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The process of calculating similarities between different time series of a dataset -- i.e. a distance matrix -- is often very time-consuming, but can be sped-up significantly using distributed programming. This paper presents a distributed system for calculating the distance matrix that utilizes the agent technology. Software agents are employed to deal with dynamic properties of the computational network, such as sudden unavailability of a number of computers, as well as for load-balancing and task-sharing.