The present and next-generation networks of service offloading present exciting issues. The
traditional network optimisation techniques still require rigorous heuristic tuning to obtain a …

Abstract Service offloading poses interesting challenges in current and next‐generation
networks. The classical network optimization algorithms are still painstakingly tune heuristics …

To solve the problem of limited computing ability in mobile devices, edge computing is
adopted as a feasible solution which provides services for IoT devices in different …

With the growth of the Internet of Things, smart devices are subsequently generating a large
number of computation-intensive and latency-sensitive tasks. Mobile edge computing can …

With the advent of the Internet of Things (IoT) and 5G networks, edge computing is offering
new opportunities for business model and use cases innovations. Service providers can …

Mobile Edge Computing (MEC) migrates the computing center to the network edge to
provide computing services for Mobile Users (MUs). However, due to the limited capacity of …

Mobile edge computing (MEC) is an important and effective platform to offload the
computational services of modern mobile applications, and has gained tremendous …

By pushing computing functionalities to network edges, backhaul network bandwidth is
saved and various latency requirements are met, providing support for diverse computation …

Collaborative edge computing (CEC) has emerged as a promising paradigm, enabling edge
nodes to collaborate and execute microservices from end devices. Microservice offloading, a …

In this paper, we study service function chain (SFC) offloading in the edge-cloud network.
Two offloading options are available for fully-loaded edge nodes: edge to edge (E2E) …