Fog Computing in IOT: An Overview of New Opportunities

Kaur, Ketanpreet; Sachdeva, Monika

doi:10.1007/978-3-030-30577-2_5

Cited by 15 publications

(5 citation statements)

References 29 publications

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“…), as shown in Figure 3. Since, Fog is a configuration that distributes the communication, computation, storage, and control and carries all the benefits of cloud computing at the Fog/Edge layer to the nearer end users/devices [54], [58], [97]. The Fog computing applications are categorized into two groups; real-time (healthcare, gaming, video streaming, accident prevention, and smart traffic light system) and near real-time (smart city, grid, and vehicle, data retrieval, and traffic flow maintenance) [6,55,98].…”

Section: A Integration Of Iot and Cloud Computingmentioning

confidence: 99%

A Review on the Immediate Advancement of the Internet of Things in Wireless Telecommunications

et al. 2023

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Internet of Things is emerging as an incredible future technology to improve the existing lifestyle from the research community, industry, and the public sector. The main intention of IoT is to create an efficient, interactive, and autonomous infrastructure for a safer and healthier world. Moreover, it grows faster day-to-day with the support of many other technologies, i.e. Cloud computing, Blockchain, Wireless Body Sensor Networks, Nanotechnology, and Artificial Intelligence for smart applications, including healthcare, environment, automotive industries, transportation, agriculture, etc. Nevertheless, managing big data is one of the challenging tasks due to the increased number of devices leading to various serious issues like security, privacy, accuracy, latency, scheduling, etc. Further, specific infrastructures with remarkable techniques are required to analyze the bulk of raw data to progress the quality of life and allow timely intervention through various capabilities, i.e., data capture, unique identification, actuation, communication, data mining, etc. In past literature, numerous reviews/surveys are presented that explore the technologies mentioned above as standalone and application specific. However, this paper aims to integrate all the mentioned technologies and deliver a clear vision to future researchers (newcomers) as a kick-start article to boost up and understand the status of the existing research through a comprehensive review of the Internet of Things and its evolution in wireless telecommunications from a general perspective. The most significant challenges and issues are highlighted to research further in these evolving domains.

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Section: A Integration Of Iot and Cloud Computingmentioning

confidence: 99%

A Review on the Immediate Advancement of the Internet of Things in Wireless Telecommunications

et al. 2023

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“…Additionally, light followers must also disable the offloading function to prevent the system from entering a thrashing state. In a thrashing state, all servers spend time forwarding tasks among themselves without executing their primary functions (Kaur and Sachdeva 2020). The HybOff algorithm avoids this state by employing the "disable" function, which restricts specific and unnecessary servers from forwarding tasks.…”

Section: Sot Policy and Cpdsmentioning

confidence: 99%

HybOff: A Hybrid Offloading Approach to Improve Load Balancing in Fog Networks

Sulimani,

Ramezani

et al. 2023

Preprint

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Load balancing is crucial in distributed systems like fog computing, where efficiency is paramount. Offloading with different approaches is the key to balancing the load in distributed environments. Static offloading (SOS) falls short in heterogeneous networks, necessitating dynamic offloading to reduce latency in time-sensitive tasks. However, prevalent dynamic offloading (DOS) solutions often come with hidden costs that impact sensitive applications, including decision time, networks congested and distance offloading. This paper introduces the Hybrid Offloading (HybOff) algorithm, which substantially enhances load balancing and resource utilization in fog networks, addressing issues in both static and dynamic approaches while leveraging clustering theory. Its goal is to create a uncomplicated low-cost offloading approach that enhances IoT application performance by eliminating the consequences of hidden costs regardless of network size. Experimental results using the iFogSim simulation tool show that HybOff significantly reduces offloading messages, distance, and decision-offloading consequences. It improves load balancing by 97%, surpassing SOS (64%) and DOS (88%). Additionally, it increases system utilization by an average of 50% and enhances system performance 1.6 times and 1.4 times more than SOS and DOS, respectively. In summary, HybOff substantially contributes to load balancing and offloading research in fog computing.

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“…From the work that has been carried out, we can state that the future trend for the development of IoT-based platforms will see a paradigm shift passing from centralized architectures to distributed frameworks, based on the concepts of fog and edge computing, allowing to allocate computational, storage, and control resources to a multi-layer architecture, thus enabling great flexibility and computational power, high speed, and low latency [92,93]. Furthermore, this new approach will provide more services closer to the user, hardly supported by a centralized cloud architecture, opening new scenarios in different application fields such as healthcare, smart cities, home automation, etc.…”

Section: Moustafa Et Al Proposed An Alternativementioning

confidence: 99%

Innovative IoT Solutions and Wearable Sensing Systems for Monitoring Human Biophysical Parameters: A Review

2021

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Digital and information technologies are heavily pervading several aspects of human activities, improving our life quality. Health systems are undergoing a real technological revolution, radically changing how medical services are provided, thanks to the wide employment of the Internet of Things (IoT) platforms supporting advanced monitoring services and intelligent inferring systems. This paper reports, at first, a comprehensive overview of innovative sensing systems for monitoring biophysical and psychophysical parameters, all suitable for integration with wearable or portable accessories. Wearable devices represent a headstone on which the IoT-based healthcare platforms are based, providing capillary and real-time monitoring of patient’s conditions. Besides, a survey of modern architectures and supported services by IoT platforms for health monitoring is presented, providing useful insights for developing future healthcare systems. All considered architectures employ wearable devices to gather patient parameters and share them with a cloud platform where they are processed to provide real-time feedback. The reported discussion highlights the structural differences between the discussed frameworks, from the point of view of network configuration, data management strategy, feedback modality, etc.

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Fog Computing in IOT: An Overview of New Opportunities

Cited by 15 publications

References 29 publications

A Review on the Immediate Advancement of the Internet of Things in Wireless Telecommunications

A Review on the Immediate Advancement of the Internet of Things in Wireless Telecommunications

HybOff: A Hybrid Offloading Approach to Improve Load Balancing in Fog Networks

Innovative IoT Solutions and Wearable Sensing Systems for Monitoring Human Biophysical Parameters: A Review

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