Fog computing, as a distributed paradigm, offers cloud-like services at the edge of the
network with low latency and high-access bandwidth to support a diverse range of IoT …

In existing computing systems, such as edge computing and cloud computing, several
emerging applications and practical scenarios are mostly unavailable or only partially …

The rapid development of Internet of Things (IoT)-based applications and the era of 5G
networks has led to an exponential increase in the amount of data required for processing …

With the growing demand for openness, scalability, and granularity, mobile network function
virtualization (NFV) has emerged as a key enabler for the most of mobile network operators …

With the increasing stringent QoS constraints (eg, latency, bandwidth, jitter) imposed by
novel applications (eg, e-Health, autonomous vehicles, smart cities, etc.), as well as the …

With the development of telecommunication technologies and the proliferation of network
applications in the past decades, the traditional cloud network architecture becomes unable …

With the development of serverless computing, developers can implement and deploy
business applications as a combination of stateless functions. Although originally proposed …

The fog-computing paradigm complements cloud computing to support the deployment and
execution of latency-sensitive applications at the network edge by offering enhanced …

Abstract Multi-Access Edge Computing (MEC) is known as a promising communication
paradigm that enables IoT and 5G scenarios by using edge servers located in the proximity …

Coordination among vehicular actors becomes increasingly important at the dawn of
autonomous driving. With communication serving as the basis for this process, latency …