook University ] Corresponding Author

참고문헌

자료제공 : 네이버학술정보

    간행물 정보

    • 간행물
      한국차세대컴퓨팅학회 학술대회
    • 간기
      반년간
    • 수록기간
      2021~2025
    • 십진분류
      KDC 566 DDC 004