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IEEE Transactions on Cloud Computing, 2023
Mobile edge computing (MEC) shows prominent application prospects in the Industrial Internet of Things (IIoT) by allowing resource-restricted IIoT mobile devices (MDs) to offload their tasks to geographical proximity edge clouds.
Yi Su, Wenhao Fan, Y. Liu, Fan Wu
semanticscholar +1 more source
Mobile edge computing (MEC) shows prominent application prospects in the Industrial Internet of Things (IIoT) by allowing resource-restricted IIoT mobile devices (MDs) to offload their tasks to geographical proximity edge clouds.
Yi Su, Wenhao Fan, Y. Liu, Fan Wu
semanticscholar +1 more source
Reinforcement Learning Based Energy-Efficient Collaborative Inference for Mobile Edge Computing
IEEE Transactions on Communications, 2023Collaborative inference in mobile edge computing (MEC) enables mobile devices to offload the computation tasks for the computation-intensive perception services, and the inference policy determines the inference latency and energy consumption.
Yilin Xiao +6 more
semanticscholar +1 more source
Energy-Efficient Mobile Edge Hosts for Mobile Edge Computing System
2018 IEEE International Conference on Information and Automation for Sustainability (ICIAfS), 2018Mobile edge computing is emerging as the new solution for next generation mobile applications, which require very low latency and high computing resources. By offloading the computation intensive tasks to mobile edge (ME) hosts located in the radio access network, users could gain energy saving benefits at the user equipment.
Shanmuganathan Thananjeyan +3 more
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IEEE Transactions on Vehicular Technology, 2022
The rapid development of maritime activities has led to the emergence of more and more computation-intensive applications. In order to meet the huge demand for wireless communications in maritime environment, mobile edge computing (MEC) is considered as ...
Ying-Ying Liu, Junjie Yan, Xiaohui Zhao
semanticscholar +1 more source
The rapid development of maritime activities has led to the emergence of more and more computation-intensive applications. In order to meet the huge demand for wireless communications in maritime environment, mobile edge computing (MEC) is considered as ...
Ying-Ying Liu, Junjie Yan, Xiaohui Zhao
semanticscholar +1 more source
Cooperative Edge Computing With Sleep Control Under Nonuniform Traffic in Mobile Edge Networks
IEEE Internet of Things Journal, 2019Mobile edge computing (MEC) is one of the key technologies for fifth generation networks and beyond, which brings computation resources in proximity to end users.
Shuo Wang, Xing Zhang, Zhi Yan, W. Wenbo
semanticscholar +1 more source
Multi-Agent Deep Reinforcement Learning for Task Offloading in UAV-Assisted Mobile Edge Computing
IEEE Transactions on Wireless Communications, 2022Mobile edge computing can effectively reduce service latency and improve service quality by offloading computation-intensive tasks to the edges of wireless networks.
Nan Zhao +4 more
semanticscholar +1 more source
SBA-Based Mobile Edge Computing
2019 IEEE Globecom Workshops (GC Wkshps), 20195G is becoming open, service-oriented, and software- oriented by introducing Service Based Architecture (SBA) into its core network. In consequence, we propose SBA-based mobile edge computing (MEC) in this paper. Firstly, we present a service-based MEC platform architecture, composed of network functions (NFs) and service based interface.
Ting Li +3 more
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Layer Dependency-Aware Learning Scheduling Algorithms for Containers in Mobile Edge Computing
IEEE Transactions on Mobile Computing, 2023Due to the features of lightweight and easy deployment, the use of containers has emerged as a promising approach for Mobile Edge Computing (MEC). Before running the container, an image composed of several layers must exist locally.
Zhiqing Tang, Jiong Lou, Weijia Jia
semanticscholar +1 more source
IEEE Transactions on Vehicular Technology, 2019
Computation offloading services provide required computing resources for vehicles with computation-intensive tasks. Past computation offloading research mainly focused on mobile edge computing (MEC) or cloud computing, separately.
Junhui Zhao +3 more
semanticscholar +1 more source
Computation offloading services provide required computing resources for vehicles with computation-intensive tasks. Past computation offloading research mainly focused on mobile edge computing (MEC) or cloud computing, separately.
Junhui Zhao +3 more
semanticscholar +1 more source
Proceedings of the 2013 ACM workshop on Mobile development lifecycle, 2013
Edge environments, such as those in which first responders and military personnel operate in, are characterized by dynamic context, limited computing resources, intermittent network connectivity, and high levels of stress. First responders and soldiers can use handheld devices in these environments to help with tasks such as speech and image ...
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Edge environments, such as those in which first responders and military personnel operate in, are characterized by dynamic context, limited computing resources, intermittent network connectivity, and high levels of stress. First responders and soldiers can use handheld devices in these environments to help with tasks such as speech and image ...
openaire +1 more source