Cloud Computing And Health Case Ieee Papaers 2017 PdfBy raven F. In and pdf 23.03.2021 at 18:49 3 min read
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- Fog computing in health management processing systems
- JMIR Publications
- Internet of things based distributed healthcare systems: a review
Factor analysis is used to summarize the information contained in the original items into a smaller set of new dimensions and Quartile analysis is suggested to determine the most critical items.
Silva, Gibeon S. Melo, Dannylo J. In this context, approaches based on Cloud Computing have been used to store and process the information generated in these solutions. However, using Cloud can create delays that are intolerable for medical applications.
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Currently, technology greatly benefits the area of healthcare. Modern computers can quickly process a large volume of patient health records. Due to recent advances in the area of Internet of Things and healthcare, patient data can be dispersed in multiple locations. As a result, scientists have been proposing solutions based on Cloud Computing to manage healthcare data. However, suchs solutions present challenges regarding access latency, context-awareness, and large volumes of data.
There is an increased probability of processing and transmission errors are more likely to occur as health data sets become larger and more complex. In this context, Fog Computing presents itself as an alternative to reduce health data management complexity, consequently increasing its reliability.
To that end, it is important to comprehend the associated challenges before defining a Fog Computing-based architecture to manage healthcare data. This article presents a systematic literature review of fog computing being applied to healthcare area. We propose a taxonomy to explore the open issues and most important challenges on these fields of study. We selected scientific articles published in the last 10 years, filtering the 44 most significant works for an in-depth analysis.
We found that there is several challenges to be addressed such as interoperability, privacy, security, data processing, management of resources and Big Data issues.
Also, our contribution include developing a taxonomy for the Fog Computing and healthcare fields of study and finding out challenges and open questions of this area. This is a preview of subscription content, access via your institution. Rent this article via DeepDyve. Iot-based healthcare applications: A review. In: International conference on computational science and its applications, pp 47— Edge-of-things computing framework for cost-effective provisioning of healthcare data.
J Parallel Distr Comput ;— Verma P, Sood SK. Cloud-centric iot based disease diagnosis healthcare framework. J Parallel Distr Comput ;— Fog computing in healthcare internet of things: A case study on ecg feature extraction. Mell P, Grance T, et al. The nist definition of cloud computing. Commun ACM ;53 6 Google Scholar. Fog computing in healthcare—a review and discussion.
IEEE Access ;— Internet of health things: Toward intelligent vital signs monitoring in hospital wards. Artif Intell Med ;— A comprehensive survey on fog computing: State-of-the-art and research challenges.
Fog computing approach for mobility support in internet-of-things systems. Fog computing and its role in the internet of things. In: MCC workshop mobile cloud comput. New York. A new layered architecture for future big data-driven smart homes. IEEE Access. Integrating iot and fog computing for healthcare service delivery. Components and services for iot platforms: Paving the way for iot standards. Cham: Springer International Publishing; The internet of things for basic nursing care — a scoping review.
Int J Nursing Stud ;— Cloud computing and emerging it platforms: Vision, hype, and reality for delivering computing as the 5th utility. Future Gener Comput Syst ;25 6 — Finding your way in the fog: Towards a comprehensive definition of fog computing.
Fog computing conceptual model. Technical report NIST. Fog computing for healthcare 4. Comput Elect Eng ;— Towards fog-driven iot ehealth: Promises and challenges of iot in medicine and healthcare. Futur Gener Comput Syst ;— Survey on fog computing: Architecture, key technologies, applications and open issues. J Netw Comput Appl ;— Fog networks in healthcare application. Budgen D, Brereton P. Performing systematic literature reviews in software engineering.
In: Proceedings of the 28th international conference on Software engineering, pp — Technical Report ES ; 05 Kitchenham B. Procedure for undertaking systematic reviews. Guidelines for performing systematic literature reviews in software engineering. Roberts H, Petticrew M. Systematic reviews in the social sciences. Blackwell Pub;. Sood SK, Mahajan I. A fog-based healthcare framework for chikungunya. A new architecture of internet of things and big data ecosystem for secured smart healthcare monitoring and alerting system.
Exploiting smart e-health gateways at the edge of healthcare internet-of-things: A fog computing approach. Bhatia M, Sood SK. Exploring temporal analytics in fog-cloud architecture for smart office healthcare. Mobile Networks and Applications, 1— Fog assisted-iot enabled patient health monitoring in smart homes. Klonoff DC. Fog computing and edge computing architectures for processing data from diabetes devices connected to the medical internet of things.
J Diabetes Sci Technol ;11 4 — Moore P, Van Pham H. Fog computing and low latency context-aware health monitoring in smart interconnected environments. Fog-cloud based cyber-physical system for distinguishing, detecting and preventing mosquito borne diseases. Future Generation Computer Systems. Hybrid privacy-preserving clinical decision support system in fog—cloud computing. Geofog4health: A fog-based sdi framework for geospatial health big data analysis. J Ambient Intell Humaniz Comput ;— Mist data: Leveraging mist computing for secure and scalable architecture for smart and connected health.
Proc Comput Sci ;— From edge to cloud: Design and implementation of a healthcare internet of things infrastructure. A fog-computing architecture for preventive healthcare and assisted living in smart ambients. A new computing environment for collective privacy protection from constrained healthcare devices to iot cloud services.
Clust Comput ;— A security model for preserving the privacy of medical big data in a healthcare cloud using a fog computing facility with pairing-based cryptography. A serverless real-time data analytics platform for edge computing. An architecture for smart health monitoring system based. Journal of Communications, 12 4. An intelligent and secure system for predicting and preventing zika virus outbreak using fog computing.
Enterprise Inf Syst ;11 9 — Ungurean I, Brezulianu A. An internet of things framework for remote monitoring of the healthcare parameters. Adv Elect Comput Eng ;17 2 — An iot based robust healthcare model for continuous health monitoring.
Fog computing in health management processing systems
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Internet Computing pp Cite as. Cloud computing is an evolution of information technology and a dominant business model for delivering IT resources. With cloud computing, individuals and organizations can gain on-demand network access to a shared pool of managed and scalable IT resources, such as servers, storage, and applications. Recently, academics as well as practitioners have paid a great deal of attention to cloud computing. We rely heavily on cloud services in our daily lives, e. Cloud computing also provides the infrastructure that has powered key digital trends such as mobile computing, the Internet of Things, big data, and artificial intelligence, thereby accelerating industry dynamics, disrupting existing business models, and fueling the digital transformation.
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Developing a smart city to better support growing urban population is a global and complex challenge and involve interdisciplinary fields. A smart city uses digital technologies to enhance performance and wellbeing, to reduce costs and resource consumption, and to connect its communities and engage more effectively and actively with its citizens. Key 'smart' sectors include transportation, cloud computing, networking, smart building, energy, health care, and water systems. A smart city should be able to respond faster to city and global challenges than one with a simple 'transactional' relationship with its citizens. This symposium is to bring together computer scientists, industrial engineers and researchers to discuss and exchange experimental or theoretical results, novel designs, work-in-progress, experience, case studies, and trend- setting ideas in the area of smart city include all aspects of smart city with emphasis on algorithms, systems, models, architectures, tools, design methodologies, test and applications.
To strengthen healthcare industry, lot of research work is being done to explore new, accurate and efficient technology for healthcare industry that can monitor and keep track of health of patients in everyday life or in case of accidents and emergencies. Internet of Things based distributed healthcare system interconnects various medical resources using IoT, distributed databases and distributed DBMSs to provide reliable, effective and smart healthcare service to the elderly and patients with a chronic illness.
Internet of things based distributed healthcare systems: a review
Doctoral Consortium submission deadline: February 14, February 19, extended. Notification to authors and registration opening: March 15, Camera-ready copy deadline for all paper types: April 7,
With the continuous development of the internet and the explosive growth in data, big data technology has emerged. With its ongoing development and application, cloud computing technology provides better data storage and analysis. The development of cloud health care provides a more convenient and effective solution for health. Studying the evolution of knowledge and research hotspots in the field of cloud health care is increasingly important for medical informatics.
Currently, technology greatly benefits the area of healthcare. Modern computers can quickly process a large volume of patient health records. Due to recent advances in the area of Internet of Things and healthcare, patient data can be dispersed in multiple locations. As a result, scientists have been proposing solutions based on Cloud Computing to manage healthcare data. However, suchs solutions present challenges regarding access latency, context-awareness, and large volumes of data. There is an increased probability of processing and transmission errors are more likely to occur as health data sets become larger and more complex.
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Fog computing FC is a new field of research and has emerged as a complement to the cloud, which can mitigate the problems inherent to the cloud computing CC and internet of things IoT model such as unreliable latency, bandwidth constraints, security and mobility.