Performance Analysis of Mobile, Edge and Cloud Computing Platforms for Distributed Applications

Alkhalaileh, Mohammad; Calheiros, Rodrigo N.; Nguyễn, Quang Vinh; Javadi, Bahman

doi:10.1007/978-3-030-69893-5_2

Cited by 4 publications

(3 citation statements)

References 38 publications

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“…Digital network devices, even those at the network's edge, have increasingly sophisticated computing capabilities. Therefore, we can utilize their computing power to assist with and, under certain conditions, optimize network performance [56,57]. Moreover, with the advent of AI, these devices will be able to extract information and expertise from the data they communicate with other entities on the network, identifying and categorizing services using learning models.…”

Section: Edge Computing and Pervasive Artificial Intelligencementioning

confidence: 99%

“…In the case of aerial networking, UAVs could be used as relays or even mobile wireless access points when part of the terrestrial network has been compromised or obliterated as a result of a natural disaster. UAVs are well-suited for this application due to their ease of shifting position and establishing a line-of-sight channel with ground devices, as well as their controllability [56]. Due to their low operating altitude, they are classified as a low amplitude platform (LAP), a category that will be supported by 6G standards.…”

Section: Enabling Precision Agriculture In Extremely Remote Locationsmentioning

confidence: 99%

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The Impact of 6G-IoT Technologies on the Development of Agriculture 5.0: A Review

Polymeni,

Plastras,

Skoutas

et al. 2023

Electronics

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Throughout human history, agriculture has undergone a series of progressive transformations based on ever-evolving technologies in an effort to increase productivity and profitability. Over the years, farming methods have evolved significantly, progressing from Agriculture 1.0, which relied on primitive tools, to Agriculture 2.0, which incorporated machinery and advanced farming practices, and subsequently to Agriculture 3.0, which emphasized mechanization and employed intelligent machinery and technology to enhance productivity levels. To further automate and increase agricultural productivity while minimizing agricultural inputs and pollutants, a new approach to agricultural management based on the concepts of the fourth industrial revolution is being embraced gradually. This approach is referred to as “Agriculture 4.0” and is mainly implemented through the use of Internet of Things (IoT) technologies, enabling the remote control of sensors and actuators and the efficient collection and transfer of data. In addition, fueled by technologies such as robotics, artificial intelligence, quantum sensing, and four-dimensional communication, a new form of smart agriculture, called “Agriculture 5.0,” is now emerging. Agriculture 5.0 can exploit the growing 5G network infrastructure as a basis. However, only 6G-IoT networks will be able to offer the technological advances that will allow the full expansion of Agriculture 5.0, as can be inferred from the relevant scientific literature and research. In this article, we first introduce the scope of Agriculture 5.0 as well as the key features and technologies that will be leveraged in the much-anticipated 6G-IoT communication systems. We then highlight the importance and influence of these developing technologies in the further advancement of smart agriculture and conclude with a discussion of future challenges and opportunities.

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Section: Edge Computing and Pervasive Artificial Intelligencementioning

confidence: 99%

Section: Enabling Precision Agriculture In Extremely Remote Locationsmentioning

confidence: 99%

The Impact of 6G-IoT Technologies on the Development of Agriculture 5.0: A Review

Polymeni,

Plastras,

Skoutas

et al. 2023

Electronics

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“…Normalization, ∑ p(n) n = 1 and Pollaczeck-Khinchin (P-K) mean queue length (MQL), < n > = ∑ np(n)} n by Shore [5]. and Server utilization (SU), 1-p(0)} by [6].…”

Section: Introductionmentioning

confidence: 99%

Cosistency Axioms of Choice for Ismail’s Entropy Formalism(IEF) Combined with Information-Theoretic(IT) Applications to advance 6G Networks

A MAGEED

2023

EJT

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An exposition is undertaken to analytically validate the credibility of IEF, by investigating the four axioms of consistency on IEF. More fundamentally, IE is by default the ultimate generalization to most entropy measures in the literature. The current paper also provides some applications of Information Theory to 6G Networks. Additionally, the latter review consolidates more foundational motivations and insights into further employment of information-theoretic advancements to 6G networks. Conclusions, open problems, and future directions are given.

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Methodologies for the Parallelization, Performance Evaluation and Scheduling of Applications for the Cloud-Edge Continuum

Esposito,

Aversa,

Barbierato

et al. 2024

Lecture Notes on Data Engineering and Communications Technologies

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Performance Analysis of Mobile, Edge and Cloud Computing Platforms for Distributed Applications

Cited by 4 publications

References 38 publications

The Impact of 6G-IoT Technologies on the Development of Agriculture 5.0: A Review

The Impact of 6G-IoT Technologies on the Development of Agriculture 5.0: A Review

Cosistency Axioms of Choice for Ismail’s Entropy Formalism(IEF) Combined with Information-Theoretic(IT) Applications to advance 6G Networks

Methodologies for the Parallelization, Performance Evaluation and Scheduling of Applications for the Cloud-Edge Continuum

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