Bounding the end-to-end latency of processing chains in distributed real-time systems is a
wellstudied problem, relevant in multiple industrial fields, such as automotive systems and …

Multicore platforms are predicted to become significantly larger in the coming years. Given
that real-time workloads will inevitably be deployed on such platforms, the scalability of the …

The design of real-time systems is being impacted by two trends. First, tightly-coupled
multiprocessor platforms are becoming quite common. This is evidenced by the availability …

Many real-time software systems, such as those commonly found in the context of
multimedia, cloud computing, robotics, and real-time databases, are characterized by a …

Recent work showed that semi-partitioned scheduling can achieve near-optimal
schedulability performance, is simpler to implement compared to global scheduling, and …

In this paper, we develop an adaptive scheduling framework for changing the processor
shares of tasks-a process called reweighting-on real-time multiprocessor platforms. Our …

Real-time dynamic workload consists of tasks that can arbitrarily join and leave the system at
run-time. To avoid incurring deadline misses, tasks that request to join the system must pass …

We consider schemes for enacting task share changes—a process called reweighting—on
real-time multiprocessor platforms. Our particular focus is reweighting schemes that are …

We consider the problem of task reweighting in fair-scheduled multiprocessor systems
wherein each task's processor share is specified as a weight. Task reweighting can be used …

Recent years have witnessed the design and development of several smart devices that are
wireless and battery-less. These devices exploit RFID backscattering-based computation …