Update and rename Readme.md to README.md

renaissance/Readme.md → renaissance/README.md

@@ -1,28 +1,29 @@
 This directory contains the scripts required to run and get the results of the Renaissance Benchmark taking Prometheus metrics.
+# About The Benchmark
+The Renaissance Benchmark Suite aggregates common modern JVM workloads, including, but not limited to, Big Data, machine-learning, and functional programming. The suite is intended to be used to optimize just-in-time compilers, interpreters, GCs, and for tools such as profilers, debuggers, or static analyzers, and even different hardware. It is intended to be an open-source, collaborative project, in which the community can propose and improve benchmark workloads.
+
+More information about this benchmark can be found on [Renaissance](https://github.com/renaissance-benchmarks/renaissance)
 # Prerequisites
 To generate the results from the Renaissance Benchmark,we need to:  
 
- Firstly,install a kubernetes cluster(here minikube) and prometheus which can be done from the [Autotune Installation](https://github.com/kruize/autotune/blob/master/docs/autotune_install.md). 
-
- Secondly we need to clone the scripts required for running the renaissance benchmark which can be done from [Benchmarks](https://github.com/Prakalp23/benchmarks/tree/renaissance) repository.This contains a number of performance scripts that we have built for the Renaissance benchmark to collect the data from the Prometheus metrics and parse the results.
+ -Firstly,install a kubernetes cluster(here minikube),which can be done from [Minikube](https://minikube.sigs.k8s.io/docs/start/) or for a more convinient process can be installed from the Kruize Autotune repo.  [Autotune Installation](https://github.com/kruize/autotune/blob/master/docs/autotune_install.md). 
+
+-Secondly,we need to install prometheus on minikube.This can be done through the Autotune repo itself(refer the installation process) [Autotune Installation](https://github.com/kruize/autotune/blob/master/docs/autotune_install.md). 
+
+ -Then, we need to clone the scripts required for running the renaissance benchmark which can be done from [Benchmarks](https://github.com/Prakalp23/benchmarks/tree/renaissance) repository.This contains a number of performance scripts that we have built for the Renaissance benchmark to collect the data from the Prometheus metrics and parse the results.
  Then,clone this repo for a reference to results and for getting the Python scripts to determine the accuracy of various ML algorithms on the dataset collected
 
  `git clone https://github.com/Prakalp23/autotune-results.git`
 
- You,also need to pull the docker image of renaissance onto your local system
+ You,also need to install a driver of your choice for running  renaissance onto your local system
 
- # How To Run This Benchmark
  Download a driver (docker or podman)
 
  [Docker](https://docs.docker.com/engine/install/)
 
  [Podman](https://podman.io/getting-started/installation)
 
- Use the installed driver to pull the Renaissance docker image
-
- `podman pull prakalp23/renaissance1041:latest`
-
- `docker pull prakalp23/renaissance1041:latest`
+ # How To Run This Benchmark
 
  To run the benchmark on kubernetes cluster to collect performance metrics