The fog computing for internet of things: review, characteristics and challenges, and open issues
Mahmood A. Al-Shareeda,
Abeer Abdullah Alsadhan,
Hamzah H. Qasim
et al.
Abstract:The internet of things (IoT) research envisions a world in which common place objects are linked to the internet and trade, store, process, and gather data from their surroundings. Due to their inherent resource limitations, IoT devices are typically unable to directly host application services, despite their increasing importance for facilitating the supply of data to enable electronic services. Since it can survive and work in tandem with centralized cloud systems and extends the latter toward the network ed… Show more
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.
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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