Check out “Benchmarking an EDGELESS Cluster for Serverless Edge Computing Applications” at ML4ECS: how evaluate the performance of an EDGELESS system in controlled and repeatable conditions thanks to the edgeless_benchmark tool.
Source code: https://github.com/edgeless-project/edgeless/blob/main/documentation/benchmark.md
Abstract: https://ml4ecs.e-ce.uth.gr/app/uploads/2025/02/5.ML4ECS_paper.pdf
Slides: https://ml4ecs.e-ce.uth.gr/app/uploads/2025/02/5.ML4ECS_Presentation.pdf
At EDGELESS (https://bit.ly/3GEoBFE) 🎉, we released our first stable version v1.0.0 of the core components, including many exciting features 🚀:
- Multi-run-time support in nodes (WASM and Docker containers) ⚙️;
- Resources supported: dda, file-log, http-egress, http-ingress, kafka-egress, ollama, redis 🔧;
- Local observability supported at the ε-ORC through node telemetry 📊;
- Delegated orchestration implemented at the ε-ORC via a Redis proxy 🔄;
- Benchmarking suite 🧑💻
Welcome to EDGELESS Cognitive edge-cloud with serverless computing EDGELESS project aims to leverage the serverless concept in all the layers in the edge-cloud continuum to fully benefit from diverse and decentralised computational resources available on-demand close to where data are produced or consumed. In particular, we aim at realising an efficient and transparent horizontal pooling […]