Add Distributed Workload Generator

Closes #18 (closed), #16 (closed), #10 (closed), #28 (closed) .

execution/README.md

+# Requirements
+
+
+## Kubernetes Cluster
+
+For executing benchmarks, access to Kubernetes cluster is required. We suggest
+to create a dedicated namespace for executing our benchmarks. The following
+services need to be available as well.
+
+### Prometheus (+ Grafana)
+
+We suggest to use the Prometheus Operator and create a dedicated prometheus and
+grafana instance for these benchmarks.
+
+**TODO** Add required configuration, introduce service Monitors
+
+### A Kafka cluster
+
+One possible way to set up a Kafka cluster is via [Confluent's Helm Charts](https://github.com/confluentinc/cp-helm-charts).
+For using these Helm charts and conjuction with the Prometheus Operator (see
+below), we provide a [patch](https://github.com/SoerenHenning/cp-helm-charts)
+for these helm charts. Note that this patch is only required for observation and
+not for the actual benchmark execution and evaluation.
+
+**TODO** Add required configuration, installation
+
+### The Kafka Lag Exporter
+
+Lightbend's Kafka Lag Exporter can be installed via helm:
+
+``sh
+helm install kafka-lag-exporter https://github.com/lightbend/kafka-lag-exporter/releases/download/v0.6.0/kafka-lag-exporter-0.6.0.tgz
+``
+
+**TODO** Add configuration + ServiceMonitor
+
+
+## Python 3.7
+
+For executing benchmarks and analyzing their results, a Python 3.7 installation
+is required. We suggest to use a virtual environment placed in the `.venv` directory.
+
+**TODO** Show how to install requirements