Mobile Edge Computing: A Survey on Architecture and Computation Offloading [PDF]
IEEE Communications Surveys and Tutorials, 2017 28 pages, 21 figures, Accepted for publication in IEEE Communications Surveys and ...
Zdenek Becvar
exaly +7 more sources
A dataset for mobile edge computing network topologies. [PDF]
Data Brief, 2021 Mobile Edge Computing (MEC) is vital to support the numerous, future applications that are envisioned in the 5G and beyond mobile networks. Since computation capabilities are available at the edge of the network, applications that need ultra low-latency, high bandwidth and reliability can be deployed more easily.
Xiang B +3 more
europepmc +6 more sources
When Mobile Blockchain Meets Edge Computing [PDF]
IEEE Communications Magazine, 2018 Blockchain, as the backbone technology of the current popular Bitcoin digital currency, has become a promising decentralized data management framework.
Han, Zhu +4 more
core +4 more sources
Mobile Edge Computing Empowers Internet of Things
, 2017 In this paper, we propose a Mobile Edge Internet of Things (MEIoT) architecture by leveraging the fiber-wireless access technology, the cloudlet concept, and the software defined networking framework.
Ansari, Nirwan, Sun, Xiang
core +3 more sources
Joint Computation and Communication Cooperation for Mobile Edge Computing [PDF]
2018 16th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt), 2017 This paper proposes a novel joint computation and communication cooperation approach in mobile edge computing (MEC) systems, which enables user cooperation in both computation and communication for improving the MEC performance.
Cao, Xiaowen +4 more
core +3 more sources
Computation Offloading and User-Clustering Game in Multi-Channel Cellular Networks for Mobile Edge Computing [PDF]
Sensors, 2023 Mobile devices may use mobile edge computing to improve energy efficiency and responsiveness by offloading computation tasks to edge servers. However, the transmissions of mobile devices may result in interference that decreases the upload rate and ...
Yan-Yun Huang, Pi-Chung Wang
doaj +2 more sources
Task offloading optimization in mobile edge computing based on a deep reinforcement learning algorithm using density clustering and ensemble learning [PDF]
Scientific ReportsMobile edge computing offloads compute-intensive tasks generated on mobile wireless devices (WD) to edge servers (ES), which provides mobile users with low-latency computing services.
Yi Qin +4 more
doaj +2 more sources
Stackelberg Model Based Distributed Pricing and Computation Offloading in Mobile Edge Computing [PDF]
Jisuanji kexue, 2023 As a novel computing paradigm,mobile edge computing(MEC) provides low latency and flexible computing and communication services for mobile devices by offloading computing tasks from mobile devices to the physically proximal network edge.However,because ...
CHEN Xuzhan, LIN Bing, CHEN Xing
doaj +1 more source
Research on security defense of mobile edge computing
网络与信息安全学报, 2021 Mobile Edge Computing can solve the problem of heavy backhaul link overloaded and long delay effectively by further extending the telecommunication cellular network to other wireless access networks.
CHEN Lu, TANG Hongbo, YOU Wei, BAI Yi
doaj +3 more sources
Selective Edge Computing for Mobile Analytics
IEEE Transactions on Network and Service Management, 2022 An increasing number of mobile applications rely on Machine Learning (ML) routines for analyzing data. Executing such tasks at the user devices saves the energy spent on transmitting and processing large data volumes at distant cloud-deployed servers.
Apostolos Galanopoulos +3 more
openaire +4 more sources