EdgeRDV: Framework for Edge Workload Management at Scale
Gloire Rubambiza, Braulio Dumba, et al.
EDGE 2023
The proliferation of edge devices and the rapid growth of IoT data have called forth the edge computing paradigm. Function-as-a-service (FaaS) is a promising computing paradigm to realize edge computing. This paper explores the feasibility and advantages of FaaS-based edge computing. It also studies the research challenges that should be addressed in the design of such systems, which are 1) the quick decomposing and recomposing of applications, 2) the trade-off between performance and isolation of sandbox mechanisms, and 3) distributed scheduling. The challenges are illustrated by evaluating existing FaaS-based edge platforms, AWS IoT Greengrass, and OpenFaaS.
Gloire Rubambiza, Braulio Dumba, et al.
EDGE 2023
Erik Altman, Jovan Blanusa, et al.
NeurIPS 2023
Pavel Klavík, A. Cristiano I. Malossi, et al.
Philos. Trans. R. Soc. A
Conrad Albrecht, Jannik Schneider, et al.
CVPR 2025