Abstract
With the exponential growth of the Internet of Things (IoT), edge computing is in the limelight for its ability to quickly and efficiently process numerous data generated by IoT devices. EdgeX Foundry is a representative open-source-based IoT gateway platform, providing various IoT protocol services and interoperability between them. However, due to the absence of container orchestration technology, such as automated deployment and dynamic resource management for application services, EdgeX Foundry has fundamental limitations of a potential edge computing platform. In this paper, we propose EdgeX over Kubernetes, which enables remote service deployment and autoscaling to application services by running EdgeX Foundry over Kubernetes, which is a product-grade container orchestration tool. Experimental evaluation results prove that the proposed platform increases manageability through the remote deployment of application services and improves the throughput of the system and service quality with real-time monitoring and autoscaling.
Highlights
With the exponential growth of the Internet of Things (IoT), the number of connected devices is constantly increasing as various application services such as augmented reality (AR), virtual reality (VR), smart cars, smart cities, and healthcare, have developed in recent years
In this paper, based on the idea that EdgeX Foundry is a promising platform for building an IoT edge computing infrastructure, we propose EdgeX over Kubernetes (EoK), which utilizes EdgeX
The Horizontal Pod Autoscaler (HPA) is an essential technology for IoT edge computing infrastructure, where user requests can vary over location and time
Summary
With the exponential growth of the Internet of Things (IoT), the number of connected devices is constantly increasing as various application services such as augmented reality (AR), virtual reality (VR), smart cars, smart cities, and healthcare, have developed in recent years. EdgeX Foundry has many advantages, it lacks container orchestration abilities, such as the dynamic deployment of microservices and dynamic resource management, leading to the following challenges in building and operating edge computing infrastructure with multiple edge nodes. EdgeX Foundry does not support remote deployment and management of services across multiple edge nodes because it adopts Docker Compose [8] to deploy and manage container-based application services. Kubernetes is a product-grade container orchestration tool that provides useful functions for use in an edge computing environment, such as automated deployment, resource management, load balancing, and autoscaling [9]. We propose EoK as a practical implementation of EdgeX Foundry to improve manageability through the remote deployment of services. The HPA feature in Kubernetes can result in improved throughput and latency of services in the EoK system compared with the original EdgeX Foundry platform.
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