Abstract

Over the past few years, due to the boom of advances in image processing, edge computing, and wireless networking, unpiloted aerial vehicles, often referred to as drones, have become an important enabler to support a wide variety of scientific applications, ranging from environmental monitoring, disaster response, and wildfire monitoring to the survey of archaeological sites. In this article, we present the FlyNet platform, which extends an existing workflow management system to support and manage scientific workflows. FlyNet enables automated resource allocation, workflow instrumentation, and network service support to support researchers in their goal to analyze data for new scientific discoveries. In addition, FlyNet provides network services management to support quality of service for efficient data transport between edge devices, edge servers, and the cloud.

Date

May 10, 2023

Authors

Alicia Esquivel Morel, Chengyi Qu, Prasad Calyam, Cong Wang, Komal Thareja, Anirban Mandal, Eric Lyons, Michael Zink, George Papadimitriou, Ewa Deelman

Journal

IEEE Internet Computing

Volume

27

Issue

3

Pages

35-43

Publisher

IEEE