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Edge Computing Driven Low-Light Image Dynamic Enhancement for Object Detection
IEEE Transactions on Network Science and Engineering, 2023With fast increase in volume of mobile multimedia data, how to apply powerful deep learning methods to process data with real-time response becomes a major issue.
Yirui Wu +5 more
semanticscholar +1 more source
Edge Computing for Industry 5.0: Fundamental, Applications, and Research Challenges
IEEE Internet of Things JournalIndustry 5.0 is the next stage in industrial evolution, collaborating between human ingenuity and intelligent technologies to provide manufacturing solutions.
Megha Sharma, Abhinav Tomar, A. Hazra
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Proceedings of the 10th ACM International Systems and Storage Conference, 2017
The serverless paradigm has been rapidly adopted by developers of cloud-native applications, mainly because it relieves them from the burden of provisioning, scaling and operating the underlying infrastructure. In this paper, we propose a novel computing paradigm - Deviceless Edge Computing that extends the serverless paradigm to the edge of the ...
Alex Glikson +2 more
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The serverless paradigm has been rapidly adopted by developers of cloud-native applications, mainly because it relieves them from the burden of provisioning, scaling and operating the underlying infrastructure. In this paper, we propose a novel computing paradigm - Deviceless Edge Computing that extends the serverless paradigm to the edge of the ...
Alex Glikson +2 more
openaire +1 more source
UAV-Assisted Task Offloading in Vehicular Edge Computing Networks
IEEE Transactions on Mobile ComputingVehicular edge computing (VEC) provides an effective task offloading paradigm by pushing cloud resources to the vehicular network edges, e.g., road side units (RSUs).
Xingxia Dai +3 more
semanticscholar +1 more source
2016
Currently, most cloud computing deployments are generally supported through the use of large scale data centres. There is a common perception that by developing scalable computation, storage, network, and by energy-acquisition at preferential prices, data centres are able to provide more efficient, reliable and cost effective hosting environments for ...
Luiz F. Bittencourt +2 more
openaire +1 more source
Currently, most cloud computing deployments are generally supported through the use of large scale data centres. There is a common perception that by developing scalable computation, storage, network, and by energy-acquisition at preferential prices, data centres are able to provide more efficient, reliable and cost effective hosting environments for ...
Luiz F. Bittencourt +2 more
openaire +1 more source
Joint Optimization of Computing Offloading and Service Caching in Edge Computing-Based Smart Grid
IEEE Transactions on Cloud Computing, 2023With the continuous expansion of the power Internet of Things (IoT) and the rapid increase in the number of Smart Devices (SDs), the data generated by SDs has exponentially increased. The traditional cloud-based smart grid cannot meet the low latency and
Huan Zhou +3 more
semanticscholar +1 more source
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
Koustabh Dolui, Soumya Kanti Datta
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IEEE transactions on consumer electronics
The Sixth Generation network (6G) can support autonomous driving along with various vehicular applications like Vehicular Edge Computing (VEC), a distributed computing architecture for connected autonomous vehicles.
M. Hasan +7 more
semanticscholar +1 more source
The Sixth Generation network (6G) can support autonomous driving along with various vehicular applications like Vehicular Edge Computing (VEC), a distributed computing architecture for connected autonomous vehicles.
M. Hasan +7 more
semanticscholar +1 more source
Reverse Auction-Based Computation Offloading and Resource Allocation in Mobile Cloud-Edge Computing
IEEE Transactions on Mobile Computing, 2023This article proposes a novel Reverse Auction-based Computation Offloading and Resource Allocation Mechanism, named RACORAM for the mobile Cloud-Edge computing.
Huan Zhou +5 more
semanticscholar +1 more source
Fusion of memristor and digital compute-in-memory processing for energy-efficient edge computing
ScienceArtificial intelligence (AI) edge devices prefer employing high-capacity nonvolatile compute-in-memory (CIM) to achieve high energy efficiency and rapid wakeup-to-response with sufficient accuracy.
Tai-Hao Wen +19 more
semanticscholar +1 more source