Results 331 to 340 of about 459,637 (360)
Some of the next articles are maybe not open access.

Cognitive Service in Mobile Edge Computing

2020 IEEE International Conference on Web Services (ICWS), 2020
Cognitive 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
openaire   +2 more sources

Towards Flying Mobile Edge Computing

2020 International Conference on Information Networking (ICOIN), 2020
With 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
openaire   +2 more sources

Cooperative Edge Computing With Sleep Control Under Nonuniform Traffic in Mobile Edge Networks

IEEE Internet of Things Journal, 2019
Mobile 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

Mobile computing at the edge

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 ...
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), 2018
Mobile 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
openaire   +2 more sources

Computation Offloading and Resource Allocation For Cloud Assisted Mobile Edge Computing in Vehicular Networks

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

Adaptive Replication for Mobile Edge Computing

IEEE Journal on Selected Areas in Communications, 2018
Mobile 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
openaire   +2 more sources

Comparison of edge computing implementations: Fog computing, cloudlet and mobile edge computing

2017 Global Internet of Things Summit (GIoTS), 2017
When 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
openaire   +2 more sources

Wireless backhaul for mobile edge computing

2016 IEEE NetSoft Conference and Workshops (NetSoft), 2016
The 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
openaire   +1 more source

Energy-Efficient Task Scheduling Based on Traffic Mapping in Heterogeneous Mobile-Edge Computing: A Green IoT Perspective

IEEE Transactions on Green Communications and Networking, 2023
Chaowei Wang   +3 more
semanticscholar   +1 more source

Home - About - Disclaimer - Privacy