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Future Generation Computer Systems, 2019
Abstract In recent years, the Edge computing paradigm has gained considerable popularity in academic and industrial circles. It serves as a key enabler for many future technologies like 5G, Internet of Things (IoT), augmented reality and vehicle-to-vehicle communications by connecting cloud computing facilities and services to the end users. The Edge
, Ejaz Ahmed, Saqib Håkak
exaly +2 more sources
Abstract In recent years, the Edge computing paradigm has gained considerable popularity in academic and industrial circles. It serves as a key enabler for many future technologies like 5G, Internet of Things (IoT), augmented reality and vehicle-to-vehicle communications by connecting cloud computing facilities and services to the end users. The Edge
, Ejaz Ahmed, Saqib Håkak
exaly +2 more sources
Edge Computing on IoT for Machine Signal Processing and Fault Diagnosis: A Review
IEEE Internet of Things Journal, 2023Edge computing is an emerging paradigm that offloads the computations and analytics workloads onto the Internet of Things (IoT) edge devices to accelerate the computation efficiency, reduce the channel occupation of signal transmission, and reduce the ...
Siliang Lu +4 more
semanticscholar +1 more source
The Computation of Binocular Edges
Perception, 1980A computational model is described which effects the binocular combination of monocular edge information. The distinctive features of the model are: (i) it identifies edge locations in each monocular field by searching for zero crossings in nonorientated centre-surround convolution profiles; (ii) it selects amongst all possible binocular point-for ...
J E, Mayhew, J P, Frisby
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Joint Task Offloading and Resource Allocation for Energy-Constrained Mobile Edge Computing
IEEE Transactions on Mobile Computing, 2023We consider the problem of task offloading and resource allocation in mobile edge computing (MEC). To maintain satisfactory quality of experience (QoE) of end-users, mobile devices (MDs) may offload their tasks to edge servers based on the allocated ...
Hongbo Jiang +3 more
semanticscholar +1 more source
Edge-computing-driven Internet of Things: A Survey
ACM Computing Surveys, 2022The Internet of Things (IoT) is impacting the world’s connectivity landscape. More and more IoT devices are connected, bringing many benefits to our daily lives. However, the influx of IoT devices poses non-trivial challenges for the existing cloud-based
L. Kong +8 more
semanticscholar +1 more source
From Sensors to Data Intelligence: Leveraging IoT, Cloud, and Edge Computing with AI
Italian National Conference on SensorsThe exponential growth of connected devices and sensor networks has revolutionized data collection and monitoring across industries, from healthcare to smart cities.
Ilenia Ficili +3 more
semanticscholar +1 more source
A Comprehensive Survey on Artificial Intelligence Empowered Edge Computing on Consumer Electronics
IEEE transactions on consumer electronics, 2023The Internet revolution and Moore’s Law drove the rapid expansion of connected consumer electronics. As massive data is generated by Internet of Things (IoT) devices, edge computing has been developed and applied in consumer electronics to provide agile ...
Jia-Hao Syu +3 more
semanticscholar +1 more source
Computer, 2016
The success of the Internet of Things and rich cloud services have helped create the need for edge computing, in which data processing occurs in part at the network edge, rather than completely in the cloud. Edge computing could address concerns such as latency, mobile devices' limited battery life, bandwidth costs, security, and privacy.
Weisong Shi, Schahram Dustdar
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The success of the Internet of Things and rich cloud services have helped create the need for edge computing, in which data processing occurs in part at the network edge, rather than completely in the cloud. Edge computing could address concerns such as latency, mobile devices' limited battery life, bandwidth costs, security, and privacy.
Weisong Shi, Schahram Dustdar
openaire +1 more source
Task Partitioning and Offloading in DNN-Task Enabled Mobile Edge Computing Networks
IEEE Transactions on Mobile Computing, 2023Deep neural network (DNN)-task enabled mobile edge computing (MEC) is gaining ubiquity due to outstanding performance of artificial intelligence. By virtue of characteristics of DNN, this paper develops a joint design of task partitioning and offloading ...
Mingjin Gao +5 more
semanticscholar +1 more source
A Survey of Computation Offloading in Edge Computing
2020 International Conference on Computer, Information and Telecommunication Systems (CITS), 2020Computation offloading is a critical technology for emerging edge computing and Internet of things (IoT). It is views as a solution of the limited resources of IoT devices by offloading tasks to other devices or servers. It can brings many benefits, such as prolonging battery life, reducing the latency and improving application performance. In practice,
Tao Zheng 0010 +4 more
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