The Multi-access Edge Computing (MEC) enables a new layer of edge middleboxes, acting
as local proxies with virtualized resources deployed at edge localities. To support scalable …

Multi-Access Edge Computing (MEC) is one of the fundamental technologies committed to
satisfy the requirements targeted by 5G and beyond networks, such as low latency and …

Edge computing reduces connectivity costs and network traffic congestion over cloud
computing, by offering local resources (processing and storage) at one hop closer to the end …

Current edge computing frameworks require tight coupling between mobile clients and
surrogates, ie, the offloaded code has been preconfigured with its required execution …

With the proliferation of mobile and Internet of Things (IoT) devices, there has been an
unprecedented growth of data consumption and computation requests at the network edge …

Due to the proliferation of Internet of Things (IoT) and application/user demands that
challenge communication and computation, edge computing has emerged as the paradigm …

Multi-access edge computing (MEC) enables the deployment of computation,
communication, and storage resources at the network edge, in the proximity where they are …

Rich mobile applications based on new technologies, such as deep neural network, rapidly
increase computational demands in the mobile environment. A solution to run the …

Edge computing brings computing and storage resources to the edge of the network,
enabling cloud computing capabilities and an IT service environment with low latency …

Computational offloading is a strategy by which mobile device (MD) users can access the
superior processing power of a Multi-Access Edge Computing (MEC) server network. This …