How big is too big? Trading off the economies of scale of larger telecommunications network elements against the risk of larger outages
This paper builds a probabilistic model to analyze the riskreward tradeoffs that larger telecommunications network elements present. Larger machines offer rewards in the form of cost savings due to economies of scale. But large machines are riskier because they affect more customers when they fail. Our model translates the risk of outages into dollar costs, which are random variables. This step enables us to combine the deployment cost and outage cost into a total cost. Once we express the decision makers preferences via a utility function, we can find the machine size that minimizes the total costs expected utility, thereby achieving an optimal tradeoff between reward and risk. The expected utility answers the question how big is too big?.
telecommunications uncertainty modeling risk analysis reliability