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.
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