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Virtualization and IoT Resource Management: A Survey

Saniya Zahoor, Roohie Naaz Mir
2018 International Journal of Computer Networks And Applications  
Virtualization provides many opportunities for research in IoT since most of the IoT applications are resource constrained.  ...  This paper presents a survey of Virtualization and the Internet of Things. The paper also discusses the role of virtualization in IoT resource management.  ...  The voluminous data in IoT applications has forced the offloading of computations from IoT devices to the Fog devices or cloud platforms.  ... 
doi:10.22247/ijcna/2018/49435 fatcat:oekcoomfvvfm3aihjw4t3dx4tu

Process Automation in an IoT–Fog–Cloud Ecosystem: A Survey and Taxonomy

Hossein Chegini, Ranesh Kumar Naha, Aniket Mahanti, Parimala Thulasiraman
2021 IoT  
This survey aims to review, study, and analyze the automatic functions as a taxonomy to help researchers, who are implementing methods and algorithms for different IoT applications.  ...  The big data and heterogeneity challenges also motivated us to design other automatic components for Fog resiliency, which we address as the third challenge in the ecosystem.  ...  [43] Rahmani and Kanter [63] Institutional Review Board Statement: Not applicable. Informed Consent Statement: Not applicable.  ... 
doi:10.3390/iot2010006 fatcat:nlb2cvotzna4dfctb42eozketa

A Survey of Security Architectures for Edge Computing-Based IoT

Elahe Fazeldehkordi, Tor-Morten Grønli
2022 IoT  
Next, we propose a secure EC-based architecture for IoT applications.  ...  Furthermore, an application scenario of edge computing in IoT is introduced, and the advantages/disadvantages of the scenario based on edge computing and cloud computing are discussed.  ...  Informed Consent Statement: Not applicable. Data Availability Statement: It has been a project together with Fluxloop company. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/iot3030019 fatcat:vxwo2kklxrcb7a4vqzncpx5qwy

Machine Learning Systems for Intelligent Services in the IoT: A Survey [article]

Wiebke Toussaint, Aaron Yi Ding
2020 arXiv   pre-print
Machine learning (ML) technologies are emerging in the Internet of Things (IoT) to provision intelligent services.  ...  This survey moves beyond existing ML algorithms and cloud-driven design to investigate the less-explored systems, scaling and socio-technical aspects for consolidating ML and IoT.  ...  DEPLOYING MACHINE LEARNING IN THE IOT Machine Learning Applications in the IoT Machine learning technologies are used for behavioural profiling, monitoring, prediction, planning and perception in the  ... 
arXiv:2006.04950v3 fatcat:xrjcioqkrrhpvgmwmutiajgfbe

IoT Platform for COVID-19 Prevention and Control: A Survey [article]

Yudi Dong, Yu-Dong Yao
2020 arXiv   pre-print
Specifically, we demonstrate a potential fog-cloud combined IoT platform that can be used in the systematic and intelligent COVID-19 prevention and control, which involves five interventions including  ...  One of the lessons learned from the COVID-19 pandemic is that a long-term system with non-pharmaceutical interventions for preventing and controlling new infectious diseases is desirable to be implemented  ...  We discuss how the recent technological advancements such as fog computing, clouding computing, artificial intelligence, and big data analysis, can be utilized for IoT and COVID-19 applications.  ... 
arXiv:2010.08056v2 fatcat:pk7kdk3wu5etlfpfkpn7br5aam

Deep Learning for IoT Big Data and Streaming Analytics: A Survey [article]

Mehdi Mohammadi, Ala Al-Fuqaha, Sameh Sorour, Mohsen Guizani
2018 arXiv   pre-print
DL implementation approaches on the fog and cloud centers in support of IoT applications are also surveyed. Finally, we shed light on some challenges and potential directions for future research.  ...  In this paper, we provide a thorough overview on using a class of advanced machine learning techniques, namely Deep Learning (DL), to facilitate the analytics and learning in the IoT domain.  ...  The work in [13] by Alsheikh et al. provides a survey of machine learning methods for wireless sensor networks (WSNs).  ... 
arXiv:1712.04301v2 fatcat:kr64lst37rhlfcpaxckgzlozvu

IOT in Smart Cities: A survey

Mehtab Alam
2021 figshare.com  
The aim of performing the survey is to gain better knowledge of IoT and its application in development of smart cities.  ...  A smart system characterized by the interaction between infrastructure, capital, behaviours and cultures, achieved through their integration is used in a smart city.  ...  Based on these functions, a service-oriented middleware that integrates and utilizes the cloud of things (CoT) and fog computing and provides a set of services to support smart city applications was proposed  ... 
doi:10.6084/m9.figshare.14329718.v1 fatcat:ojst4d5tybd4pkd2wvplbajnwy

Key Enabling Technologies for Secure and Scalable Future Fog-IoT Architecture: A Survey [article]

Jianli Pan, Yuanni Liu, Jianyu Wang, Austin Hester
2018 arXiv   pre-print
of Things (IoT) systems and applications.  ...  It is deemed as a paradigm shift from the current centralized cloud computing model and could potentially bring a "Fog-IoT" architecture that would significantly benefit the future ubiquitous Internet  ...  AI AND MACHINE LEARNING FOR FOG-IOT In recent years, AI and machine learning (ML) technologies (Deep Learning [14] in particular) have been widely used in various areas such as speech recognition, image  ... 
arXiv:1806.06188v1 fatcat:6oh6ygyqcngffaxkro5pv2dh4e

IoT Platform for COVID-19 Prevention and Control: A Survey

Yudi Dong, Yu-Dong Yao
2021 IEEE Access  
Specifically, we demonstrate a potential fog-cloud combined IoT platform that can be used in the systematic and intelligent COVID-19 prevention and control, which involves five interventions including  ...  One of the lessons learned from the COVID-19 pandemic is that a long-term system with non-pharmaceutical interventions for preventing and controlling new infectious diseases is desirable to be implemented  ...  However, machine/deep learning requires large computing resources, which is hard to be applied in fog nodes.  ... 
doi:10.1109/access.2021.3068276 pmid:34812390 pmcid:PMC8545211 fatcat:cmbjn3ua3be27cbyfd3tpvjypi

A Survey on IoT Security: Application Areas, Security Threats, and Solution Architectures

Vikas Hassija, Vinay Chamola, Vikas Saxena, Divyansh Jain, Pranav Goyal, Biplab Sikdar
2019 IEEE Access  
INDEX TERMS Internet of Things (IoT), IoT security, blockchain, fog computing, edge computing, machine learning, IoT applications, distributed systems.  ...  Four different technologies, blockchain, fog computing, edge computing, and machine learning, to increase the level of security in IoT are discussed.  ...  in the machine learning.  ... 
doi:10.1109/access.2019.2924045 fatcat:a375yvrpmvaotm6z4hujbgfyam

A Survey on IoT Big Data Analytic Systems: Current and Future

Yuya Sasaki
2021 IEEE Internet of Things Journal  
In this survey, we review current systems that can efficiently analyze IoT data. Existing systems can be categorized into batch and stream processing systems.  ...  The generation of IoT big data means that efficient analytic systems are needed for many application scenarios, for example, to optimize urban planning, solve air pollution problems, and improve business  ...  The IoT is commonly used in current everyday applications, such as in-situ video analysis for security surveillance [1] , [2] , image object tracking [3] , and machine learning for home or industrial  ... 
doi:10.1109/jiot.2021.3131724 fatcat:cgvglkxiavdg3a6uv2zljl4ofm

IoT anomaly detection methods and applications: A survey

Ayan Chatterjee, Bestoun S. Ahmed
2022 Internet of Things  
Ongoing research on anomaly detection for the Internet of Things (IoT) is a rapidly expanding field. This growth necessitates an examination of application trends and current gaps.  ...  In recent publications, we observed a shortage of IoT anomaly detection methodologies, for example, when dealing with the integration of systems with various sensors, data and concept drifts, and data  ...  Acknowledgments This work has been funded by the Knowledge Foundation of Sweden (KKS) through the Synergy Project AIDA -A Holistic AI-driven Networking and Processing Framework for Industrial IoT (Rek:  ... 
doi:10.1016/j.iot.2022.100568 fatcat:pzozfe3dbfd6bl5jnbspb5cjsu

A Survey on Internet of Things (IoT), Industrial IoT (IIoT) and Industry 4.0

Sujit N. Deshpande, Rashmi M. Jogdand
2020 International Journal of Computer Applications  
Finally, paper covers research challenges in IoT and IIoT.  ...  This paper provides an in-detail overview of IoT with its functioning, architecture, applications, middleware framework, protocols, and its integration with other key enabling technologies.  ...  To overcome these constraints IoT applications have to rely more on a cloud for computing and storage purposes.  ... 
doi:10.5120/ijca2020920790 fatcat:7cc7jcnhqzcvlgzxzwjayvtfo4

IoT Architecture Proposal from a Survey of Pedestrian-Oriented Applications

Luís Rosa, Fábio Silva, Cesar Analide
2020 International Conference on Intelligent Environments  
This paper aims to provide a comprehensive overview of an architecture in pedestrian-oriented applications in an IoT environment.  ...  Cloud/Fog servers, protocol communication and IoT devices) and the way they interact are directly correlated in terms of effectiveness and applicability.  ...  This mobile application is specially focused on data collection and on fulfilling the entire Machine Learning pipeline.  ... 
doi:10.3233/aise200040 dblp:conf/intenv/0002SA20 fatcat:nmlblqozsvbvfp3f6ha336xfzq

IoT in Smart Cities: A Survey of Technologies, Practices and Challenges

Abbas Shah Syed, Daniel Sierra-Sosa, Anup Kumar, Adel Elmaghraby
2021 Smart Cities  
This is then followed up by a review of the most prevalent practices and applications in various Smart City domains.  ...  In this paper, we provide a holistic coverage of the Internet of Things in Smart Cities.  ...  Informed Consent Statement: Not applicable. Data Availability Statement: Not applicable. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/smartcities4020024 fatcat:bzflvlmudjg5jmamtsrwep4n5i
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