Vehicular service providers bear a heavy burden of scalability and service load balancing
problems in traditional edge computing systems. By abstracting the service computing …

Vehicular Edge Computing (VEC) brings the computational resources in close proximity to
the service requestors and thus supports explosive computing demands from smart vehicles …

In recent years, data-driven intelligent transportation systems (ITS) have developed rapidly
and brought various AI-assisted applications to improve traffic efficiency. However, these …

The advancement of cyber physical information has led to the pervasive use of smart
vehicles while enabling various types of powerful mobile applications, which usually require …

Lightweight and layered structure containers in serverless edge computing (SEC) provide
flexible service configurations and computing for vehicles with diverse service requests in …

With the skyrocketing need for low-latency services on the Internet of Vehicles (IoV) and
elastic cross-layer resource provisioning, multi-access edge computing (MEC) is considered …

Recently, the rapid advance of vehicular networks has led to the emergence of diverse delay-
sensitive vehicular applications such as automatic driving, auto navigation. Note that …

Vehicular Edge Computing (VEC), as one of the major components of Intelligent
Transportation Systems, improves road safety by providing computing services to safety …

With the emergence of computation-intensive vehicular applications, vehicular edge
computing (VEC) offers a new paradigm to augment the capabilities of vehicles. In this …

The emergence of computation intensive and delay sensitive on-vehicle applications makes
it quite a challenge for vehicles to be able to provide the required level of computation …