Results 41 to 50 of about 9,752 (300)
As a new form of computing based on the core technology of cloud computing and built on edge infrastructure, edge computing can handle computing-intensive and delay-sensitive tasks.
Qian You, Bing Tang
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Optimization in Edge Computing: A Survey
Due to advancement, there are now more smart devices connected to the internet., which causes massive data traffic in the network. Resulting in many problems such as slow response time, largely consumed energy, high load in transmission channels, and ...
Raghad Jassim Mohammed +1 more
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Toward Computation Offloading in Edge Computing: A Survey [PDF]
The explosive growth of massive data generation from Internet of Things in industrial, agricultural and scientific communities has led to a rapid increase for data analytics in cloud data centers. The ubiquitous and pervasive demand for near-data processing urges the edge computing paradigm in recent years.
Congfeng Jiang +4 more
openaire +2 more sources
Synonym‐based multi‐keyword ranked search with secure k‐NN in 6G network
Abstract Sixth Generation (6G) integrates the next generation communication systems such as maritime, terrestrial, and aerial to offer robust network and massive device connectivity with ultra‐low latency requirement. The cutting edge technologies such as artificial intelligence, quantum machine learning, and millimetre enable hyper‐connectivity to ...
Deebak Bakkiam David, Fadi Al‐Turjman
wiley +1 more source
Deep Reinforcement Learning-Based Task Offloading Over In-Network Computing and Multi-Access Edge Computing [PDF]
With the blooming of information technology and network applications/services, emerging multi-access edge computing (MEC) and in-network computing (INC) are regarded as key computing paradigms to support time-sensitive tasks and requests by task ...
Ming, Zhao +3 more
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Abstract This research aims to study the intelligent wireless sensor to improve the water permeability of permeable asphalt concrete pavement. The water permeability of pavement is extremely important for the traffic environment. This study first briefly introduces the background and significance analysis, and then exemplifies the deployment algorithm ...
Xingmei Zhang, Cong Xu, Qi Lei
wiley +1 more source
A scalable Edge Computing architecture enabling smart offloading for Location Based Services
The evolution of Location Based Services (LBS) is expected to play a significant role in the future smart city. The ever-increasing amount of data produced, along with the emergence of next-generation computationally intensive applications, requires new ...
Papadimitriou, Panagiotis +6 more
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Distributed wireless network resource optimisation method based on mobile edge computing
This paper mainly compares the network ranking leader, consumption amount and network signal reception of the three algorithms. The study found that in terms of network sort captain, there are significant differences between the CPLEX algorithm, the CCST algorithm, and edge computing methods. The CCST algorithm and edge computing have little difference
Jiongting Jiang +4 more
wiley +1 more source
Task offloading method of edge computing in IoT based on Deep Q Learning Algorithm
To improve the efficiency of task offloading in edge computing of the Internet of Things, a multi-task offloading optimization model combining software definition network and dual depth Q network is proposed. First of all, the edge computing framework of
Zhenzhen Dong, Mingjian Zhang
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A context sensitive offloading scheme for mobile cloud computing service
Mobile cloud computing (MCC) has drawn significant research attention as the popularity and capability of mobile devices have been improved in recent years.
Dastjerdi, Amir V. +9 more
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