The consumer market is continuously pushing for smarter, faster, more durable and cheaper products with ever more complex and sophisticated functionality. Other fields such as safety–critical and dependable applications are not unaware of these requirements, and even impose others (e.g. certification). In the current multi-core era, industry and research entities are facing the important challe...

In this article, we propose an original method for providing fault tolerance in multi-agent systems through replication. Our method focuses on building an automatic, adaptive and predictive replication policy to solve the resource allocation problem of determining where agents must be replicated to minimize the impact of failures. This policy is determined by taking into account the criticality...

The MC (mixed-criticality on multicore) framework has been proposed and implemented in LITMUS, a realtime extension to Linux. The implemented MC framework has been used in several research efforts pertaining to multiprocessor real-time systems. This paper describes the current status of work on MC. There are currently two MC branches. We describe the features of each branch and report on curren...

Electronic Control Units (ECUs) are the fundamental electronic building blocks of any automotive system. They are multipurpose, multi-chip and multicore computer systems where more functionality is delivered in software rather than hardware. ECUs are valuable assets for the vehicles as critical time bounded messages are communicated through. Looking into the safety criticality, already develope...

The phenomenon of aggregation and dilation(A&D) widely exists in nature. The mechanism behind it is regarded as the effect of some kind of attraction and repulsion(A&R). A&R control becomes a popular and promising way of controlling the structure and distribution of a group composed of several and even numerous individuals. This paper presents the concepts of aggregation, dilation and group evo...

In this paper, we show our current work on our Non Self Organizing Multi Agent System (NonSOMAS) and Self Organizing Multi Agent System (SOMAS). Through experiments and analysis, we investigate how Self-Organized Criticality (SOC) phenomena arise in SOMAS rather than in NonSOMAS. Furthermore, we compare the order of agent performance in the two systems and explain its implications.

With the accelerating pervasiveness of multi-core platforms in the embedded domains and the on-going need for more computational power and increased integration, multi-core scheduling for real-time and mixed-critical applications is an active research topic. In this paper, we give an overview on the history and the current state-of-the-art on multi-core realtime scheduling. A special focus is p...

Bioprocesses are especially difficult to model due to their complexity and the lack of knowledge available to fully describe a microorganism and its behavior. Furthermore, controlling such complex systems means to deal with their non-linearity and their time-varying aspects. A generic approach,relying on the use of an Adaptive Multi-Agent System (AMAS) is proposed to overcome these difficulties...

The possibility of failure is a fundamental characteristic of distributed applications. The research community in fault tolerance has developed several solutions mainly based on the concept of replication. In this paper, we propose a fault tolerant hybrid approach in multi-agent systems. We have based our strategy on two main concepts: replication and teamwork. Through this work, we have to cal...

The self-organized Monte Carlo simulations of 2D Ising ferromagnet on the square lattice are performed. The essence of devised simulation method is the artificial dynamics consisting of the singlespin-flip algorithm of Metropolis supplemented by the random walk in the temperature space. The walk is biased to the critical region through the feedback equation utilizing the memory-based filtering ...