High-performance computing (HPC), according to its name, is traditionally oriented toward
performance, especially the execution time and scalability of the computations. However …

Tolerating hardware faults in modern architectures is becoming a prominent problem due to
the miniaturization of the hardware components, their increasing complexity, and the …

High energy consumption (EC) is one of the leading and interesting issue in the cloud
environment. The optimization of EC is generally related to scheduling problem. Optimum …

With the growth of computation-intensive real-time applications on multi-core embedded
systems, energy-efficient real-time scheduling becomes crucial. Multi-core processors …

Energy-efficiency is a critical requirement for computation-intensive real-time applications on
multi-core embedded systems. Multi-core processors enable intra-task parallelism, and in …

In this paper, we extend the imprecise mixed-criticality (IMC) model to precise scheduling of
tasks. We also integrate the IMC model with the dynamic voltage and frequency scaling …

The emergence of battery-powered devices has led to an increase of interest in the energy
consumption of computing devices. For embedded systems, dispatching the workload on …

The strict requirements on the timing correctness biased the modeling and analysis of real-
time systems toward the worst-case performances. Such focus on the worst-case, however …

Many modern Cyber Physical Systems (CPSs) are composed of multiple independent
periodically executing real-time control tasks having inter-dependent component sub-tasks …

Small devices are frequently used in IoT and smart-city applications to perform periodic
dedicated tasks with soft deadlines. This work focuses on develo** methods to derive …