Reference Hub1
Scalable Edge Computing Environment Based on the Containerized Microservices and Minikube

Scalable Edge Computing Environment Based on the Containerized Microservices and Minikube

Nitin Rathore, Anand Rajavat
Copyright: © 2022 |Volume: 14 |Issue: 1 |Pages: 14
ISSN: 1942-9045|EISSN: 1942-9037|EISBN13: 9781683181019|DOI: 10.4018/IJSSCI.312560
Cite Article Cite Article

MLA

Rathore, Nitin, and Anand Rajavat. "Scalable Edge Computing Environment Based on the Containerized Microservices and Minikube." IJSSCI vol.14, no.1 2022: pp.1-14. http://doi.org/10.4018/IJSSCI.312560

APA

Rathore, N. & Rajavat, A. (2022). Scalable Edge Computing Environment Based on the Containerized Microservices and Minikube. International Journal of Software Science and Computational Intelligence (IJSSCI), 14(1), 1-14. http://doi.org/10.4018/IJSSCI.312560

Chicago

Rathore, Nitin, and Anand Rajavat. "Scalable Edge Computing Environment Based on the Containerized Microservices and Minikube," International Journal of Software Science and Computational Intelligence (IJSSCI) 14, no.1: 1-14. http://doi.org/10.4018/IJSSCI.312560

Export Reference

Mendeley
Favorite Full-Issue Download

Abstract

The growing number of connected IoT devices and their continuous data collection will generate huge amounts of data in the near future. Edge computing has emerged as a new paradigm in recent years for reducing network congestion and offering real-time IoT applications. Processing the large amount of data generated by such IoT devices requires the development of a scalable edge computing environment. Accordingly, applications deployed in an edge computing environment need to be scalable enough to handle the enormous amount of data generated by IoT devices. The performance of MSA and monolithic architecture is analyzed and compared to develop a scalable edge computing environment. An auto-scaling approach is described to handle multiple concurrent requests at runtime. Minikube is used to perform auto-scaling operation of containerized microservices on resource constraint edge node. Considering performance of both the architecture and according to the results and discussions, MSA is a better choice for building scalable edge computing environment.

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.