Brief

HAMS is a research project. HAMS means high availability for ML service graphs.

You may would like to refer to our paper:

HAMS: High Availability for Distributed Machine Learning Service Graphs (will appear at DSN '20)

The project follows Apache 2.0.

The code is still under code cleaning, document preparation. Current HAMS only support key functionalities that deploy a directed graph of ML services and provide fault tolerance to the service.

More functionalities like fine grained control of the services and more flexibilities are still under development.

Authors:

• Shixiong Zhao ([email protected])
• Xusheng Chen ([email protected])

Architecture

admin: Deployment interfaces of services. Management daemon. The admin interfaces is developed from Clipper (ucbrise lab, https://github.com/ucbrise/clipper), and finally only remains some of the code structures.

applications: Definition and dockerfiles for the applications.

frontend: A simple frontend developed based on gRPC that receives and buffers requests.

proxy: Proxy code. Each container has a proxy. All proxies together build up the runtime and fault tolerance logics.

grpcclient: Contains client code.

dockerfiles: Contains dockerfiles to build up development dockers, proxy dockers, and frontend dockers.

Quick Start

Step 1: Run Development Docker

docker run -it --network=host -v [YOUR_CODE_PATH_TO_HAMS]:/hams -v /var/run/docker.sock:/var/run/docker.sock -v /tmp:/tmp [Py35_Development_Docker]

Step 2: Go to hams_admin dir

cd /hams/hams_admin

Step 3: Start DAG deployment

Test case 1: simple dag (No Prediction)

python simple_dag.py

Test case 2: predict stock price

python stock.py

Step 4: See the dockers/logs

docker container ls 
docker container [CONTAINER_ID]

Step 5: Stock DAG input / request

docker run -it --network hams_network zsxhku/grpcclient [IP_OF_THE_ENTRY_PROXY] 22223

You can see the /grpcclient/app/grpc_client.py and see the implementations and implement you own grpcclient docker

But remember you should run the grpcclient docker under hams_network

Step 5: Stop containers

python stop_all.py

Build your own application DAG and deployment