Model-based Performance Analysis under Uncertainty

Performance analysis is often conducted before achieving full knowledge of a software system, in other words under a certain degree of uncertainty. Uncertainty is particularly critical in the performance domain when it relates to values of parameters such as workload, operational profile,resource demand of services, service time of hardware devices, etc. This seminar explains how to to explicitly consider uncertainty in the performance modelling and analysis process.