Results 11 to 20 of about 51,610 (211)
Artificial Intelligent Multi-Access Edge Computing Servers Management
The advances of multi-access edge computing (MEC) have paved the way for the integration of the MEC servers, as intelligent entities into the Internet of Things (IoT) environment as well as into the 5G radio access networks.
Georgios Fragkos +2 more
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Digital Twins and Multi-Access Edge Computing for IIoT
Background: All recent technology findings could be involved and combined to strengthen the “Industrial Internet of Things” (IIoT) sector. The novel technology of “Multi-Access Edge Computing” or “Mobile Edge Computing” (MEC) rises rapidly in the ...
Andreas P. Plageras +1 more
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Privacy-Enhanced AKMA for Multi-Access Edge Computing Mobility
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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ZONE-Based Multi-Access Edge Computing Scheme for User Device Mobility Management
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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Performance Evaluation of Integrated Multi-Access Edge Computing and Fiber-Wireless Access Networks
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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Decentralized Offloading Strategies Based on Reinforcement Learning for Multi-Access Edge Computing
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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Realizing contact-less applications with Multi-Access Edge Computing
The entire world progression has ceased with the unexpected outbreak of the COVID-19 pandemic, and urges the requirement for contact-less and autonomous services and applications.
Pasika Ranaweera +3 more
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Dynamic Computation Offloading Based on Graph Partitioning in Mobile Edge Computing
Mobile edge computing is a new cloud computing paradigm that utilizes small-sized edge clouds to provide real-time services to users. These mobile edge clouds (MECs) are located near users, thereby enabling users to seamlessly access applications that ...
Guangshun Li +4 more
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Software Defined Network-Based Multi-Access Edge Framework for Vehicular Networks
Vehicular networks aim to support cooperative warning applications that involve the dissemination of warning messages to reach vehicles in a target area. Due to the high mobility of vehicles, imperative technologies such as software-defined network (SDN)
Lionel Nkenyereye +5 more
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Edge computing has recently emerged as an important paradigm to bring filtering, processing, and caching resources to the edge of networks. However, with the increasing popularity of augmented reality and virtual reality application, user requirements on
Danyue Wang +3 more
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