Decentralized Offloading Strategies Based on Reinforcement Learning for Multi-Access Edge Computing
Information, 2021 Using reinforcement learning technologies to learn offloading strategies for multi-access edge computing systems has been developed by researchers. However, large-scale systems are unsuitable for reinforcement learning, due to their huge state spaces and
Chunyang Hu +4 more
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Towards delay-aware container-based Service Function Chaining in Fog Computing [PDF]
, 2020 Recently, the fifth-generation mobile network (5G) is getting significant attention. Empowered by Network Function Virtualization (NFV), 5G networks aim to support diverse services coming from different business verticals (e.g.
De Turck, Filip +3 more
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Service Migration from Cloud to Multi-tier Fog Nodes for Multimedia Dissemination with QoE Support. [PDF]
, 2018 A wide range of multimedia services is expected to be offered for mobile users via various wireless access networks. Even the integration of Cloud Computing in such networks does not support an adequate Quality of Experience (QoE) in areas with high ...
Both, Cristiano +6 more
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ZONE-Based Multi-Access Edge Computing Scheme for User Device Mobility Management
Applied Sciences, 2019 Recently, new mobile applications and services have appeared thanks to the rapid development of mobile devices and mobile network technology. Cloud computing has played an important role over the past decades, providing powerful computing capabilities ...
Juyong Lee, Daeyoub Kim, Jihoon Lee
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Privacy-Enhanced AKMA for Multi-Access Edge Computing Mobility
Computers, 2022 Multi-access edge computing (MEC) is an emerging technology of 5G that brings cloud computing benefits closer to the user. The current specifications of MEC describe the connectivity of mobile users and the MEC host, but they have issues with application-
Gizem Akman +3 more
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Optimal association of mobile users to multi-access edge computing resources [PDF]
, 2018 Multi-access edge computing (MEC) plays a key role in fifth-generation (5G) networks in bringing cloud functionalities at the edge of the radio access network, in close proximity to mobile users.
Barbarossa, Sergio +2 more
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Performance Evaluation of Integrated Multi-Access Edge Computing and Fiber-Wireless Access Networks
IEEE Access, 2018 With the widespread use of smart mobile devices, the exponential growth of mobile Internet traffic and newly emerging services, such as Internet of Things, virtual reality/augmented reality, and serious games, the network performance requirements for ...
Jing Liu +4 more
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UAVs Traffic Control Based on Multi-Access Edge Computing [PDF]
2018 IEEE Global Communications Conference (GLOBECOM), 2018 Given the continuously increasing use of Unmanned Aerial Vehicles (UAVs) in different domains, their management in the uncontrolled airspace has become a necessity. This has given rise to new systems called UAVs Traffic Management (UTM) systems. Nevertheless, currently, there is a lack of communication infrastructures that can support the requirements ...
Taleb, Tarik +3 more
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Toward Slicing-Enabled Multi-Access Edge Computing in 5G
IEEE Network, 2020 Multi-access Edge Computing (MEC) and Network Slicing are two key enablers for 5G, particularly to empower low-latency services, known as Ultra-Reliable Low Latency Communications (URLLC). However, MEC and Network Slicing are evolving in parallel, and are being defined by two different standardization bodies, ETSI and 3GPP, which limits their ...
Ksentini, Adlen, Frangoudis, Pantelis A.
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A survey on mobility-induced service migration in the fog, edge, and related computing paradigms [PDF]
, 2019 The final publication is available at ACM via http://dx.doi.org/10.1145/3326540With the advent of fog and edge computing paradigms, computation capabilities have been moved toward the edge of the network to support the requirements of highly demanding ...
Marín Tordera, Eva +2 more
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