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**Task 1:** Go to your Cloud provider and create a VM of the aforementioned configuration.  
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**Task 2:** As the Workload-API needs to publicly expose port `8181`, add a security group rule to the VM for port `8181` that allows in-going traffic.   
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**Task 3:** Assign public IP to the VM. We denote this IP in the following as *WORKLOAD_API_IP*.   
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**Task 4:** Log into the VM, and install Docker and Docker-Compose.  
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**Task 4:** Log into the VM, and install Docker   
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**Task 4a:** Docker can be installed as described in: https://docs.docker.com/install/linux/docker-ce/ubuntu/.  
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**Task 4b:** Docker can be installed as described in: https://docs.docker.com/compose/install/.  
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Before starting the Workload-API the Mowgli framework needs to be installed. 
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#### Start Workload-API 
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Now, as we have the Mowgli Framework setup and running, we can start the Workload-API.
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**Task 1:** Log into the host, where the Workload-API is installed.  
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**Task 2:** Set the publicly available IP of the current workload-API  host in the environment variable ```PUBLIC_IP```, e.g. by ```export PUBLIC_IP=x.x.x.x```.  
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**Task 3:** Set the IP of the host, where the Mowgli framework is installed in the environment variable ```INFLUXDB_URL```, e.g. by ```export INFLUX_DB=x.x.x.x```.  
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**Task 3:** Set the IP and port of the InfluxDB where the Mowgli framework is installed as the environment variable ```INFLUXDB_URL```, e.g. by ```export INFLUX_DB=x.x.x.x```.  
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**Task 4:** Now run the Workload-API (provided as Docker container) with the following command ```docker run -d -p 8181:8181 -e PUBLIC_IP=X.X.X.X -e INFLUXDB_URL=X.X.X.X:8086 -v /tmp:/opt/results -v /tmp:/var/log omi-registry.e-technik.uni-ulm.de/mowgli/workload-api:latest` | 
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**Task 4:** Now run the Workload-API (provided as Docker container) with the following command ```docker run -d -p 8181:8181 -e PUBLIC_IP=X.X.X.X -e INFLUXDB_URL=X.X.X.X:8086 -v /tmp:/opt/results -v /tmp:/var/log omi-registry.e-technik.uni-ulm.de/mowgli/workload-api:latest``` | 
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