Autonomous driving services depends on active sensing from modules such as camera,
LiDAR, radar, and communication units. Traditionally, these modules process the sensed …

Workflow scheduling aims to optimize task allocation and execution in cloud–fog​
computing environments. Finding an optimal algorithm for workflow scheduling poses a …

Parallel application scheduling with deadline constraints is a crucial area in distributed
heterogeneous systems, and various methodologies have been proposed. However, these …

With the increasing complexity of application situations in multi-core processing systems,
how to assure task execution reliability has become a focus of scheduling algorithm …

In the current computing environment, the significance of distributed heterogeneous systems
has gained prominence. The research on scheduling problems in distributed systems that …

Heterogeneous multi-core processor has the ability to switch between different types of
cores to perform tasks, which provides more space and possibility for realizing efficient …

In order to realize rapid service‐oriented construction of resources and efficient supply‐
demand matching in avionics systems, an ontology‐based resource modeling and matching …

As a cutting-edge distributed intelligent system that seamlessly combines and collaborates
between the information world and the physical world, cyber-physical systems (CPSs) …

Heterogeneous multiprocessor systems are now widely used in industry by providing high
performance and high concurrency. However, with the increasing number of computational …

Breast cancer is the most common life-threatening cancer in women and one of the leading
causes of death. Early diagnosis is one of the best defenses against the spread of breast …