Working on characterizing virtual machines at datacenters on the basis of different types of workloads with a final goal of achieving near real-time prediction of resources for the various applications hosted on that datacenter
Can be downloaded from http://gwa.ewi.tudelft.nl/datasets/gwa-t-12-bitbrains.
- script1.py : finds the Pearson Correlation Coefficient(PCC) for each pair of workload parameters.
- script2.py : takes the timestamps as attributes and makes clusters for all the virtual machines for each of the original workload parameters.