LinkLab 2.0: A Multi-tenant Programmable IoT Testbed for Experimentation with Edge-Cloud Integration


Wei Dong, Borui Li, Haoyu Li, Hao Wu, Kaijie Gong, Wenzhao Zhang, and Yi Gao, Zhejiang University


In this paper, we present LinkLab 2.0, a completely programmable and controllable IoT testbed with the support of edge devices and cloud infrastructures. To be more specific, LinkLab 2.0 leverages a tiered architecture for the programmable devices and the management system to achieve scalability. To better support the integrated experiment among IoT, edge and cloud, LinkLab 2.0 provides one-site programming support and leverages the customizable offloading with serverless functions. Moreover, LinkLab 2.0 proposes a device-involved multi-tenancy approach to ensure responsiveness for concurrent requests. Furthermore, targeting 24/7 availability for experimenters, LinkLab 2.0 leverages proactive and reactive anomaly detection to improve the reliability of the testbed. Finally, we describe the supported research experiments and the outreach usage by external users. We also report lessons learned from the four-year operation. LinkLab 2.0 has supported experiments for 2,100+ users. The accumulated usage time across all the devices exceeds 17,300 hours.

NSDI '23 Open Access Sponsored by
King Abdullah University of Science and Technology (KAUST)

Open Access Media

USENIX is committed to Open Access to the research presented at our events. Papers and proceedings are freely available to everyone once the event begins. Any video, audio, and/or slides that are posted after the event are also free and open to everyone. Support USENIX and our commitment to Open Access.

This content is available to:

@inproceedings {285062,
author = {Wei Dong and Borui Li and Haoyu Li and Hao Wu and Kaijie Gong and Wenzhao Zhang and Yi Gao},
title = {{LinkLab} 2.0: A Multi-tenant Programmable {IoT} Testbed for Experimentation with {Edge-Cloud} Integration},
booktitle = {20th USENIX Symposium on Networked Systems Design and Implementation (NSDI 23)},
year = {2023},
isbn = {978-1-939133-33-5},
address = {Boston, MA},
pages = {1683--1699},
url = {},
publisher = {USENIX Association},
month = apr,
Dong Paper (Prepublication) PDF

Presentation Video