Results 11 to 20 of about 994,283 (339)
A Survey on Mobile Edge Networks: Convergence of Computing, Caching and Communications [PDF]
IEEE Access , vol.PP, no.99, pp.1-1, 2017, 2017 As the explosive growth of smart devices and the advent of many new applications, traffic volume has been growing exponentially. The traditional centralized network architecture cannot accommodate such user demands due to heavy burden on the backhaul links and long latency.
Shuo Wang +5 more
arxiv +3 more sources
Computation Offloading and User-Clustering Game in Multi-Channel Cellular Networks for Mobile Edge Computing. [PDF]
Sensors (Basel), 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 ...
Huang YY, Wang PC.
europepmc +2 more sources
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
Task offloading optimization in mobile edge computing based on a deep reinforcement learning algorithm using density clustering and ensemble learning. [PDF]
Sci RepMobile 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.
Qin Y, Chen J, Jin L, Yao R, Gong Z.
europepmc +2 more sources
IEEE Access Special Section Editorial: Mobile Edge Computing
IEEE Access, 2020 Mobile edge computing (MEC) is emerging as a promising computing architecture by pushing computation and storage closer to end-users with both strategically deployed edge servers and opportunistic available resources.
Yan Zhang +6 more
doaj +1 more source
Journal of Function Spaces, 2022 With the rapid development of mobile communication technology, the data transmission rate of mobile communication has been significantly improved and emerging Internet of things applications need a lot of computing resources to meet their own computing ...
Jianzhao Sun
doaj +1 more source
Computation-Bandwidth Trading for Mobile Edge Computing [PDF]
2019 16th IEEE Annual Consumer Communications & Networking Conference (CCNC), 2019 We consider the problem of mobile computation offloading to both an edge cloud and to peer devices, and propose bandwidth incentives for those peer devices. Based on this idea, we formulate a joint optimization of the share of computations that are offloaded to the cloud and to peers, the identity of those assisting peers, and the allocation of ...
Gupta, Sabyasachi, Lozano, Angel
openaire +2 more sources
Computation Offloading Strategy in Mobile Edge Computing [PDF]
Information, 2019 Mobile phone applications have been rapidly growing and emerging with the Internet of Things (IoT) applications in augmented reality, virtual reality, and ultra-clear video due to the development of mobile Internet services in the last three decades. These applications demand intensive computing to support data analysis, real-time video processing, and
Jinfang Sheng +4 more
openaire +3 more sources
LBRO: Load Balancing for Resource Optimization in Edge Computing
IEEE Access, 2022 Mobile cloud computing and edge computing-based solutions provide means to offload tasks for resource-limited mobile devices. Mobile cloud computing provides remote cloud solutions while edge computing provides closer proximity-based solutions.
Muhammad Ziad Nayyer +6 more
doaj +1 more source
Discontinuous Computation Offloading for Energy-Efficient Mobile Edge Computing [PDF]
IEEE Transactions on Green Communications and Networking, 2022 Accepted and published in the IEEE Transactions on Green Communications and ...
Mattia Merluzzi +4 more
openaire +5 more sources