Zobrazeno 1 - 10
of 14 353
pro vyhledávání: '"Fog computing"'
Autor:
Yurij Pavlovich Butsenko, Subhi Hammadi Hamdoun, Mehdi Muhemed Mool, Azhar Raheem Mohammed Al-Ani, Saif Kamil Shnain, Abdul Mohsen Jaber Almaaly, Mohammed Abdul Majeed
Publikováno v:
Proceedings of the XXth Conference of Open Innovations Association FRUCT, Vol 36, Iss 1, Pp 239-248 (2024)
Background: The Industrial Internet of Things (IIoT) has revolutionized operations for businesses, and fog computing is a valuable resource management and job scheduling tool that has facilitated the transformation. In this regard, efficient resource
Externí odkaz:
https://doaj.org/article/6aa59851ea284a57b7c2c51ea7c24445
Publikováno v:
Journal of Information and Telecommunication, Pp 1-17 (2024)
Due to the Internet of Things (IoT) widespread adoption, data traffic to cloud servers for analysis has surged, impacting IoT system latency. Fog Computing emerged as a solution, bringing processing capabilities closer to data generation points, redu
Externí odkaz:
https://doaj.org/article/7a66d6c2732b422fbf779c86dd8c492c
Publikováno v:
Journal of Communications Software and Systems, Vol 20, Iss 3, Pp 253-265 (2024)
Fog computing has become an attractive computing method for different IoT (Internet of Things) applications that require low latency and location awareness. It provides low latency by bringing computational power closer to the network edge, working a
Externí odkaz:
https://doaj.org/article/ad0225ddd082475faacc24369ff6beec
Autor:
P. Jagadish Kumar, S. Neduncheliyan
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 17, Iss 1, Pp 1-18 (2024)
Abstract Recent advancements in the Internet of Things (IoT) have paved the way for intelligent and sustainable solutions in smart city environments. However, despite these advantages, IoT-connected devices present significant privacy and security ri
Externí odkaz:
https://doaj.org/article/07222c2d701f4fe4884965fd1a9851ad
Autor:
Prateek Yadav, Subrat Kar
Publikováno v:
Journal of Cloud Computing: Advances, Systems and Applications, Vol 13, Iss 1, Pp 1-21 (2024)
Abstract The massive data demand requires content distribution networks (CDNs) to use evolving techniques for efficient content distribution with guaranteed quality of service (QoS). The distributed fog-based CDN model, with optimal fog node placemen
Externí odkaz:
https://doaj.org/article/b09ba4d3a50944bb8793e3a48ec3ea46
Autor:
R. Arthi, S. Krishnaveni
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 17, Iss 1, Pp 1-28 (2024)
Abstract The Internet of things (IoT)-based healthcare decision support system plays a crucial role in modern medicine, especially with the rise in chronic illnesses and an aging population necessitating continuous remote health monitoring. Current h
Externí odkaz:
https://doaj.org/article/081c9cf32524473d8e811659af1ba22c
Autor:
Sadia Saif, Hamayun Khan, Arshad Ali, Sami Albouq, Muhammad Zunnurain Hussain, Muhammad Zulkifl Hasan, Irfan Uddin, Shahab Khan, Mohammad Husain
Publikováno v:
Journal of Mechanics of Continua and Mathematical Sciences, Vol 19, Iss 8, Pp 191-206 (2024)
The dangers that Internet of Things (IoT) devices pose to large corporate corporations and smart districts have been dissected by several academics. Given the ubiquitous use of IoT and its unique characteristics, such as mobility and normalization re
Externí odkaz:
https://doaj.org/article/fe803d49ac2b49bc9f485427dfac2b7a
Publikováno v:
Digital Communications and Networks, Vol 10, Iss 4, Pp 989-1000 (2024)
The Internet of Things (IoT) has taken the interconnected world by storm. Due to their immense applicability, IoT devices are being scaled at exponential proportions worldwide. But, very little focus has been given to securing such devices. As these
Externí odkaz:
https://doaj.org/article/c02c63cd701d425b98abbe3eb3531596
Publikováno v:
International Journal of Electronics and Communications System, Vol 4, Iss 1, Pp 1-17 (2024)
In Industry 4.0, the digital twin (DT) enables users to simulate future states and configurations for prediction, optimization, and estimation. Although the potential of digital twin technology has been demonstrated by its proliferation in traditiona
Externí odkaz:
https://doaj.org/article/1e4d6bf947b24005ab106b45f762a048