Classical criticality describes sudden changes in the state of a system when underlying processes change slightly. At this transition, patchiness develops which lacks a characteristic or dominant spatial scale. Thus, criticality lies at the interface of two important subjects in ecology, threshold behavior and patchiness. Most ecological examples of criticality involve processes of disturbance ...

Whereas the relationship between criticality of gene regulatory networks (GRNs) and dynamics of GRNs at a single cell level has been vigorously studied, the relationship between the criticality of GRNs and properties of multicellular organisms at a higher level has not been fully explored. Here we aim at revealing potential roles of the criticality of GRNs at a multicellular and a hierarchical ...

In real-time industrial networks, providing timing guarantees for applications of different criticalities often results in building separate physical infrastructures for each type of network at the price of cost, weight and energy consumption. Mixed-Criticality (MC) is a solution first introduced in embedded systems to execute applications of different criticality on the same platform. In order...

4 This paper discusses the sensitivity of the horizontal and vertical scales of extratropical 5 eddies when criticality is varied in a dry, primitive equation, general circulation model. 6 Criticality is a measure of extratropical isentropic slope and when defined appropriately 7 its value is often close to one for Earth’s climate. The model is forced by a Newtonian 8 relaxation of temperature ...

The topology of a sensor network changes very frequently due to node failures because of power constraints or physical destruction. Robustness to topology changes is one of the important design factors of wireless sensor networks which makes them suitable to military, communications, health and surveillance applications. Network criticality is a measure which capture the properties of network r...

Research on mixed criticality real-time scheduling has centered on an event-triggered (ET)/ priority-driven approach to scheduling. Regarding the time-triggered (TT) approach, which seems to have greater acceptability with certification authorities for safety critical domains, only first results have been presented, showing proof-of-concept of TT mixed criticality scheduling algorithms and comp...

Designing mixed criticality real-time systems raises numerous challenges. In particular, reducing their energy consumption while enforcing their schedulability is yet an open research topic. To address this issue, our approach exploits the ability of tasks with low-criticality levels to cope with deadline misses. On multiprocessor systems, our scheduling algorithm handles tasks with high-critic...

There are indications that for optimizing neural computation, neu-ral networks-including the brain-operate at criticality. Previous approaches have, however, used diverse fingerprints of criticality, leaving open the question whether they refer to a unique critical point or whether there could be several. Using a recurrent spiking neural network as the model, we demonstrate that avalanche criti...

This paper considers a novel implementation scheme for fixed priority (FP) uniprocessor scheduling of mixed criticality systems. The scheme requires that jobs have their execution times monitored. If system behavior inconsistent with lower criticality levels is detected during run-time via such monitoring, (i) tasks of lower criticalities are discarded (this is already done by current FP mixed-...