312-practical-efficient-microservice-autoscaling-with-qos-assurance

https://github.com/szu-advtech-2024/312-practical-efficient-microservice-autoscaling-with-qos-assurance

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Owner: SZU-AdvTech-2024
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Citation

https://github.com/SZU-AdvTech-2024/312-Practical-Efficient-Microservice-Autoscaling-with-QoS-Assurance/blob/main/

# Resource Manager for Kubernetes

PEMA is a resource manager on top of kubernetes that optimizes resources of microservice applications. 
The resource manager works on on-prem kubernetes cluster. Support for managed kubernetes cluster (AWS EKS, GCP) will be added soon.

### Installing a Kubernetes cluster
Follow instruction at [kubernetes-setup.md](kubernetes-setup.MD)

### Deploy metrics and observability
The prometheus and grafana configuration files are in [here](metric_deployments/prometheus_deployment)

The observability will be installed in `kube-system` namespace

In the master node,
```bash
kubectl apply -f metric_deployments/prometheus_deployment
kubectl get pods -n kube-system 
```

### Deploy application 
```bash
kubectl apply -f workload_module/sock_shop/deployment/k8s_deployment -n sock-shop
kubectl get pods -n sock-shop
```

### Start the resource manager 
Run workload_module/sock_shop/main_agent.py
Run algorithm/main_algorithm.py

Owner

Name: SZU-AdvTech-2024
Login: SZU-AdvTech-2024
Kind: organization

Repositories: 1
Profile: https://github.com/SZU-AdvTech-2024

Citation (citation.txt)

@inproceedings{REPO312,
    author = "Hossen, Md Rajib and Islam, Mohammad A. and Ahmed, Kishwar",
    booktitle = "Proceedings of the 31st International Symposium on High-Performance Parallel and Distributed Computing",
    numpages = "13",
    pages = "240–252",
    title = "{Practical Efficient Microservice Autoscaling with QoS Assurance}",
    year = "2022"
}

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