Efficient resource usage in edge computing requires clever allocation of the workload of
application components. In this paper, we show that under certain circumstances, the …

Efficient service placement and workload allocation methods are necessary enablers for the
actively studied topic of edge computing. In this paper, we show that under certain …

Computational offloading services at the edge of the Internet for mobile devices are
becoming a reality. Using a wide range of mobile applications, we explore how such …

Multi-Access Edge Computing (MEC) is increasingly growing in prominence as the de facto
enabler for ultra-low latency access to services. MEC averts the high network latencies often …

Edge computing is promoted to meet increasing performance needs of data‐driven services
using computational and storage resources close to the end devices at the edge of the …

Edge computing has become a very popular service that enables mobile devices to run
complex tasks with the help of network-based computing resources. However, edge clouds …

Mobile edge computing (MEC) is a new distributed computing paradigm where edge servers
are deployed at, or near cellular base stations in close proximity to end-users. This offers …

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 …

Edge Computing (EC) consists in deploying computational resources, eg, memory, CPUs, at
the Edge of the network, eg, base stations, access points, and run there a part of the …

Mobile-edge computing has been widely used in the Internet of Things (IoT) field. In mobile-
edge computing, users' tasks can be executed on local devices or offloaded to edge servers …