Evaluating the impact of maintenance policies associated to SLA contracts on the dependability of data centers electrical infrastructures

Due to the growth of cloud computing,  data center  environment has grown in importance and in use.  Data centers  are responsible for maintaining and processing several critical-value applications. Therefore,  data center  infrastructures must be evaluated in order to improve the high availability and reliability demanded for such environments. This work adopts Stochastic Petri Nets (SPN) to evaluate the impact of maintenance policies on the data center dependability. The main goal is to analyze maintenance policies, associated to  SLA  contracts, and to propose improvements. In order to accomplish this, an optimization strategy that uses Euclidean distance is adopted to indicate the most appropriate solution assuming conflicting requirements (e.g., cost and availability). To illustrate the applicability of the proposed models and approach, this work presents case studies comparing different  SLA  contracts and maintenance policies (preventive and corrective) applied on  data center  electrical infrastructures.