Main repository for Master thesis on serverless.

• In functions directory there exist 4 versions of the same ML Workflow
• Each version consists of functions of different granularity
• Version1 is the most fine-grained, while Version4 is the most coarse-grained of the versions
• After deploying all the functions, by using the exec script we can run the desired instance on our local cluster as many times as we like in a sequential way of invocations

./exec.sh version1 url1 --times=10 yes yes --sleep=5s --step=15s

• We can scale each function's replicas up or down so as to make the versions capable of serving more or less requests per minute

kubectl scale deployment version1 -n openfaas-fn --replicas=2