Zobrazeno 1 - 10
of 482
pro vyhledávání: '"Edge server"'
Maximizing Coverage and Energy Conservation in B5G Networks Using Hexagonal Tiling to Deploy FT-S2ES
Autor:
Vaibhav Tiwari, Chandrasen Pandey, Satyendra Singh Yadav, Diptendu Sinha Roy, Om Jee Pandey, Linga Reddy Cenkeramaddi
Publikováno v:
IEEE Open Journal of the Communications Society, Vol 5, Pp 2541-2554 (2024)
Edge Servers (ESs) enhance the efficiency and reliability of modern Beyond Fifth-Generation (B5G) network systems by reducing latency, boosting responsiveness, and optimizing network usage. From an industry standpoint, the optimal positioning of ESs
Externí odkaz:
https://doaj.org/article/33209a595cd4427aadbbf200140e1bd3
Autor:
Guangxu Li, Junke Li
Publikováno v:
Engineering Reports, Vol 6, Iss 5, Pp n/a-n/a (2024)
Abstract In mobile edge computing (MEC), accurately predicting and monitoring the energy consumption of edge servers is a key challenge in achieving green computing. The importance of solving this problem is that it can help optimize the energy usage
Externí odkaz:
https://doaj.org/article/464f19f7dbbc45c1b32b7ace59fca643
Publikováno v:
Journal of Cloud Computing: Advances, Systems and Applications, Vol 12, Iss 1, Pp 1-19 (2023)
Abstract With the speedy advancement and accelerated popularization of 5G networks, the provision and request of services through mobile smart terminals have become a hot topic in the development of mobile service computing. In this scenario, an effi
Externí odkaz:
https://doaj.org/article/ae0f6f96c97e4ed08253a8ab3821c631
Publikováno v:
SN Applied Sciences, Vol 5, Iss 11, Pp 1-21 (2023)
Abstract Federated Learning (FL) is a recent Machine Learning method for training with private data locally stored in distributed machines without gathering them into one place for central learning. Because FL depends on a central server for repeated
Externí odkaz:
https://doaj.org/article/c4adeb6d8eed4731bb2150370e5c2848
Publikováno v:
Applied Sciences, Vol 14, Iss 13, p 5943 (2024)
Due to the emergence of various new applications, such as short videos and online games, higher requirements of their computing and storage capacity are demanded of mobile networks. The traditional cloud computing paradigm has the shortcomings of lar
Externí odkaz:
https://doaj.org/article/131e32a0536945aa80051bb045e9558b
Autor:
Jinha Song, Jongho Nang
Publikováno v:
Applied Sciences, Vol 14, Iss 11, p 4615 (2024)
As the deployment of CCTV cameras for safety continues to increase, the monitoring workload has significantly exceeded the capacity of the current workforce. To overcome this problem, intelligent CCTV technologies and server-efficient deep learning a
Externí odkaz:
https://doaj.org/article/461b5581a6a74b56bc99d4bb3d7b2f03
Publikováno v:
Journal of Cloud Computing: Advances, Systems and Applications, Vol 11, Iss 1, Pp 1-15 (2022)
Abstract As is well known that the global optimization ability of the Fruit fly Optimization Algorithm (FOA)is weak because it is easy to fall into local optimum. In this paper, a Fruit Fly Optimization Algorithm based on Locality Sensitive Hashing-a
Externí odkaz:
https://doaj.org/article/e6eff1f8233e4cccafd15d537fbf8fb6
Autor:
Md Masum Reza, Jairo Gutierrez
Publikováno v:
Technologies, Vol 11, Iss 5, p 140 (2023)
With the rapid expansion of the Internet of Things (IoT), the necessity for lightweight communication is also increasing due to the constrained capabilities of IoT devices. This paper presents the design of a novel lightweight protocol called the Enh
Externí odkaz:
https://doaj.org/article/7bfbe82037ef4916997a564df046692c
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Akademický článek
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