Fog-Based Smart Healthcare as a Big Data and Cloud Service for Heart Patients Using IoT

Gill, Sukhpal Singh; Arya, Rajesh; Wander, Gurpreet Singh; Buyya, Rajkumar

doi:10.1007/978-3-030-03146-6_161

Cited by 63 publications

(62 citation statements)

References 16 publications

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“…Historically IoT applications have offloaded processing, and persistent storage to cloud services, but the number of "things" grows, these services fail to support demand in real-time IoT devices [59,61]. Intelligent e-health applications are able to monitor the data of the patient in real-time, collecting data from implantable devices and easy to wear forming personal networks [62]. Furthermore, Fog activated IoT systems are adaptable and can change their behaviour according to the state determined by the collected sensor data.…”

Section: Internet Of Things (Iot)mentioning

confidence: 99%

“…The future of the new generation of computer systems depends on the QoS resource management mechanisms, which can identify and meet the QoS requirements of the computer system [9,54]. There are various research challenges [62,[95][96][97] are in effect that prevents the realization Computer Engineering and Intelligent Systems www.iiste.org ISSN 2222-1719 (Paper) ISSN 2222-2863 (Online) Vol. 10, No.7, 2019 of the quality of service effectively.…”

Section: Quality Of Service and Service Level Agreementmentioning

confidence: 99%

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The Emergence of AI and IoT on Cloud Computing: Evolution, Technology, Future Research and Challenges

2019

CEIS

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Cloud computing is being widely promoted as the following paradigms and business solutions to the problems that most enterprise Information Technology (IT). Today it plays an important role in modern society and allows a wide range of applications from the infrastructure of social networks such system must cope with the increasing use of various loads and reflects the dependence of the interaction and community automated computer systems while the satisfactory quality of service (QoS) guarantees. Cloud computing is beneficial to the owner of the company, as it eliminates the need for operators to plan ahead for the provision of resources, enabling organizations to start small and increase the resource only if there is an increased demand for services. To understand the current and future challenges of a system of this type, there is a need to identify the key technology for future applications. This work aims to study the history of computing and identify how the use of Artificial intelligence (AI) and Internet of things (IoT) influence cloud computing in order to solve complex problems in the next generation of computing. In addition, the influence of new paradigms and technologies on Cloud Computing were identified and discussed with future research opportunities and an open challenge stand out. Furthermore, this article also provides a conceptual model for cloud futurologist to explore the influence that paradigms and emerging technologies to the evolution of cloud computing are proposed.

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Section: Internet Of Things (Iot)mentioning

confidence: 99%

Section: Quality Of Service and Service Level Agreementmentioning

confidence: 99%

The Emergence of AI and IoT on Cloud Computing: Evolution, Technology, Future Research and Challenges

2019

CEIS

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“…The diversity of large distributed application means there is a requirement for effective big data analytics mechanisms to process the required data in an efficient manner using innovative data processing techniques [61] [66]. Further, new programming models such as serverless computing enable new patterns of resource consumption, autonomically driven by application utilization.…”

Section: Introductionmentioning

confidence: 99%

Transformative effects of IoT, Blockchain and Artificial Intelligence on cloud computing: Evolution, vision, trends and open challenges

et al. 2019

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Cloud computing plays a critical role in modern society and enables a range of applications from infrastructure to social media. Such system must cope with varying load and evolving usage reflecting societies' interaction and dependency on automated computing systems whilst satisfying Quality of Service (QoS) guarantees. Enabling these systems are a cohort of conceptual technologies, synthesised to meet demand of evolving computing applications. In order to understand current and future challenges of such system, there is a need to identify key technologies enabling future applications. In this study, we aim to explore how three emerging paradigms (Blockchain, IoT and Artificial Intelligence) will influence future cloud computing systems. Further, we identify several technologies driving these paradigms and invite international experts to discuss the current status and future directions of cloud computing. Finally, we proposed a conceptual model for cloud futurology to explore the influence of emerging paradigms and technologies on evolution of cloud computing.

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“…The Fog Computing (FC) and its associated Edge Computing (EC) patterns, like multiaccess EC and cloudlet, are considered as useful methods for tackling the huge amount of data (time‐sensitive and security‐critical) generated by the IoT . Moreover, the FC pattern has been proposed to develop cloud‐oriented applications for IoT ones at the edge network . FC extends the facility of CC from the center to edge networks, and fog backs the integrated application of either edge and cloud resources.…”

Section: Introductionmentioning

confidence: 99%

“…5 Moreover, the FC pattern has been proposed to develop cloud-oriented applications for IoT ones at the edge network. 6 FC extends the facility of CC from the center to edge networks, 7 and fog backs the integrated application of either edge and cloud resources. It also simplifies the IoT-application assignment in the nearness of the data source, therefore decreases the network load and guarantees on-time sending.…”

Section: Introductionmentioning

confidence: 99%

A comprehensive study on managing strategies in the fog environments

Wang

Panpan

Batiha

2019

Trans Emerging Tel Tech

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Although cloud computing application is rising, some unanswered problems still exist because of its inner issues like untrustworthy inactivity, the absence of movement backing, and place awareness. Therefore, fog computing has appeared as a hopeful infrastructure to supply flexible resources at the edge of the network. Fog supplies processing, data, storing, and application amenities to ultimate operators. The management strategies have a great impact on fog computing, such as monitoring and optimizing, the correlated components for improving the performance, availability, security, and any fundamental operational requirement. However, as far as we know, no organized study exists about analyzing their importance in fog environments. This paper provides a detailed survey for covering the current state‐of‐the‐art in fog management. This paper classifies the management strategies into three main categories: data management, energy, and resource. We also presented a few prospects and problems like the suggestions for the upcoming studies in the associated methods requiring to be investigated in fog computing. Moreover, a new paradigm has been ensured by increasing fog functionality and resource consumption. In general, fog management strategies in computing environments still need improvements in the variety of its setting to convert to an on‐request method, decrease the associated overhead, and improve the performance. Therefore, proper management can maintain the least resource consumption, which will finish the extra decrease in energy usage. Therefore, we contribute to provide strong suggestions for future fog computing studies. This paper can handle the pace of publications and propose the outcomes of study and practice as an upcoming route for decision makers in healthcare. In principle, the increase of researchers, scientists and managers' awareness level would increase the managers' good and knowingly behavioral conduct on managing fog environments.

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Fog-Based Smart Healthcare as a Big Data and Cloud Service for Heart Patients Using IoT

Cited by 63 publications

References 16 publications

The Emergence of AI and IoT on Cloud Computing: Evolution, Technology, Future Research and Challenges

The Emergence of AI and IoT on Cloud Computing: Evolution, Technology, Future Research and Challenges

Transformative effects of IoT, Blockchain and Artificial Intelligence on cloud computing: Evolution, vision, trends and open challenges

A comprehensive study on managing strategies in the fog environments

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