Results 21 to 30 of about 459,637 (360)

Resource Management in Mobile Edge Computing: A Comprehensive Survey

ACM Computing Surveys, 2023
With the evolution of 5G and Internet of Things technologies, Mobile Edge Computing (MEC) has emerged as a major computing paradigm. Compared to cloud computing, MEC integrates network control, computing, and storage to customizable, fast, reliable, and ...
Xiaojie Zhang, S. Debroy
semanticscholar   +1 more source

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, Imran Raza, Syed Asad Hussain, Muhammad Hasan Jamal, Zeeshan Gillani, Soojung Hur, Imran Ashraf   +6 more
doaj   +1 more source

Deep Learning at the Mobile Edge: Opportunities for 5G Networks

Applied Sciences, 2020
Mobile edge computing (MEC) within 5G networks brings the power of cloud computing, storage, and analysis closer to the end user. The increased speeds and reduced delay enable novel applications such as connected vehicles, large-scale IoT, video ...
Miranda McClellan, Cristina Cervelló-Pastor, Sebastià Sallent   +2 more
doaj   +1 more source

Multi-Objective Optimization for Multi-UAV-Assisted Mobile Edge Computing [PDF]

IEEE Transactions on Mobile Computing
Recent developments in unmanned aerial vehicles (UAVs) and mobile edge computing (MEC) have provided users with flexible and resilient computing services. However, meeting the computation-intensive and delay-sensitive demands of users poses a significant
Geng Sun, Yixian Wang, Zemin Sun, Qingqing Wu, Jiawen Kang, Dusist Niyato, Victor C. M. Leung   +6 more
semanticscholar   +1 more source

Mobile learning evolution and emerging computing paradigms: An edge-based cloud architecture for reduced latencies and quick response time

Array, 2022
The emerging computing paradigms like mobile cloud, mobile edge computing, fog computing, AI, and 5G provide the scope to advance mobile learning (m-learning) performances across educational disciplines.
Khalid Mohiuddin, Huda Fatima, Mohiuddin Ali Khan, Mohammad Abdul Khaleel, Osman A. Nasr, Samreen Shahwar   +5 more
doaj   +1 more source

System architecture and deployment scenarios for SESAME: small cEllS coordinAtion for Multi-tenancy and Edge services [PDF]

, 2016
The surge of the Internet traffic with exabytes of data flowing over operators’ mobile networks has created the need to rethink the paradigms behind the design of the mobile network architecture.
Albanese, Antonino, Fajardo, Jose Oscar, Giannoulakis, Ioannis, Kafetzakis, Emmanouil, Khodashenas, Pouria Sayyad, Kourtis, Anastasios, Mouratidis, Haralambos, Vassilakis, Vassilios, Xylouris, George   +8 more
core   +2 more sources

Computing and relaying : utilizing mobile edge computing for P2P communications [PDF]

, 2020
Besides increasing the computing capacity of edge devices, mobile edge computing (MEC) can also be utilized to help communication. This paper proposes an MEC-assisted computing and relaying scheme to enhance the throughput of uncompressed data for mobile
Chen, Li, Chen, Yunfei, Qin, Min, Wei, Guo, Yu, F. Richard, Zhao, Nan   +5 more
core   +1 more source

Mobile Edge Computing for the Metaverse

, 2022
The Metaverse has emerged as the next generation of the Internet. It aims to provide an immersive, persistent virtual space where people can live, learn, work and interact with each other. However, the existing technology is inadequate to guarantee high visual quality and ultra-low latency service for the Metaverse players.
Liu, Chang, Wang, Yitong, Zhao, Jun
openaire   +2 more sources

Mobility-Enabled Edge Server Selection for Multi-User Composite Services

Future Internet, 2019
In mobile edge computing, a set of edge servers is geographically deployed near the mobile users such that accessible computing capacities and services can be provided to users with low latency.
Wenming Zhang, Yiwen Zhang, Qilin Wu, Kai Peng   +3 more
doaj   +1 more source

Offloading Optimization for Low-Latency Secure Mobile Edge Computing Systems [PDF]

, 2020
This paper proposes a low-latency secure mobile edge computing (MEC) system where multiple users offload computing tasks to a base station in the presence of an eavesdropper.
Elkashlan, Maged, Li, Yonghui, Pan, Cunhua, Vucetic, Branka, Wang, Kezhi, Wang, Zhongfeng, Yeoh, Phee Lep, Zhou, Yi   +7 more
core   +2 more sources