Data crowdsourcing is one of most remarkable results of pervasive and internet connected
low-power devices making diverse and different “things” as a world wide distributed system …

Data from sensors incorporated into mobile devices, such as networked navigational
sensors, can be used to capture detailed environmental information. We describe here a …

Low‐power devices are usually highly constrained in terms of CPU computing power,
memory, and GPGPU resources for real‐time applications to run. In this paper, we describe …

With the increasing number of new containerized applications, such as high performance
and deep learning applications, started to reply on GPU, efficiently supporting GPU in …

This paper introduces gMig, an open-source and practical GPU live migration solution for full
virtualization. By taking advantage of the dirty pattern of GPU workloads, gMig presents the …

The use of hardware accelerators to increase the performance of parallel applications is
very common nowadays. For a number of reasons, however, the access to local accelerators …

Graphics processing units (GPUs) are widely used in high performance computing (HPC)
and cloud computing to accelerate workloads. Virtualization provides flexible access to …

Sensors incorporated into mobile devices provide unique opportunities to capture detailed
environmental information that cannot be readily collected in other ways. We show here how …

Fast technology development has influenced the widespread use of low‐power devices in
different scientific, environmental, and everyday life areas, giving birth to the Internet of …

In the last decade, GPGPU virtualization and remoting have been among the most important
research topics in the field of computer science and engineering due to the rising of cloud …