Abstract
Energy consumption is a relevant matter in the design of IoT applications. Edge units—sensors and actuators—save energy by operating intermittently. When idle, they suspend their operation, losing the content of the onboard memory. Their internal state, needed to resume their work, is recorded on external storage: in the end, their internal operation is stateless. The backend infrastructure does not follow the same design principle: concentrators, routers, and servers are always-on devices that frustrate the energy-saving operation of edge devices. In this paper, we show how serverless functions, asynchronously invoked by the stateless edge devices, are an energy-saving option. We introduce a basic model for system operation and energy footprint evaluation. To demonstrate its soundness, we study a simple use case, from the design to a prototype.
Reference24 articles.
1. Edge Computing, IoT and Social Computing in Smart Energy Scenarios
2. Exploring Container Virtualization in IoT Clouds
3. A Container-Based Edge Cloud PaaS Architecture Based on Raspberry Pi Clusters
4. Serverless at the Edge: Up and Running w/OpenFaaS & Docker on a Raspberry Pi Multi-Node Cluster with PiBakeryhttps://medium.com/@JockDaRock/serverless-at-the-edge-up-and-running-w-openfaas-docker-on-a-raspberry-pi-multi-node-cluster-e0957f4d8a49
5. An Evaluation of Open Source Serverless Computing Frameworks
Cited by
2 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献