The development of mixed-criticality systems that integrate applications of different criticality levels (safety, security, real-time and non real-time) can provide multiple benefits such as product cost-size-weight reduction, reliability increase and scalability. However, the integration of applications of different levels of criticality leads to several challenges with respect to safety certi...

Distributed cooperative applications are now increasingly being designed as a set of autonomous entities, named agents, which interact and coordinate (thus named a multi-agent system). Such applications are often very dynamic: new agents can join or leave, they can change roles, strategies, etc. This high dynamicity creates new challenges to the traditional approaches of fault-tolerance. In thi...

This paper introduces a multi-rate hidden Markov model (multi-rate HMM) for multi-scale stochastic modeling of non-stationary processes. The multi-rate HMM decomposes the process variability into scale-based components, and characterizes both the intra-scale temporal evolution of the process and the inter-scale interactions. Scales are organized in a hierarchical manner from coarser scales to f...

In this work, we address the problem of coordinating the distributed execution of plans and schedules by multiple agents subject to a number of different execution uncertainties. The coordination of multi-agent teams in uncertain, dynamic domains is a challenging problem requiring the fusion of techniques from many disciplines. We describe an approach based on the dynamic and selective use of a...

Modern embedded applications already integrate a multitude of functionalities with potentially different criticality levels into a single system and this trend is expected to grow in the near future. Without appropriate preconditions, the integration of mixed-criticality subsystems can lead to a significant and potentially unacceptable increase of engineering and certification costs. There are ...

In a mixed-criticality system, applications with different safety criticality levels are usually required to be implemented upon one platform for several reasons( reducing hardware cost, space, power consumption). Partitioning technology is used to enable the integration of mixedcriticality applications with reduced certification cost. In the partitioning architecture of strong spatial and temp...

In this paper, we consider fluid scheduling of mixedcriticality implicit-deadline sporadic task systems. Fluid scheduling allows tasks to be allocated fractional processing capacity, which, although hard to implement, significantly improves the schedulability performance. For dual-criticality systems, dualrate fluid scheduling in which each task is assigned two execution rates depending on the ...

— In Probabilistic Risk Management, risk is characterized by two quantities: the magnitude (or severity) of the adverse consequences that can potentially result from the given activity or action, and by the likelihood of occurrence of the given adverse consequences. But a risk seldom exists in isolation: chain of consequences must be examined, as the outcome of one risk can increase the likelih...

Performance results are presented for a multi-threaded version of the OpenMC Monte Carlo neutronics code using OpenMP in the context of nuclear reactor criticality calculations. Our main interest is production computing, and thus we limit our approach to threading strategies that both require reasonable levels of development effort and preserve the code features necessary for robust application...