Incident and Failure Quantification Methodology in a Critical Infrastruture

The need for resilient infrastructures and the constant technological advances, which lead to new equipment and solutions that become indispensable in the daily life of human beings, creates the necessity to ensure normal functioning of any infrastructure after an adverse phenomenon so that these systems we depend on are not compromised. This problem applies to infrastructures that provide essential services on a day-to-day basis to the society, such as in this specific case study, a Data Center. In these cases, proper functioning is essential in times of crisis so that technology companies that provide services to other companies, entities or average users are not affected.Following this problem arises the theme of this paper. A methodology is then proposed to quantify and evaluate the impact that an equipment's failure had on a given infrastructure, taking into consideration its importance and the time taken to resolve it. To obtain a quantitative value, a metric that considers the technical characteristics of the analyzed infrastructure will be used. In the carried-out tests, it was concluded that the system provided values that allowed to order the events, that occurred over a year, according to their real impact. The sample of events to be used will correspond to the number of days between the events that have occurred (or incidents) over the course of a year. This proposed methodology is applicable only when the set of incidents follows a Poisson distribution.