Importance of Fog Computing in Healthcare 4.0

Kaur, Jasleen; Verma, Richa; Alharbe, Nawaf; Agrawal, Alka; Khan, Raees Ahmad

doi:10.1007/978-3-030-46197-3_4

Cited by 30 publications

(6 citation statements)

References 25 publications

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“…For efficiency and latency reduction in transfer of data to cloud servers, fog servers may be introduced as a middleware [22] 2021 Importance of Fog Computing in Healthcare 4.0…”

Section: Discussionmentioning

confidence: 99%

Healthcare 4.0: recent advancements and futuristic research directions

Gupta

Singh

2022

Wireless Pers Commun

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In recent years, Healthcare 4.0, the fourth healthcare revolution, has piqued the interest of numerous researchers around the world. Healthcare 4.0 is a relatively new term that has evolved from Industry 4.0 to meet diverse requirements in the healthcare domain. Healthcare 4.0 serves as a technological catalyst for accelerated growth by integrating cutting-edge industrial technologies. Despite the evolving nature of Healthcare 4.0 research, a complete and systematic survey of recent research on it has been scarce. Conspicuously, this study intends to present a systematic survey by investigating the recent trends, key constraints, and application areas of Healthcare 4.0. Further, a comprehensive survey of the research is used to identify the essential technologies required for the effective adoption of Healthcare 4.0. The research was conducted using the PRISMA methodology and an exhaustive search of all easily accessible libraries and academic repositories was made to obtain the relevant literature. At last, a diversity of outstanding issues are also presented to assist scholars and professionals who are interested in undertaking futuristic research in the current field.

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“…For efficiency and latency reduction in transfer of data to cloud servers, fog servers may be introduced as a middleware [22] 2021 Importance of Fog Computing in Healthcare 4.0…”

Section: Discussionmentioning

confidence: 99%

Healthcare 4.0: recent advancements and futuristic research directions

Gupta

Singh

2022

Wireless Pers Commun

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“…As a result, such data should not be made public. Furthermore, since the sensing layer is closest to the user, it requires additional protection from external threats [ 206 ]. Personal data on a patient is kept in the storage unit during remote monitoring.…”

Section: Open Research Problems On Emerging Technologies In Healthcar...mentioning

confidence: 99%

Recent Advancements in Emerging Technologies for Healthcare Management Systems: A Survey

et al. 2022

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In recent times, the growth of the Internet of Things (IoT), artificial intelligence (AI), and Blockchain technologies have quickly gained pace as a new study niche in numerous collegiate and industrial sectors, notably in the healthcare sector. Recent advancements in healthcare delivery have given many patients access to advanced personalized healthcare, which has improved their well-being. The subsequent phase in healthcare is to seamlessly consolidate these emerging technologies such as IoT-assisted wearable sensor devices, AI, and Blockchain collectively. Surprisingly, owing to the rapid use of smart wearable sensors, IoT and AI-enabled technology are shifting healthcare from a conventional hub-based system to a more personalized healthcare management system (HMS). However, implementing smart sensors, advanced IoT, AI, and Blockchain technologies synchronously in HMS remains a significant challenge. Prominent and reoccurring issues such as scarcity of cost-effective and accurate smart medical sensors, unstandardized IoT system architectures, heterogeneity of connected wearable devices, the multidimensionality of data generated, and high demand for interoperability are vivid problems affecting the advancement of HMS. Hence, this survey paper presents a detailed evaluation of the application of these emerging technologies (Smart Sensor, IoT, AI, Blockchain) in HMS to better understand the progress thus far. Specifically, current studies and findings on the deployment of these emerging technologies in healthcare are investigated, as well as key enabling factors, noteworthy use cases, and successful deployments. This survey also examined essential issues that are frequently encountered by IoT-assisted wearable sensor systems, AI, and Blockchain, as well as the critical concerns that must be addressed to enhance the application of these emerging technologies in the HMS.

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“…The incoming data are buffered during a re-configuration, waiting for the application to restart to resume processing. These offline times, reduce application availability and increase response latency, a priority for life-critical applications as healthcare monitoring [9]. Finally, several constraints may force the application to a static configuration.…”

Section: Introductionmentioning

confidence: 99%

TransScale: Combined-Approach Elasticity for Stream Processing in Fog Environments

Pagliari,

Pierre

2023

2023 11th IEEE International Conference on Mobile Cloud Computing, Services, and Engineering (MobileCloud)

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Real-time data processing is a standard requirement in Fog Computing. Dynamically adapting data stream processing frameworks is an essential functionality to handle time-varying workloads efficiently and to optimize resource consumption. However, horizontal scaling alone, by adapting the parallelism and number of provisioned nodes, faces limits when available compute resources are scarce. We propose TransScale, a combined-approach auto-scaler that combines horizontal scaling to approximation computing, controlling it through transprecision computing. We design TransScale to make the approximation method transparent to the system and support context-specific requirements through QoS-driven re-configuration decisions. Based on the policy's objective, we show that it can reduce re-configuration occurrences, optimize resource utilization and sustain high workloads in resource-constrained environments.

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Importance of Fog Computing in Healthcare 4.0

Cited by 30 publications

References 25 publications

Healthcare 4.0: recent advancements and futuristic research directions

Healthcare 4.0: recent advancements and futuristic research directions

Recent Advancements in Emerging Technologies for Healthcare Management Systems: A Survey

TransScale: Combined-Approach Elasticity for Stream Processing in Fog Environments

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