Performance models are of increasing interest to professionals who do not have a background in mathematical analysis, it is important to provide additional mechanisms by developer...
Nigel Thomas, Malcolm Munro, Peter J. B. King, Rob...
— Partially Observable Markov Decision Processes (POMDPs) provide a rich mathematical model to handle realworld sequential decision processes but require a known model to be solv...
Forecasting is of prime importance for accuracy in decision making. For data sets containing high autocorrelations, failure to account for temporal dependence will result in poor ...
Abstract. The foundation of a process model lies in its control flow specifications. Using a generic process modeling language for workflows, we show how a control flow specificati...
This paper develops a formal model of process migration that describes programs, processes, and the migration of those processes within a migration realm. A migration realm is a g...
Aric D. Blumer, Henning S. Mortveit, Cameron D. Pa...