Towards a Logic for Performance and Mobility

TL;DR: Three models of coordination-Reo, Actors-Roles-Coordinators (ARC), and Reflective Russian Dolls (RRD)-are compared and contrasted according to a set of coordination features.

TL;DR: This article presents a novel automated technique for metric estimation that combines simulation, invariant inference, and probabilistic model checking, and reports on experiments that suggest that metric estimation using this technique can be more effective than (full-model) Probabilistic and statistical model checking.

TL;DR: An integration of PLinda, a probabilistic extension of Linda, and StoKlaim, a stochastic extension of KLAIM is presented, a natural development and integration of previous results of the SENSORIA Project in the area of Probabilistic and time-stochastic extensions of Tuple Space based coordination languages.

TL;DR: In this paper, an extension probabilistica al formalism of Interface Automata is presented, in which the probabilidades of eventos independientes are compared with estimaciones obtenidas of the observación del comportamiento a modelar.

TL;DR: In this paper, the authors define a discrete-time Markov chain to describe the dynamics of a stochastic process, and investigate the effect of different types of discontinuities.

TL;DR: This work investigates the issue of designing a kernel programming language for mobile computing and describes KLAIM, a language that supports a programming paradigm where processes, like data, can be moved from one computing environment to another.

TL;DR: In this article, a model checking algorithm for continuous-time Markov chains for an extension of the continuous stochastic logic CSL of Aziz et al. is presented, which contains a time-bounded until operator and a novel operator to express steady-state probabilities.