Experimental Evaluation of OpenStack Compute Scheduler

In the Cloud Computing model, the computing resources are provided as a service in an on-demand and dynamic fashion. Efficient and flexible resource management is among the current research issues in the cloud computing context. We present in this paper a study focusing on the dynamic behavior of the scheduling functionality of an IaaS cloud built using OpenStack. Resorting to the principles of Design of Experiment (DOE), we use a screening design applied on a small-scale private Cloud in order to explore OpenStack Compute Scheduler. We present and discuss in this paper the main outcomes of an enhanced two-level fractional factorial balanced design and we outline our future work.