S-HIDRA: A blockchain and SDN domain-based architecture to orchestrate fog computing environments

Núñez‐Gómez, Carlos; Carrión, Carmen; Caminero, Blanca; Delicado, Francisco M.

doi:10.1016/j.comnet.2022.109512

Cited by 8 publications

(2 citation statements)

References 36 publications

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“…The latest trend of the computing paradigm is to push elastic resources such as computation, storage, and applications to the edge of networks, and thus to provide a new breed of services and applications to end users with high bandwidth, low latency, and location awareness. For this reason, the IoT-driven fog computing (FC) platform supported by software-defined networking (SDN) [15][16][17] was introduced to bridge the distance and address some of the aforementioned challenges.…”

Section: Fog Computing-based Smart Consumer Recommender Systemsmentioning

confidence: 99%

“…To facilitate new network innovations while drastically simplifying FC network operations, software-defined networks (SDNs) have been developed [16,38]. SDNs, as a software architecture, help to solve the IoT-FC heterogeneity problem, enabling the formation of independent protocols and addressing issues related to restricted hardware and proprietary software [15].…”

Section: Fog Computingmentioning

confidence: 99%

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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: Fog Computing-based Smart Consumer Recommender Systemsmentioning

confidence: 99%

Section: Fog Computingmentioning

confidence: 99%

Fog Computing-Based Smart Consumer Recommender Systems

Hornik,

Ofir,

Rachamim

et al. 2024

JTAER

View full text Add to dashboard Cite

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Out of the fog: fog computing-enabled AI to support smart marketing management

Hornik,

Ofir,

Rachamim

2024

Manag Rev Q

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Marketing and consumer research use a variety of data and electronic measurement devices for research, theory-building, and applied decision-making. Managing data deluge produced by ‘smart devices’ and internet of things (IoT) actuators and sensors is one of the challenges faced by managers when using IoT systems. With the advent of the cloud-based IoT and artificial intelligence, which are advancing a ‘smart world’ and introducing automation in many application areas, such as ‘smart marketing,’ 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 Bart, and technologies like nanotechnology. The article introduces the marketing community to a recent computing development: IoT-driven fog computing (FC)—an emerging concept that decentralizes operations, management, and data into the network utilizing a distributed and federated computing paradigm. Although numerous research studies have been published on ‘smart’ applications, none hitherto have been conducted on fog-based smart marketing. FC is considered a novel computational system, which can mitigate latency and improve bandwidth utilization for autonomous marketing applications requiring real-time processing of ‘big data’ typical of smart marketing ecosystems.

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