Amazing technological breakthrough possible @S-Logix pro@slogix.in

Office Address

  • #5, First Floor, 4th Street Dr. Subbarayan Nagar Kodambakkam, Chennai-600 024 Landmark : Samiyar Madam
  • pro@slogix.in
  • +91- 81240 01111

Social List

Container-Based Virtualization for Real-Time Data Streaming Processing on the Edge Computing Architecture - 2018

Container-Based Virtualization for Real-Time Data Streaming Processing on the Edge Computing Architecture

Research Paper on Container-Based Virtualization for Real-Time Data Streaming Processing on the Edge Computing Architecture

Research Area:  Edge Computing

Abstract:

Container-based virtualization is one of the prominent technologies in the cloud computing. Containers virtualize at the operating system level which provides a lightweight operation than traditional virtualization on a hypervisor. The combination of the Internet of Things (IoT), edge computing and container-based virtualization is going to make system rapid, inexpensive, and more reliable. In this paper, we intend to implement a complete set of edge computing architectures based on containerization on an IoT environment. In this case, we implemented container-based virtualization which constructs Kubernetes Minion (Nodes) in the Docker container service independently for each service on the Edge side. We used humidity and temperature sensory data as our case study. We set up the Raspberry Pi on the Edge Gateway and Kubernetes minion on the Raspberry Pi to provide the service application, which contains Grafana, the open platform for analytics and monitoring. For short-term data storage, we use InfluxDB as a data store for large amounts of time-series data.

Keywords:  
Container-based virtualization
Kubernetes
Docker
Internet of Things (IoT)
Edge computing

Author(s) Name:  Endah Kristiani, Chao-Tung Yang, Yuan-Ting Wang, Chin-Yin Huang & Po-Cheng Ko

Journal name:  

Conferrence name:  International Wireless Internet Conference

Publisher name:  Springer

DOI:  10.1007/978-3-030-06158-6_21

Volume Information: