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Cognitive Service in Mobile Edge Computing
2020 IEEE International Conference on Web Services (ICWS), 2020Cognitive services have revolutionized the way we live, work and interact with the world. In recent years, deep neural networks have become the mainstream approach in cognitive service, and mobile edge computing facilitates a variety of cognitive services for users by offloading computation tasks from resource-limited mobile devices to relatively ...
Chuntao Ding +3 more
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Towards Flying Mobile Edge Computing
2020 International Conference on Information Networking (ICOIN), 2020With the development of mobile edge computing (MEC), many approaches are proposed to improve the computation performances, such as network congestion, transmission latency, and quality of Internet of Things (IoTs) services. Although ground MEC system architectures are developed, there are still unsolved problems, such as depending on the ground ...
Ngo Thien Thu +5 more
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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
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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 +2 more sources
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, 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
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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
Adaptive Replication for Mobile Edge Computing
IEEE Journal on Selected Areas in Communications, 2018Mobile edge computing (MEC) has been proposed to complement the limitations of cloud computing. Allocating replicas in MEC servers can shorten transmission latency and improve the quality of service (QoS). However, cloud-based replication schemes may not be suitable for MEC servers due to their limited resources and the varied traffic in RANs.
Wan-Chi Chang, Pi-Chung Wang
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Comparison of edge computing implementations: Fog computing, cloudlet and mobile edge computing
2017 Global Internet of Things Summit (GIoTS), 2017When it comes to storage and computation of large scales of data, Cloud Computing has acted as the de-facto solution over the past decade. However, with the massive growth in intelligent and mobile devices coupled with technologies like Internet of Things (IoT), V2X Communications, Augmented Reality (AR), the focus has shifted towards gaining real-time
Soumya Kanti Datta, Koustabh Dolui
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Wireless backhaul for mobile edge computing
2016 IEEE NetSoft Conference and Workshops (NetSoft), 2016The purpose of this demonstration is to show our flexible wireless backhaul network and how it seamlessly integrates with an open source cloud platform for managing edge computing servers. We will demonstrate how information is exchanged between the radio network and the edge server via a Unified Technology Interface. The use case will show the benefit
Osianoh Glenn Aliu +2 more
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IEEE Transactions on Green Communications and Networking, 2023
Chaowei Wang +3 more
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Chaowei Wang +3 more
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