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Edgerun FaaS
This project aims to provide a clear defined API that offers ways of interacting with a FaaS platform (i.e., deploy function) and expose runtime metrics (i.e., recent invocations) to develop strategies on managing function deployments (i.e., scaling).
EdgeRun aims to offer two different (ready-to-use) implementations that stem from completely different backgrounds:
- galileo-faas: implements this project for a real-world testbed based on Kubernetes and galileo-experiments.
- faas-sim: offers a trace-driven, event-based simulation for FaaS.
Use cases
The main use case of this project is to clearly define our vision of (1) interacting with a FaaS platform and (2) exposing runtime metrics to develop novel system components that revolve around scaling, scheduling and load balancing.
This translates to the following concrete use cases:
- You want to deploy, shutdown and invoke a running FaaS platform (with
FaaSSystem) - You want to implement a scaling/scheduling or load balancing solution that uses runtime metrics (with
PlatformContext)
1 maintainer
Metadata
1 maintainer
Release files for edgerun-faas 0.0.1.dev6
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| edgerun-faas-0.0.1.dev6.tar.gz | 18.5 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
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| edgerun_faas-0.0.1.dev6-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 45.9 kB
Release files / edgerun-faas-0.0.1.dev6.tar.gz
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Release files / edgerun_faas-0.0.1.dev6-py3-none-any.whl
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| Size | 27.3 kB |
| Tags | Python 3 |
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