Cloud-Based Federation Framework and Prototype for Open, Scalable, and Shared Access to NextG and IoT Testbeds
In this work, we present a new federation framework for Union-Labs, an innovative cloud-based resource-sharing infrastructure designed for next-generation (NextG) and Internet of Things (IoT) over-the-air (OTA) experiments. The framework aims to reduce the federation complexity for testbeds developers by automating tedious backend operations, thereby providing scalable federation and remote access to various wireless testbeds. We first describe the key components of the new federation framework, including the Systems Manager Integration Engine (SMIE), the Automated Script Generator (ASG), and the Database Context Manager (DCM). We then prototype and deploy the new Federation Plane on the Amazon Web Services (AWS) public cloud, demonstrating its effectiveness by federating two wireless testbeds: i) UB NeXT, a 5G-and-beyond (5G+) testbed at the University at Buffalo, and ii) UT IoT, an IoT testbed at the University of Utah1.
Authors
- Maxwell McManus (ORCID: https://orcid.org/0000-0002-3477-3840)
- Jiangqi Hu (ORCID: https://orcid.org/0000-0002-5848-4699)
- Nicholas Mastronarde (ORCID: https://orcid.org/0000-0002-8474-7237)
- Mingyue Ji (ORCID: https://orcid.org/0000-0002-7970-2245)
- Elizabeth Serena Bentley (ORCID: https://orcid.org/0000-0003-0972-9933)
- Zhangyu Guan (ORCID: https://orcid.org/0000-0001-6134-215X)
- Josh Zhang
- Tenzin Rinchen
- Xi Wang (ORCID: https://orcid.org/0009-0004-5367-9560)
- Sumanth Thota
- Annoy Dey
- Michael J. Medley
Institutions
- United States Air Force Research Laboratory (US)
- Eastern New Mexico University (US)
- University of Florida (US)
- University at Buffalo, State University of New York (US)
- SUNY Polytechnic Institute (US)
Publication Details
- Published
- 2024-12-04
- DOI
- https://doi.org/10.1145/3636534.3697295
- Primary Topic
- IoT and Edge/Fog Computing
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Science Foundation
- Air Force Research Laboratory