“…As this is a random variable with a high variability, the performance metrics, i.e., cost and quality of service, should be assessed using its density function. In these conditions, the adoption of the usual Markovian hypothesis (e.g., in Zakarian (1997) or Brehm (1996)), may introduce very significant errors in the calculations and, consequently, lead to wrong design decisions (for a detailed discussion on this topic, see Nunes (2002) or Faria (2001)). …”