C-POD: An AWS Cloud Framework for Edge Pod Automation and Remote Wireless Testbed Sharing

2026-02-12

AI Summary

This work proposes the first cloud-native framework that integrates public cloud infrastructure with edge Pods to lower the barrier to remote access and sharing of wireless testbeds. Built on the AWS platform, the framework leverages containerized edge environments, persistent SSH tunnels, and elastic resource scheduling to enable automated deployment, seamless remote access, and stable graphical user interface support for testbeds. The system has been successfully integrated with two types of wireless testbeds—radio frequency signal generation and 5G(B) communication—demonstrating significant improvements in resource-sharing efficiency, experimental observability, and system scalability.

Technology Category

• Machine Learning: Learning on the Edge & Model Compression
• Planning, Routing, and Scheduling: Plan Execution and Monitoring
• Application Domains: Internet of Things, Sensor Networks & Smart Cities

Application Category

• Systems and Infrastructure for Web, Mobile and WoT: Cloud, edge and content delivery systems for the Web
• Responsible Web: Consent frameworks and practices on the web
• Economics, Online Markets and Human Computation: Incentives in network design for Web infrastructures and ecosystems

Abstract

This paper presents C-POD, a cloud-native framework that automates the deployment and management of edge pods for seamless remote access and sharing of wireless testbeds. C-POD leverages public cloud resources and edge pods to lower the barrier to over-the-air (OTA) experimentation, enabling researchers to share and access distributed testbeds without extensive local infrastructure. A supporting toolkit has been developed for C-POD to enable flexible and scalable experimental workflows, including containerized edge environments, persistent Secure Shell (SSH) tunnels, and stable graphical interfaces. We prototype and deploy C-POD on the Amazon Web Services (AWS) public cloud to demonstrate its key features, including cloud-assisted edge pod deployment automation, elastic computing resource management, and experiment observability, by integrating two wireless testbeds that focus on RF signal generation and 5G(B) communications, respectively.

Problem

• wireless testbed
• edge pod
• remote access
• OTA experimentation
• cloud-native

Innovation

• cloud-native
• edge pod automation
• wireless testbed sharing
• containerized edge environment
• elastic resource management