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First archived on: 2015-05-29

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Title: The Möbius Tool :: Home

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... stochastic process algebras Models are constructed with the right level of detail and customized to the specific behavior of the system of interest Hierarchical modeling paradigm Build models from the ground up First specify the behavior of individual components and then combine the components to create a model of the complete system It is easy to combine components in multiple ways to examine alternative system designs Customized measures of system properties Construct detailed expressions that measure the exact information desired about the system e g reliability availability performance and security Measurements can be conducted at specific time points over periods of time or when the system reaches steady state Study the behavior of the system under a variety of operating conditions Functionality of the system can be defined as model input parameters and then the behavior of the system can be automatically studied across wide ranges of input parameter values to determine safe operating ranges to determine important system constraints and to study system behaviors that could be difficult to measure experimentally with prototypes Distributed discrete event simulation Evaluates the custom measures using efficient simulation algorithms to repeatedly execute the system either on the local machine or in a distributed fashion across a cluster of machines and gather statistical results of the measures Numerical solution techniques Exact solutions can be calculated for many classes of models and advances in state space computation and generation techniques make it possible to solve models with tens of millions of states Previously such models could be solved only by simulation The Möbius Approach The Möbius tool was built based on the belief that no one modeling formalism can be the best way to build all models of systems from across the diverse spectrum of application domains In addition to the fact that many domain...

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