Cost-efficient multi-service task offloading scheduling for mobile edge computing
Sign Up to like & getrecommendations! Published in 2021 at "Applied Intelligence"
DOI: 10.1007/s10489-021-02549-2
Abstract: Task offloading in edge computing has become an effective way to expand the computing power of user equipment, since it migrates computing-intensive applications from user equipment to edge servers. The execution of a task may… read more here.
Keywords: multi service; task; edge computing; service ... See more keywords
An optimized human resource management model for cloud-edge computing in the internet of things
Sign Up to like & getrecommendations! Published in 2021 at "Cluster Computing"
DOI: 10.1007/s10586-021-03319-y
Abstract: The use of cloud-edge technology creates significant potential for cost reduction, efficiency and resource management. These features have encouraged users and organizations to use intelligence federated cloud-edge paradigm in Internet of Things (IoT). Human Resource… read more here.
Keywords: cloud edge; edge computing; edge; resource management ... See more keywords
Distributed Deep Learning-based Offloading for Mobile Edge Computing Networks
Sign Up to like & getrecommendations! Published in 2018 at "Mobile Networks and Applications"
DOI: 10.1007/s11036-018-1177-x
Abstract: This paper studies mobile edge computing (MEC) networks where multiple wireless devices (WDs) choose to offload their computation tasks to an edge server. To conserve energy and maintain quality of service for WDs, the optimization… read more here.
Keywords: edge computing; deep learning; distributed deep; learning based ... See more keywords
QoS Prediction for Service Recommendation with Deep Feature Learning in Edge Computing Environment
Sign Up to like & getrecommendations! Published in 2020 at "Mobile Networks and Applications"
DOI: 10.1007/s11036-019-01241-7
Abstract: Along with the popularity of intelligent services and mobile services, service recommendation has become a key task, especially the task based on quality-of-service (QoS) in edge computing environment. Most existing service recommendation methods have some… read more here.
Keywords: edge computing; computing environment; service recommendation; service ... See more keywords
FedMEC: Improving Efficiency of Differentially Private Federated Learning via Mobile Edge Computing
Sign Up to like & getrecommendations! Published in 2020 at "Mobile Networks and Applications"
DOI: 10.1007/s11036-020-01586-4
Abstract: Federated learning is a recently proposed paradigm that presents significant advantages in privacy-preserving machine learning services. It enables the deep learning applications on mobile devices, where a deep neural network (DNN) is trained in a… read more here.
Keywords: federated learning; edge computing; differentially private; edge ... See more keywords
Multi-objective computation offloading for Internet of Vehicles in cloud-edge computing
Sign Up to like & getrecommendations! Published in 2020 at "Wireless Networks"
DOI: 10.1007/s11276-019-02127-y
Abstract: The Internet of Vehicles (IoV) has gained worldwide attentions as it provides the service of collecting real-time traffic information to improve the road safety. The IoV users can offload their computing tasks to the edge… read more here.
Keywords: cloud edge; edge computing; computation offloading; multi objective ... See more keywords
Collaborative task offloading and resource scheduling framework for heterogeneous edge computing
Sign Up to like & getrecommendations! Published in 2021 at "Wireless Networks"
DOI: 10.1007/s11276-021-02768-y
Abstract: With the continuous development and maturity of the fifth-generation mobile network (5G) technology, the demand for multimedia service access is increasing, which poses huge challenges to the connectivity, caching capabilities, and computing capabilities of the… read more here.
Keywords: task offloading; task; resource; edge computing ... See more keywords
AGCM: Active Queue Management-Based Green Cloud Model for Mobile Edge Computing
Sign Up to like & getrecommendations! Published in 2019 at "Wireless Personal Communications"
DOI: 10.1007/s11277-019-06119-1
Abstract: Mobile edge computing (MEC) introduced a way for mobile users to acquire the benefits of cloud computing and satisfy the continuous growth of data demands. Still, amidst the evolutionary development of cloud computing and MEC,… read more here.
Keywords: green cloud; model; cloud; edge computing ... See more keywords
Resource optimization in wireless powered cooperative mobile edge computing systems
Sign Up to like & getrecommendations! Published in 2021 at "Science China Information Sciences"
DOI: 10.1007/s11432-020-2925-1
Abstract: Mobile edge computing (MEC) meets the high-bandwidth and ultra-low-latency requirements of mobile networks and improves communication reliability by reducing the networks’ load. In this study, we study a wireless powered MEC system, which includes an… read more here.
Keywords: edge computing; wireless powered; optimization; wireless ... See more keywords
Real-time task processing method based on edge computing for spinning CPS
Sign Up to like & getrecommendations! Published in 2019 at "Frontiers of Mechanical Engineering"
DOI: 10.1007/s11465-019-0542-1
Abstract: Spinning production is a typical continuous manufacturing process characterized by high speed and uncertain dynamics. Each manufacturing unit in spinning production produces various real-time tasks, which may affect production efficiency and yarn quality if not… read more here.
Keywords: time; real time; time task; task processing ... See more keywords
Recent advances in mobile edge computing and content caching
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DOI: 10.1016/j.dcan.2019.08.004
Abstract: Abstract 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… read more here.
Keywords: content caching; edge computing; computing content; edge ... See more keywords