Software reliability in the fog computing

Popenţiu-Vlădicescu, Florin; Albeanu, Grigore

doi:10.1109/icieect.2017.7916578

Cited by 9 publications

(6 citation statements)

References 13 publications

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“…Failures of sensors, as the main adverse events in perception, are identified in three categories: noncompliance with the expected function (such as for battery power, latency, 45 ) sensor malfunction, and erroneous sensor information. 46 Mahmood and Seah also highlight three types of failures of sensor networks, including distortions due to multi-path propagation generates, radiated electromagnetic interference and the electromagnetic interference arising from different devices and processes. 47 Gawanmeh propose several measures for evaluating the failures of wireless body sensors, such as bit-error rate, signal to noise ratio, and packet loss, 48 while Arfaoui et al propose a two-level and adaptive anomaly approach to detect false alarms caused by faulty measurements in a wireless body area network.…”

Section: Hazard and Adverse Event Identificationmentioning

confidence: 99%

Risk management of smart healthcare systems: Delimitation, state-of-arts, process, and perspectives

Liu

2022

Journal of Patient Safety and Risk Management

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Sensing, communication, computation, and control technologies are facilitating smart healthcare to improve efficiency and effectiveness of medical treatment and care. This study focuses on the risk issues relevant with the adverse events where novel technical systems do not serve as expected. We discuss the unique challenges, define the scope of risk management in healthcare and review the state-of-art research on diverse topics under the framework widely used in risk management. Then, we present a systematic approach to identify the hazards to patients and other asset of interest in the perception, cyber communication, and execution of smart technologies and their operational contexts. We also investigate different methods for scenario, likelihood, and consequence analyses for specifying the risks of adverse events, and categorize the approaches of risk reduction, as the main strategy of treating risks of smart healthcare systems, into four groups of design, operation, organization, and legislation. At the last, the article proposes some research perspectives responding to the developing trend of smart healthcare.

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Section: Hazard and Adverse Event Identificationmentioning

confidence: 99%

Risk management of smart healthcare systems: Delimitation, state-of-arts, process, and perspectives

Liu

2022

Journal of Patient Safety and Risk Management

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“…Due to being located outside of well-protected service providers network, Fog nodes may encounter additional security and trust issues [33]. Likewise, reliability and fault tolerance related challenges and solutions for Fog nodes are currently heavily researched [34], [35].…”

Section: Edge and Fog Computingmentioning

confidence: 99%

Architectural Resilience in Cloud, Fog and Edge Systems: A Survey

Prokhorenko

Babar

2020

IEEE Access

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An increasing number of large-scale distributed systems are being built by incorporating Cloud, Fog, and Edge computing. There is an important need of understanding how to ensure the resilience of systems built using Cloud, Fog, and Edge computing. This survey reports the state-of-the-art of architectural approaches that have been reported for ensuring the resilience of Cloud-, Fog-and Edge-based systems. This work reports a flexible taxonomy for reviewing architectural resilience approaches for distributed systems. In addition, this work also presents a capability-based cyber-foraging framework intended to improve the overall system resilience in the context of a physical node's capabilities. This survey also highlights the trust-related issues and solutions in the context of system resilience and reliability. This survey will help improve the understanding of the current state of system resilience solutions and raise awareness about the issues related to physical capabilities and trust management in the context of distributed systems resilience.

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“…It extends services of the cloud to the end user and processed IoT generated data . Fog computing combines mobile cloud computing and mobile edge computing to support IoT applications [40]. Both edge and fog computing extend the services of cloud computing in proximity to the end user [41].Edge and fog computing is more interchangeable term but fog computing focus on infrastructure side while edge computing focus towards things [42].…”

Section: • Fog Computingmentioning

confidence: 99%

Fog Computing, Applications, Security and Challenges, Review

Rahman

Wen

2018

IJET

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The internet of things originates a world where on daily basis objects can join the internet and interchange information and in addition process, store, gather them from the nearby environment, and effectively mediate on it. A remarkable number of services might be imagined by abusing the internet of things. Fog computing which is otherwise called edge computing was introduced in 2012 as a considered is a prioritized choice for the internet of things applications. As fog computing extend services of cloud near to the edge of the network and make possible computations, communications, and storage services in proximity to the end user. Fog computing cannot only provide low latency, location awareness but also enhance real-time applications, quality of services, mobility, security and privacy in the internet of things applications scenarios. In this paper, we will summarize and overview fog computing model architecture, characteristic, similar paradigm and various applications in real-time scenarios such as smart grid, traffic control system and augmented reality. Finally, security challenges are presented.

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Software reliability in the fog computing

Cited by 9 publications

References 13 publications

Risk management of smart healthcare systems: Delimitation, state-of-arts, process, and perspectives

Risk management of smart healthcare systems: Delimitation, state-of-arts, process, and perspectives

Architectural Resilience in Cloud, Fog and Edge Systems: A Survey

Fog Computing, Applications, Security and Challenges, Review

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