Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Ibrahim Attiya"'
Publikováno v:
AIMS Mathematics, Vol 9, Iss 1, Pp 847-867 (2024)
Applications for the internet of things (IoT) have grown significantly in popularity in recent years, and this has caused a huge increase in the use of cloud services (CSs). In addition, cloud computing (CC) efficiently processes and stores generated
Externí odkaz:
https://doaj.org/article/8e50060877694daba3fd8608989737cd
Publikováno v:
IEEE Access, Vol 9, Pp 131625-131636 (2021)
Features Selection (FS) techniques have been applied to several real-world applications which contain high dimension data. These FS techniques have main objectives that aim to achieve them, such as removing irrelevant features and increasing classifi
Externí odkaz:
https://doaj.org/article/8960ba0a9fd7411b88376f11a4035ea1
Publikováno v:
Mathematics, Vol 10, Iss 11, p 1894 (2022)
This paper presents a novel dynamic Jellyfish Search Algorithm using a Simulated Annealing and disruption operator, called DJSD. The developed DJSD method incorporates the Simulated Annealing operators into the conventional Jellyfish Search Algorithm
Externí odkaz:
https://doaj.org/article/26b43b121cc5428ba50f7115fdf9e293
Publikováno v:
Mathematics, Vol 10, Iss 7, p 1100 (2022)
The cloud computing paradigm is evolving rapidly to address the challenges of new emerging paradigms, such as the Internet of Things (IoT) and fog computing. As a result, cloud services usage is increasing dramatically with the recent growth of IoT-b
Externí odkaz:
https://doaj.org/article/b6681ebc4b9e4bb2adbc747a92f6c1d6
Publikováno v:
IEEE Transactions on Industrial Informatics. 18:6264-6272
Publikováno v:
Future Generation Computer Systems. 124:142-154
Cloud-fog computing frameworks are emerging paradigms developed to add benefits to the current Internet of Things (IoT) architectures. In such frameworks, task scheduling plays a key role, and the optimized schedule of IoT task requests can improve s
Autor:
Mohamed Abd Elaziz, Ibrahim Attiya
Publikováno v:
Artificial Intelligence Review. 54:3599-3637
In cloud computing, task scheduling plays a major role and the efficient schedule of tasks can increase the cloud system efficiency. To successfully meet the dynamic requirements of end-users’ applications, advanced scheduling techniques should be
Autor:
Ahmed M. Khedr, Ibrahim Attiya
Publikováno v:
The 5th International Conference on Future Networks & Distributed Systems.
Publikováno v:
Computational Intelligence and Neuroscience
Computational Intelligence and Neuroscience, Vol 2021 (2021)
Computational Intelligence and Neuroscience, Vol 2021 (2021)
Instead of the cloud, the Internet of things (IoT) activities are offloaded into fog computing to boost the quality of services (QoSs) needed by many applications. However, the availability of continuous computing resources on fog computing servers i
Publikováno v:
Computational Intelligence and Neuroscience
Computational Intelligence and Neuroscience, Vol 2020 (2020)
Computational Intelligence and Neuroscience, Vol 2020 (2020)
In recent years, cloud computing technology has attracted extensive attention from both academia and industry. The popularity of cloud computing was originated from its ability to deliver global IT services such as core infrastructure, platforms, and