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Poster Session I

Building Stream Data Platform in Edge and Distributed Cloud Environment

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

저자정보

  • 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

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