Safety is the most important requirement for autonomous vehicles; hence, the ultimate
challenge of designing an edge computing ecosystem for autonomous vehicles is to deliver …

Edge computing is an emerging paradigm for the increasing computing and networking
demands from end devices to smart things. Edge computing allows the computation to be …

Latency-critical applications suffer from both average performance degradation and reduced
completion time predictability when collocated with batch tasks. Such variation forces the …

Real-time dense computer vision and SLAM offer great potential for a new level of scene
modelling, tracking and real environmental interaction for many types of robot, but their high …

Although transistor density continues to increase, voltage scaling has stalled and thus power
density is increasing each technology generation. Particularly in mobile devices, which have …

In past few years, advancement in mobile applications and their integration with Cloud
computing services has introduced a new computing paradigm known as Mobile Cloud …

Novel pervasive devices such as smart surveillance cameras and autonomous micro-UAVs
could greatly benefit from the availability of a computing device supporting embedded …

Connected and autonomous vehicles (CAVs) have recently attracted a significant amount of
attention both from researchers and industry. Numerous studies targeting algorithms …

These days, many traditional end-user applications are said to “run fast enough” on existing
machines, so the search continues for novel applications that can leverage the new …

Mobile devices such as smartphones and tablets have become the primary consumer
computing devices, and their rate of adoption continues to grow. The applications that run on …