In virtualized cloud computing systems, energy reduction is a serious concern since it can
offer many major advantages, such as reducing running costs, increasing system efficiency …

Heterogeneous multiprocessor platform has been widely adopted as an effective approach
to providing strong calculation capability while keeping complexity and energy consumption …

High energy consumption is one of the biggest obstacles to the rapid development of
computing systems, and reducing energy consumption is quite urgent and necessary for …

In parallel computing, the scheduling of the tasks of an application onto the processors of the
parallel system is crucial. A task schedule determines both the allocation of tasks to the …

In recent years, there has been a great increase in usage of cloud data centers which leads
the energy consumption growth by about 10% a year continuously. Further, due to the …

Nowadays, heterogeneous computing systems have proven to be a good solution for
processing computation intensive high-performance applications. The main challenges for …

This paper evaluates the combination of a Directed Acyclic Graph (DAG) task splitting
technique already proposed in the literature and the state-of-the-art, energy-aware version …

The rapid growth in demand for cloud services has led to the creation of large‐scale data
centers, which allows application service providers to lease data center capacity for …

Field-programmable gate array (FPGA)-based sensor nodes are popular for their flexible
design approach and field reconfigurability. RISC32 is one of the recent Internet of Things …

With the development of Industrial Internet of Things (IIoT), the computation intensive tasks
with restrict delay constraints generated at network edge emerge as the main challenge to …