The relentless technology scaling has provided a significant increase in processor
performance, but on the other hand, it has led to adverse impacts on system reliability. In …

The emergence of ML in various cloud system management tasks (eg, workload autoscaling
and job scheduling) has become a core driver of ML-centric cloud platforms. However, there …

Multicore platforms are becoming the dominant trend in designing Mixed-Criticality Systems
(MCSs), which integrate applications of different levels of criticality into the same platform. A …

Due to limited resources on edge and different characteristics of deep neural network (DNN)
models, it is a big challenge to optimize DNN inference performance in terms of energy …

Low power consumption, real-time computing, and high reliability are three key
requirements/design objectives of real-time embedded systems. The standby-sparing …

In addition to meeting the real-time constraint, power/energy efficiency and high reliability
are two vital objectives for real-time embedded systems. Recently, heterogeneous multicore …

With the rapid development of the digital economy and intelligent industry, the energy
consumption of data centers (DCs) has increased significantly. Various optimization …

With the increasing number of users and application in the era of the Industrial Internet of
Things (I-IoT), computing efficiency and energy consumption become two vital problems …

Periodic soft real-time systems have broad applications in many areas, such as IoT. Finding
an optimal energy-efficient policy that is adaptable to underlying edge devices while …

In embedded systems, applications frequently have to meet non-functional requirements
regarding, eg, real-time or energy consumption constraints, when executing on a given …