Abstract: First and second Tchebychev polynomial curves are generated and pass through first and second data points representing previous failures of a first and second computer system of a computer network, respectively. The coordinates of each first and second data point denote a time of occurrence of the failure of the first and second computer system and a severity of the failure of the first and second computer system, respectively. A third Tchebychev polynomial curve passing through the peaks of the first and second Tchebychev polynomial curves is generated. A highest peak of the third Tchebychev polynomial curve is identified and determined to be a high risk failure that occurred on the first or second computer system and generates significant risk to the computer network, causing other computers to add redundancy to minimize the significant risk to the computer network from a future occurrence of the high risk failure.

Abstract: First and second Tchebychev polynomial curves are generated and pass through first and second data points representing previous failures of a first and second computer system of a computer network, respectively. The coordinates of each first and second data point denote a time of occurrence of the failure of the first and second computer system and a severity of the failure of the first and second computer system, respectively. A third Tchebychev polynomial curve passing through the peaks of the first and second Tchebychev polynomial curves is generated. A highest peak of the third Tchebychev polynomial curve is identified and determined to be a high risk failure that occurred on the first or second computer system and generates significant risk to the computer network, causing other computers to add redundancy to minimize the significant risk to the computer network from a future occurrence of the high risk failure.

Abstract: Method, system and computer program for estimating risk of a future disaster of an infrastructure. Times of previous, respective disasters of the infrastructure are identified. Respective severities of the previous disasters are determined. Risk of a future disaster of the infrastructure is estimated by determining a relationship between the previous disasters, their respective severities and their respective times of occurrence. The risk can be estimated by generating a polynomial linking severity and time of occurrence of each of the previous disasters. The polynomial can be generated by approximating a Tchebychev polynomial.

Abstract: Method, system and computer program for estimating risk of a future disaster of an infrastructure. Times of previous, respective disasters of the infrastructure are identified. Respective severities of the previous disasters are determined. Risk of a future disaster of the infrastructure is estimated by determining a relationship between the previous disasters, their respective severities and their respective times of occurrence. The risk can be estimated by generating a polynomial linking severity and time of occurrence of each of the previous disasters. The polynomial can be generated by approximating a Tchebychev polynomial.