Results 31 to 40 of about 278,906 (318)
Research on energy management of multi-user mobile edge computing offloading
物联网学报, 2019 In mobile edge computing system,the quality of computing experience can be improved greatly by offloading computing tasks from mobile devices to mobile edge computing servers.Consider incorporating renewable energy into a multi-user mobile edge system ...
Luyao WANG +2 more
doaj +2 more sources
A Survey on Mobile Edge Networks: Convergence of Computing, Caching and Communications
IEEE Access, 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 ...
Shuo Wang +5 more
doaj +1 more source
Communication-Aware Computing for Edge Processing
, 2017 We consider a mobile edge computing problem, in which mobile users offload their computation tasks to computing nodes (e.g., base stations) at the network edge.
Avestimehr, A. Salman +2 more
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Performance Guaranteed Computation Offloading for Mobile-Edge Cloud Computing [PDF]
, 2017 In this letter, we investigate an energy efficiency with performance guaranteed problem in mobile-edge computing. The mobile users desire lower energy consumption with better performance of tasks, for that we propose an energy minimizing optimization ...
DONG Mianxiong +4 more
core +2 more sources
Recent advances in mobile edge computing and content caching
Digital Communications and Networks, 2020 The demand for digital media services is increasing as the number of wireless subscriptions is growing exponentially. In order to meet this growing need, mobile wireless networks have been advanced at a tremendous pace over recent days.
Sunitha Safavat +2 more
doaj +1 more source
Online Learning for Offloading and Autoscaling in Energy Harvesting Mobile Edge Computing
, 2017 Mobile edge computing (a.k.a. fog computing) has recently emerged to enable in-situ processing of delay-sensitive applications at the edge of mobile networks.
Chen, Lixing, Ren, Shaolei, Xu, Jie
core +1 more source
Edge Computing Architecture for Mobile Crowdsensing
IEEE Access, 2018 Mobile crowdsensing (MCS) is a human-driven Internet of Things (IoT) service empowering citizens to observe phenomena of individual, community, or even societal value by sharing sensor data about their environment {; ; ; \color{; ; ; red}; ; ; while on the move}; ; ; .
Martina Marjanovic +2 more
openaire +3 more sources
A survey on edge computing offloading
Dianxin kexue, 2019 Edge computing integrate the computing,storage and other resources on the edge of the network into a unified user service platform.According to the principle of nearest service,the network edge node task request is timely and correspondingly processed ...
Youkang ZHU +3 more
doaj +2 more sources
Mobile edge computing resource allocation: A joint Stackelberg game and matching strategy
International Journal of Distributed Sensor Networks, 2019 Mobile edge computing has attracted great interests in the popularity of fifth-generation (5G) networks and Internet of Things. It aims to supply low-latency and high-interaction services for delay-sensitive applications.
Shaoyong Guo +4 more
doaj +1 more source
Applied Sciences, 2021 Mobile terminal applications with high computing complexity and high time delay sensitivity are developing quite fast today, which aggravates the load of mobile cloud computing and storage and further leads to network congestion and service quality ...
Tian Liu +4 more
doaj +1 more source