Abstract

Many Internet of Things (IoT) applications require compute resources that cannot be provided by the devices themselves. At the same time, processing of the data generated by IoT devices often has to be performed in real- or near real-time. Examples of such scenarios are autonomous vehicles in the form of cars and drones where the processing of observational data (e.g., video feeds) needs to be performed expeditiously to allow for safe operation. To support the computational needs and timeliness requirements of such applications it is essential to include suitable edge resources to execute these applications. In this paper, we present our FlyNet architecture which has the goal to provide a new platform to support workflows that include applications executing at the network edge, at the computing core, and leverage deeply programmable networks. We discuss the challenges associated with provisioning such …

Date

2021

Authors

Eric Lyons, Hakan Saplakoglu, Michael Zink, Komal Thareja, Anirban Mandal, Chengyi Qu, Songjie Wang, Prasad Calyam, George Papadimitriou, Ryan Tanaka, Ewa Deelman

Book

Proceedings of the 14th IEEE/ACM International Conference on Utility and Cloud Computing

Pages

1-10