Big Data Analytics in Industrial IoT Using a Concentric Computing Model

Rehman, Muhammad Habib ur; Ahmed, Ejaz; Yaqoob, Ibrar; Hashem, Mohamed; Imran, Muhammad; Ahmad, Shafiq

doi:10.1109/mcom.2018.1700632

Cited by 107 publications

(38 citation statements)

References 15 publications

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“…The technological advancements in the Internet of things (IoT) can assist the telehealth sector to monitor a patient's health remotely through precise biomedical sensors [37,38,39,40]. The biomedical sensors can continuously monitor and store health data on a high-performance edge server that helps to analyze the health condition of a patient.…”

Section: F Trustworthy Monitoring Of Elderly Care Servicesmentioning

confidence: 99%

The Role of Blockchain Technology in Telehealth and Telemedicine

Ahmad¹,

Salah²,

Jayaraman³

et al. 2020

Preprint

Self Cite

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<div><b>Objectives: </b>Telehealth and telemedicine systems aim to deliver remote healthcare services to mitigate the spread of COVID‐19. Also, they can help to manage scarce healthcare resources to control the massive burden of COVID-19 patients in hospitals. However, a large portion of today's telehealth and telemedicine systems are centralized and fall short of providing necessary information security and privacy, operational transparency, health records immutability, and traceability to detect frauds related to patients' insurance claims and physician credentials.</div><div><b>Methods: </b>The current study has explored the potential opportunities and adaptability challenges for blockchain technology in telehealth and telemedicine sector. It has explored the key role that blockchain technology can play to provide necessary information security and privacy, operational transparency, health records immutability, and traceability to detect frauds related to patients' insurance claims and physician credentials.</div><div><b>Results: </b>Blockchain technology can improve telehealth and telemedicine services by offering remote healthcare services in a manner that is decentralized, tamper-proof, transparent, traceable, reliable, trustful, and secure. It enables health professionals to accurately identify frauds related to physician educational credentials and medical testing kits commonly used for home-based diagnosis.</div><div><b>Conclusions: </b>Wide deployment of blockchain in telehealth and telemedicine technology is still in its infancy. Several challenges and research problems need to be resolved to enable the widespread adoption of blockchain technology in telehealth and telemedicine systems.</div><div> </div><div><br></div>

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Section: F Trustworthy Monitoring Of Elderly Care Servicesmentioning

confidence: 99%

The Role of Blockchain Technology in Telehealth and Telemedicine

Ahmad¹,

Salah²,

Jayaraman³

et al. 2020

Preprint

Self Cite

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“…The key requirements for IoT analytics architectures are the ability to handle big data problems in terms of different 'v's such as velocity, variety and volume [3,4,5,6,7] in real-time [3,4,6,7,8,13]. While the precise definition of real-time computing is rather subjective and varies depending on the use case [16], we found that in terms of IoT analytics it is closely linked to the value of the information to be derived from data processing.…”

Section: Motivationmentioning

confidence: 99%

“…This includes the integration of historical and real-time data [6,18]. Data transmission and processing must be secure [3,4,6] and the privacy of users concerning their data has to be considered at all times [3,4,8]. Moreover, the data processing capabilities must be scalable [9,10,11,12] and handle input from a multitude of sources [3,6,7].…”

Section: Motivationmentioning

confidence: 99%

A Cloud-based Analytics-Platform for User-centric Internet of Things Domains – Prototype and Performance Evaluation

Zschörnig¹,

Windolph²,

Wehlitz³

et al. 2020

Proceedings of the Annual Hawaii International Conference on System Sciences

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Data analytics have the potential to increase the value of data emitted from smart devices in usercentric Internet of Things environments, such as smart home, drastically. In order to allow businesses and end-consumers alike to tap into this potential, appropriate analytics architectures must be present. Current solutions in this field do not tackle all of the diverse challenges and requirements, which were identified in previous research. Specifically, personalized, extensible analytics solutions, which still offer the means to address big data problems are scarce. In this paper, we therefore present an architectural solution, which was specifically designed to address the named challenges. Furthermore, we offer insights into the prototypical implementation of the proposed concept as well as an evaluation of its performance against traditional big data architectures.

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“…A similar direction of the work has also been carried out by Rahman et al [14] using time-series analysis. Rehman et al [15] have presented a discussion of big data analytics where the authors have presented the significance of concentric computing approach in the presented system. A similar direction of the research work has been carried out by Sun et al [16] with respective to the discussion of analytical operations over the internet of things and big data analytics.…”

Section: Introductionmentioning

confidence: 99%

Framework for cost-effective analytical modelling for sensory data over cloud environment

Bc¹,

Ramesh²

2019

IJECE

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In order to offer sensory data as a service over the cloud, it is necessary to execute a cost-effective and yet precise data analytical logic within the sensing units. However, it is quite questionable as such forms of analytical operation are quite resource dependent which cannot be offered by the resource constraint sensory units. Therefore, the proposed paper introduces a novel approach of performing cost-effective data analytical method in order to extract knowledge from big data over the cloud. The proposed study uses a novel concept of the frequent pattern along with a tree-based approach in order to develop an analytical model for carrying out the mining operation in the large-scale sensor deployment over the cloud environment. Using a simulation-based approach over the mathematical model, the proposed model exhibit reduced mining duration, controlled energy dissipation, and highly optimized memory demands for all the resource constraint nodes.

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Big Data Analytics in Industrial IoT Using a Concentric Computing Model

Cited by 107 publications

References 15 publications

The Role of Blockchain Technology in Telehealth and Telemedicine

The Role of Blockchain Technology in Telehealth and Telemedicine

A Cloud-based Analytics-Platform for User-centric Internet of Things Domains – Prototype and Performance Evaluation

Framework for cost-effective analytical modelling for sensory data over cloud environment

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