Mobility-aware fog computing in dynamic networks with mobile nodes: A survey

Ostrowski, Krzysztof; Małecki, Krzysztof; Dziurzański, Piotr; Singh, Amit Kumar

doi:10.1016/j.jnca.2023.103724

Cited by 14 publications

(2 citation statements)

References 125 publications

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“…FC has been applied to various industries and organizations. Recent innovations in FC, like mobile FC [25], have placed applications in the hands of individual users. Thus, a major novelty of this paper is the application of FC to individual consumers.…”

Section: Study Objectivesmentioning

confidence: 99%

Fog Computing-Based Smart Consumer Recommender Systems

Hornik,

Ofir,

Rachamim

et al. 2024

JTAER

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The latest effort in delivering computing resources as a service to managers and consumers represents a shift away from computing as a product that is purchased, to computing as a service that is delivered to users over the internet from large-scale data centers. However, with the advent of the cloud-based IoT and artificial intelligence (AI), which are advancing customer experience automations in many application areas, such as recommender systems (RS), a need has arisen for various modifications to support the IoT devices that are at the center of the automation world, including recent language models like ChatGPT and Bard and technologies like nanotechnology. This paper introduces the marketing community to a recent computing development: IoT-driven fog computing (FC). Although numerous research studies have been published on FC “smart” applications, none hitherto have been conducted on fog-based smart marketing domains such as recommender systems. FC is considered a novel computational system, which can mitigate latency and improve bandwidth utilization for autonomous consumer behavior applications requiring real-time data-driven decision making. This paper provides a conceptual framework for studying the effects of fog computing on consumer behavior, with the goal of stimulating future research by using, as an example, the intersection of FC and RS. Indeed, our conceptualization of the “fog-based recommender systems” opens many novel and challenging avenues for academic research, some of which are highlighted in the later part of this paper.

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Section: Study Objectivesmentioning

confidence: 99%

Fog Computing-Based Smart Consumer Recommender Systems

Hornik,

Ofir,

Rachamim

et al. 2024

JTAER

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“…The implementation of fog services via the application of the standard is an expanding field, and therefore, as mentioned in this study [29], many articles are case studies or prototypes. That is why they provide a review that identifies and describes five fog computing models that are compatible with the adoption of OpenFog according to the IEEE 1934 standard.…”

Section: Related Workmentioning

confidence: 99%

Architecture for Smart Buildings Based on Fuzzy Logic and the OpenFog Standard

Martín Toral,

Calvo,

Xenakis

et al. 2023

Electronics

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The combination of Artificial Intelligence and IoT technologies, the so-called AIoT, is expected to contribute to the sustainability of public and private buildings, particularly in terms of energy management, indoor comfort, as well as in safety and security for the occupants. However, IoT systems deployed on modern buildings may generate big amounts of data that cannot be efficiently analyzed and stored in the Cloud. Fog computing has proven to be a suitable paradigm for distributing computing, storage control, and networking functions closer to the edge of the network along the Cloud-to-Things continuum, improving the efficiency of the IoT applications. Unfortunately, it can be complex to integrate all components to create interoperable AIoT applications. For this reason, it is necessary to introduce interoperable architectures, based on standard and universal frameworks, to distribute consistently the resources and the services of AIoT applications for smart buildings. Thus, the rationale for this study stems from the pressing need to introduce complex computing algorithms aimed at improving indoor comfort, safety, and environmental conditions while optimizing energy consumption in public and private buildings. This article proposes an open multi-layer architecture aimed at smart buildings based on a standard framework, the OpenFog Reference Architecture (IEEE 1934–2018 standard). The proposed architecture was validated experimentally at the Faculty of Engineering of Vitoria-Gasteiz to improve indoor environmental quality using Fuzzy logic. Experimental results proved the viability and scalability of the proposed architecture.

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A Message Routing Algorithm Based on the Importance of Node Social Relationships in Opportunistic Mobile Networks

Shi,

Zhang,

et al. 2024

Lecture Notes in Computer Science

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Mobility-aware fog computing in dynamic networks with mobile nodes: A survey

Cited by 14 publications

References 125 publications

Fog Computing-Based Smart Consumer Recommender Systems

Fog Computing-Based Smart Consumer Recommender Systems

Architecture for Smart Buildings Based on Fuzzy Logic and the OpenFog Standard

A Message Routing Algorithm Based on the Importance of Node Social Relationships in Opportunistic Mobile Networks

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