Building Stream Data Platform in Edge and Distributed Cloud Environment

다국어 초록 (Multilingual Abstract)

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 (Table of Contents)

• 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