CloudRAFT: A Cloud-based Framework for Remote Experimentation for Mobile Networks
Sabarish Krishna Moorthy, Chencheng Lu, Zhangyu Guan, Nicholas Mastronarde, George Sklivanitis, Dimitris A. Pados, Elizabeth Serena Bentley, Michael J. Medley · 2022
In this article we explore new techniques that can enable open remote experimentation for mobile networks. We first propose a cloud-based framework called CloudRAFT, based on which experimenters are allowed to remotely access and control experimental resources via public cloud AWS and share the resulting data and code via the cloud. Then, we discuss the enabling techniques for CloudRAFT, including Amazon serverless service, VNC-based remote command line, and Websocket-based real time communications, among others. Finally, we showcase the application of these techniques in enabling remote access to UB NeXT, a software-defined testbed that has been developed at University at Buffalo for wireless mobile network modeling, optimization and deployment. This work verifies the feasibility of accessing, controlling and sharing wireless testbeds through a remote public cloud.