Multicore architectures have great potential for energy-constrained embedded systems,
such as energy-harvesting wireless sensor networks. Some embedded applications …

Heterogeneous (HE) multicore platforms, such as ARM big. LITTLE, are widely used to
execute embedded applications under multiple and contradictory constraints, such as …

As large-scale distributed systems gain momentum, the scheduling of workflow applications
with multiple requirements in such computing platforms has become a crucial area of …

Energy consumption has been a critical issue in high-performance computing systems, such
as clusters and data centers. An existing technique to reduce energy consumption of …

Dynamic Voltage and Frequency Scaling, and Adaptive Body Biasing are increasingly
adopted hardware techniques to improve energy efficiency of multi-core servers by adjusting …

In future Internet of Thing (IoT) networks, devices can be leveraged to compute tasks or
services. To this end, this article addresses a novel problem that requires devices to …

Asymmetric Multicore Processors (AMP) are a very promising architecture to deal efficiently
with the wide diversity of applications. In real-time application domains, in-time …

One of the major challenges in ultrascale systems is the effective scheduling of complex jobs
within strict timing constraints. The distributed and heterogeneous system resources …

For applications featuring adaptive workloads, the quality of their task execution can be
dynamically adjusted given the runtime constraints. When mapping them to heterogeneous …

Minimizing the booting time of an embedded system has become a major technical issue for
the success of many consumer electronics. In this paper, the booting time minimization …