Results 41 to 50 of about 450,547 (225)

Cross-Server Computation Offloading for Multi-Task Mobile Edge Computing

open access: yesInformation, 2020
As an emerging network architecture and technology, mobile edge computing (MEC) can alleviate the tension between the computation-intensive applications and the resource-constrained mobile devices.
Yongpeng Shi, Yujie Xia, Ya Gao
doaj   +1 more source

Efficient Multi-User Computation Offloading for Mobile-Edge Cloud Computing [PDF]

open access: yesIEEE/ACM Transactions on Networking, 2015
Mobile-edge cloud computing is a new paradigm to provide cloud computing capabilities at the edge of pervasive radio access networks in close proximity to mobile users.
Xu Chen   +3 more
semanticscholar   +1 more source

IEEE Access Special Section Editorial: Mobile Edge Computing and Mobile Cloud Computing: Addressing Heterogeneity and Energy Issues of Compute and Network Resources

open access: yesIEEE Access, 2020
Mobile applications are advancing toward higher network and compute requirements, which are similar to the requirements of server applications. Users prefer to perform their tasks on the go from mobile devices instead of stationary desktop and server ...
Muhammad Khurram Khan   +6 more
doaj   +1 more source

A Survey on Mobile Edge Computing Infrastructure: Design, Resource Management, and Optimization Approaches

open access: yesIEEE Access, 2022
Emerging 5G cellular networks are expected to face a dramatic increase in the volume of mobile traffic and IoT user requests due to the massive growth in mobile devices and the emergence of new compute-intensive applications.
L. A. Haibeh, M. Yagoub, A. Jarray
semanticscholar   +1 more source

Performance Evaluation of Integrated Multi-Access Edge Computing and Fiber-Wireless Access Networks

open access: yesIEEE 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
doaj   +1 more source

Joint Computation Offloading and Prioritized Scheduling in Mobile Edge Computing [PDF]

open access: yes, 2018
With the rapid development of smart phones, enormous amounts of data are generated and usually require intensive and real-time computation. Nevertheless, quality of service (QoS) is hardly to be met due to the tension between resourcelimited (battery ...
Gao, Lingfang
core   +1 more source

In-Edge AI: Intelligentizing Mobile Edge Computing, Caching and Communication by Federated Learning [PDF]

open access: yesIEEE Network, 2018
Recently, along with the rapid development of mobile communication technology, edge computing theory and techniques have been attracting more and more attention from global researchers and engineers, which can significantly bridge the capacity of cloud ...
Xiaofei Wang   +5 more
semanticscholar   +1 more source

Joint Service Placement and Request Routing in Multi-cell Mobile Edge Computing Networks

open access: yes, 2019
The proliferation of innovative mobile services such as augmented reality, networked gaming, and autonomous driving has spurred a growing need for low-latency access to computing resources that cannot be met solely by existing centralized cloud systems ...
Llorca, Jaime   +4 more
core   +1 more source

Multi-access edge computing: open issues, challenges and future perspectives

open access: yesJournal of Cloud Computing: Advances, Systems and Applications, 2017
Latency minimization is a pivotal aspect in provision of real time services while adhering to Quality of Experience (QoE) parameters for assuring spectral efficiency. Edge Cloud Computing, being a potential research dimension in the realm of 5G networks,
Sonia Shahzadi   +3 more
doaj   +1 more source

Improvement of particle swarm algorithm based on ultra-dense networking under 5G architecture

open access: yesDianzi Jishu Yingyong, 2023
With the development of mobile communication technology, traditional intelligent terminal devices cannot meet the rapidly growing massive data computing requirements.
Peng Sheng, Zhao Jianbao, Wei Minjie
doaj   +1 more source

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