Enabling technologies for fog computing in healthcare IoT systems

Edge computing: Vision and challenges

Shi, W., Cao, J., Zhang, Q., Li, Y., & Xu, L. (2016) · IEEE Internet of Things Journal · doi:10.1109/jiot.2016.2579198 · Cited by 8,733 · see citing works

Internet of Things: A Survey on Enabling Technologies, Protocols, and Applications

Al-Fuqaha, A., Guizani, M., Mohammadi, M., Aledhari, M., & Ayyash, M. (2015) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2015.2444095 · Cited by 8,630 · see citing works

Mobile Edge Computing: A Survey

Abbas, N., Zhang, Y., Taherkordi, A., & Skeie, T. (2018) · IEEE Internet of Things Journal · doi:10.1109/jiot.2017.2750180 · Cited by 2,474 · see citing works

Integration of Cloud computing and Internet of Things: A survey

Alessio Botta, B., de Donato, W., Persico, V., & Pescapè, A. (2015) · Future Generation Computer Systems · doi:10.1016/j.future.2015.09.021 · Cited by 2,395 · see citing works

Exploiting smart e-health gateways at the edge of healthcare internet-of-things: a fog computing approach

Rahmani, A. M., Gia, T. N., Negash, B., Anzanpour, A., Azimi, I., Jiang, M., & Liljeberg, P. (2018) · Future Generation Computer Systems · doi:10.1016/j.future.2017.02.014 · Cited by 1,198 · see citing works

A Comprehensive Survey on Fog Computing: State-of-the-Art and Research Challenges

Mouradian, C., Naboulsi, D., Yangui, S., Glitho, R. H., Morrow, M. J., & Polakos, P. A. (2018) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2017.2771153 · Cited by 1,022 · see citing works

Fog Computing: Helping the Internet of Things Realize Its Potential

Dastjerdi, A. V., & Buyya, R. (2016) · Computer · doi:10.1109/mc.2016.245 · Cited by 994 · see citing works

Towards fog-driven IoT eHealth: Promises and challenges of IoT in medicine and healthcare

Farahani, B., Firouzi, F., Chang, V. I. C., Badaroglu, M., Constant, N. P., & Mankodiya, K. (2017) · Future Generation Computer Systems · doi:10.1016/j.future.2017.04.036 · Cited by 991 · see citing works

Survey on fog computing: architecture, key technologies, applications and open issues

Hu, P., Dhelim, S., Ning, H., & Qiu, T. (2017) · Journal of Network and Computer Applications · doi:10.1016/j.jnca.2017.09.002 · Cited by 880 · see citing works

Fog Computing: Platform and Applications

Yi, S., Hao, Z., Qin, Z., & Li, Q. (2015) · 2015 Third IEEE Workshop on Hot Topics in Web Systems and Technologies (HotWeb) · doi:10.1109/hotweb.2015.22 · Cited by 829 · see citing works

Securing Fog Computing for Internet of Things Applications: Challenges and Solutions

Ni, J., Zhang, K., Lin, X., & Shen, X. (2018) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2017.2762345 · Cited by 659 · see citing works

Smart Cities: A Survey on Data Management, Security, and Enabling Technologies

Gharaibeh, A., Salahuddin, M. A., Hussini, S. J., Khreishah, A., Khalil, I., Guizani, M., & Al-Fuqaha, A. (2017) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2017.2736886 · Cited by 628 · see citing works

Fog Computing and Smart Gateway Based Communication for Cloud of Things

Aazam, M., & Huh, E.-N. (2014) · 2014 International Conference on Future Internet of Things and Cloud · doi:10.1109/ficloud.2014.83 · Cited by 620 · see citing works

Fog Computing and the Internet of Things: A Review

Atlam, H. F., Walters, R. J., & Wills, G. B. (2018) · Big Data and Cognitive Computing · doi:10.3390/bdcc2020010 · Cited by 612 · see citing works

Secure Medical Data Transmission Model for IoT-Based Healthcare Systems

Elhoseny, M., Ramírez-González, G., Abu-Elnasr, O., Shawkat‎‎, S. A., Arunkumar, N., & Farouk, A. (2018) · IEEE Access · doi:10.1109/access.2018.2817615 · Cited by 554 · see citing works

On the Integration of Cloud Computing and Internet of Things

Botta, A., de Donato, W., Persico, V., et al. (2014) · International Conference on Future Internet of Things and Cloud (FiCloud) · doi:10.1109/ficloud.2014.14 · Cited by 532 · see citing works

A new architecture of Internet of Things and big data ecosystem for secured smart healthcare monitoring and alerting system

Manogaran, G., Varatharajan, R., Lopez, D., Kumar, P. M., Sundarasekar, R., & Thota, C. (2017) · Future Generation Computer Systems · doi:10.1016/j.future.2017.10.045 · Cited by 512 · see citing works

Industrial Internet: A Survey on the Enabling Technologies, Applications, and Challenges

Li, J., Yu, F. R., Deng, G., Luo, C., Ming, Z., & Yan, Q. (2017) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2017.2691349 · Cited by 472 · see citing works

Fog Computing in Healthcare Internet of Things: A Case Study on ECG Feature Extraction

Gia, T. N., Jiang, M., Rahmani, A.-M., Westerlund, T., Liljeberg, P., & Tenhunen, H. (2015) · doi:10.1109/cit/iucc/dasc/picom.2015.51 · Cited by 448 · see citing works

Edge of Things: The Big Picture on the Integration of Edge, IoT and the Cloud in a Distributed Computing Environment

El‐Sayed, H., Sankar, S., Prasad, M., Puthal, D., Gupta, A., Mohanty, M., & Lin, C. (2017) · IEEE Access · doi:10.1109/access.2017.2780087 · Cited by 436 · see citing works

How Can Edge Computing Benefit From Software-Defined Networking: A Survey, Use Cases, and Future Directions

Baktır, A. C., Özgövde, A., & Ersoy, C. (2017) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2017.2717482 · Cited by 425 · see citing works

Fog Computing Micro Datacenter Based Dynamic Resource Estimation and Pricing Model for IoT

Aazam, M., & Huh, E.-N. (2015) · 2015 IEEE 29th International Conference on Advanced Information Networking and Applications · doi:10.1109/aina.2015.254 · Cited by 365 · see citing works

Fog Orchestration for Internet of Things Services

Wen, Z., Yang, R., Garraghan, P., Lin, T., Xu, J., & Rovatsos, M. (2017) · IEEE Internet Computing · doi:10.1109/mic.2017.36 · Cited by 339 · see citing works

Potentials, trends, and prospects in edge technologies: Fog, cloudlet, mobile edge, and micro data centers

Bilal, K., Khalid, O., Erbad, A., & Khan, S. U. (2018) · Computer Networks · doi:10.1016/j.comnet.2017.10.002 · Cited by 334 · see citing works

From Cloud to Fog Computing: A Review and a Conceptual Live VM Migration Framework

Osanaiye, O. A., Chen, S., Yan, Z., Lu, R., Choo, K. R., & Dlodlo, M. E. (2017) · IEEE Access · doi:10.1109/access.2017.2692960 · Cited by 320 · see citing works

Internet-of-Things and big data for smarter healthcare: From device to architecture, applications and analytics

Firouzi, F., Rahmani, A. M., Mankodiya, K., Badaroglu, M., Merrett, G. V., Wong, P., & Farahani, B. (2017) · Future Generation Computer Systems · doi:10.1016/j.future.2017.09.016 · Cited by 303 · see citing works

A fog computing-based framework for process monitoring and prognosis in cyber-manufacturing

Wu, D., Liu, S., Zhang, L., Terpenny, J. P., Gao, R. X., Kurfess, T. R., & Guzzo, J. A. (2017) · Journal of Manufacturing Systems · doi:10.1016/j.jmsy.2017.02.011 · Cited by 289 · see citing works

End-to-end security scheme for mobility enabled healthcare Internet of Things

Moosavi, S. R., Gia, T. N., Nigussie, E., Rahmani, A. M., Virtanen, S., Tenhunen, H., & Isoaho, J. (2016) · Future Generation Computer Systems · doi:10.1016/j.future.2016.02.020 · Cited by 280 · see citing works

Gait and tremor investigation using machine learning techniques for the diagnosis of Parkinson disease

Abdulhay, E., Arunkumar, N., Narasimhan, K., Elamaran, V., & Venkatraman, V. (2018) · Future Generation Computer Systems · doi:10.1016/j.future.2018.02.009 · Cited by 260 · see citing works

IFCIoT: Integrated Fog Cloud IoT: A novel architectural paradigm for the future Internet of Things

Munir, A., Kansakar, P., & Khan, S. U. (2017) · IEEE Consumer Electronics Magazine · doi:10.1109/mce.2017.2684981 · Cited by 252 · see citing works

A Security Model for Preserving the Privacy of Medical Big Data in a Healthcare Cloud Using a Fog Computing Facility With Pairing-Based Cryptography

Hamid, H. T. B. A. H., Rahman, S. M. M., Hossain, M. S., Almogren, A., & Alamri, A. M. (2017) · IEEE Access · doi:10.1109/access.2017.2757844 · Cited by 242 · see citing works

Cloud-Fog Interoperability in IoT-enabled Healthcare Solutions

Mahmud, R., Koch, F. L., & Buyya, R. (2018) · International Conference on Distributed Computing and Networking (ICDCN) · doi:10.1145/3154273.3154347 · Cited by 233 · see citing works

A Serverless Real-Time Data Analytics Platform for Edge Computing

Nastić, S., Rausch, T., Šćekić, O., Dustdar, S., Gušev, M., Koteska, B., Kostoska, M., Jakimovski, B., Ristov, S., & Prodan, R. (2017) · IEEE Internet Computing · doi:10.1109/mic.2017.2911430 · Cited by 224 · see citing works

Edge Mesh: A New Paradigm to Enable Distributed Intelligence in Internet of Things

Sahni, Y., Cao, J., Zhang, S., & Yang, L. (2017) · IEEE Access · doi:10.1109/access.2017.2739804 · Cited by 221 · see citing works

Health fog: a novel framework for health and wellness applications

Ahmad, M., Amin, M. B., Hussain, S., Kang, B. H., Cheong, T., & Lee, S. (2016) · The Journal of Supercomputing · doi:10.1007/s11227-016-1634-x · Cited by 219 · see citing works

Fog Computing: The Cloud-IoT\/IoE Middleware Paradigm

Aazam, M., & Huh, E. (2016) · IEEE Potentials · doi:10.1109/mpot.2015.2456213 · Cited by 207 · see citing works

FAST: A fog computing assisted distributed analytics system to monitor fall for stroke mitigation

Cao, Y. K., Chen, S., Hou, P., & Brown, D. E. (2015) · IEEE International Conference on Networking, Architecture and Storage (NAS) · doi:10.1109/nas.2015.7255196 · Cited by 199 · see citing works

Wearable IoT sensor based healthcare system for identifying and controlling chikungunya virus

Sood, S. K., & Mahajan, I. (2017) · Computers in Industry · doi:10.1016/j.compind.2017.05.006 · Cited by 186 · see citing works

Neural network and multi-fractal dimension features for breast cancer classification from ultrasound images

Mohammed, M. A., Al‐Khateeb, B., Rashid, A. N., Ibrahim, D. A., Ghani, M. K. A., & Mostafa, S. A. (2018) · Computers & Electrical Engineering · doi:10.1016/j.compeleceng.2018.01.033 · Cited by 180 · see citing works

Improved diagnosis of Parkinson's disease using optimized crow search algorithm

Gupta, D. K., Sundaram, S., Khanna, A. K., Hassanien, A. E., & de Albuquerque, V. H. C. (2018) · Computers & Electrical Engineering · doi:10.1016/j.compeleceng.2018.04.014 · Cited by 180 · see citing works

Service-oriented heterogeneous resource sharing for optimizing service latency in mobile cloud

Nishio, T., Shinkuma, R., Takahashi, T., & Mandayam, N. B. (2013) · doi:10.1145/2492348.2492354 · Cited by 170 · see citing works

HiCH

Azimi, I., Anzanpour, A., Rahmani, A. M., Pahikkala, T., Levorato, M., Liljeberg, P., & Dutt, N. D. (2017) · ACM Transactions on Embedded Computing Systems · doi:10.1145/3126501 · Cited by 170 · see citing works

Anonymous and secure aggregation scheme in fog-based public cloud computing

Wang, H., Wang, Z., & Domingo‐Ferrer, J. (2017) · Future Generation Computer Systems · doi:10.1016/j.future.2017.02.032 · Cited by 162 · see citing works

The fog computing service for healthcare

Shi, Y., Ding, G., Wang, H., et al. (2015) · doi:10.1109/ubi-healthtech.2015.7203325 · Cited by 159 · see citing works

A Container-Based Edge Cloud PaaS Architecture Based on Raspberry Pi Clusters

Pahl, C., Helmer, S., Miori, L., Sanin, J., & Lee, B. (2016) · International Conference on Future Internet of Things and Cloud Workshops (FiCloudW) · doi:10.1109/w-ficloud.2016.36 · Cited by 145 · see citing works

An Internet of Things-based health prescription assistant and its security system design

Hossain, M., Islam, S. M. R., Ali, F., Kwak, K.-S., & Hasan, R. (2017) · Future Generation Computer Systems · doi:10.1016/j.future.2017.11.020 · Cited by 141 · see citing works

Low-cost fog-assisted health-care IoT system with energy-efficient sensor nodes

Gia, T. N., Jiang, M., Sarker, V. K., Rahmani, A. M., Westerlund, T., Liljeberg, P., & Tenhunen, H. (2017) · International Wireless Communications and Mobile Computing Conference (IWCMC) · doi:10.1109/iwcmc.2017.7986551 · Cited by 132 · see citing works

A Fog Based Middleware for Automated Compliance With OECD Privacy Principles in Internet of Healthcare Things

Elmisery, A. M., Rho, S., & Botvich, D. (2016) · IEEE Access · doi:10.1109/access.2016.2631546 · Cited by 123 · see citing works

A novel nonintrusive decision support approach for heart rate measurement

Fernandes, S. L., Gurupur, V. P., Sunder, N. R., et al. (2017) · Pattern Recognition Letters · doi:10.1016/j.patrec.2017.07.002 · Cited by 119 · see citing works

Distributing Computing in the Internet of Things: Cloud, Fog and Edge Computing Overview

Escamilla-Ambrosio, P. J., Rodríguez-Mota, A., Anaya, E. A., Acosta-Bermejo, R., & Salinas-Rosales, M. (2017) · Studies in computational intelligence · doi:10.1007/978-3-319-64063-1_4 · Cited by 119 · see citing works

Hybrid privacy-preserving clinical decision support system in fog–cloud computing

Liu, X., Deng, R. H., Yang, Y., Tran, H. N., & Zhong, S. (2017) · Future Generation Computer Systems · doi:10.1016/j.future.2017.03.018 · Cited by 111 · see citing works

A Fog-Based Healthcare Framework for Chikungunya

Sood, S. K., & Mahajan, I. (2017) · IEEE Internet of Things Journal · doi:10.1109/jiot.2017.2768407 · Cited by 110 · see citing works

E-HAMC: Leveraging Fog computing for emergency alert service

Aazam, M., & Huh, E. (2015) · IEEE International Conference on Pervasive Computing and Communication Workshops (PerCom Workshops) · doi:10.1109/percomw.2015.7134091 · Cited by 108 · see citing works

FAAL: Fog computing-based patient monitoring system for ambient assisted living

Vora, J., Tanwar, S., Tyagi, S., et al. (2017) · IEEE International Conference on e-Health Networking, Applications and Services (Healthcom) · doi:10.1109/healthcom.2017.8210825 · Cited by 106 · see citing works

Health of Things Algorithms for Malignancy Level Classification of Lung Nodules

Rodrigues, M. B., da Nóbrega, R. V. M., Alves, S. S. A., Filho, P. P. R., Duarte, J. B. F., Sangaiah, A. K., & de Albuquerque, V. H. C. (2018) · IEEE Access · doi:10.1109/access.2018.2817614 · Cited by 105 · see citing works

Leveraging Fog Computing for Healthcare IoT

Negash, B., Gia, T. N., Anzanpour, A., Azimi, I., Jiang, M., Westerlund, T., Rahmani, A. M., Liljeberg, P., & Tenhunen, H. (2017) · Springer eBooks · doi:10.1007/978-3-319-57639-8_8 · Cited by 101 · see citing works

Nebula: Distributed Edge Cloud for Data Intensive Computing

Ryden, M., Oh, K., Chandra, A., & Weissman, J. (2014) · IEEE International Conference on Cloud Engineering · doi:10.1109/ic2e.2014.34 · Cited by 94 · see citing works

EHOPES: Data-centered Fog platform for smart living

Li, J., Jin, J., Yuan, D., Palaniswami, M. S., & Moessner, K. (2015) · International Telecommunication Networks and Applications Conference (ITNAC) · doi:10.1109/atnac.2015.7366831 · Cited by 93 · see citing works

Fog Computing for the Internet of Mobile Things: Issues and Challenges

Puliafito, C., Mingozzi, E., & Anastasi, G. (2017) · IEEE International Conference on Smart Computing · doi:10.1109/smartcomp.2017.7947010 · Cited by 92 · see citing works

A new computing environment for collective privacy protection from constrained healthcare devices to IoT cloud services

Elmisery, A. M., Rho, S., & Aborizka, M. A. (2017) · Cluster Computing · doi:10.1007/s10586-017-1298-1 · Cited by 92 · see citing works

Fit: A Fog Computing Device for Speech Tele-Treatments

Monteiro, A., Dubey, H., Mahler, L. A., Yang, Q., & Mankodiya, K. (2016) · IEEE International Conference on Smart Computing · doi:10.1109/smartcomp.2016.7501692 · Cited by 90 · see citing works

On the Deployment of Healthcare Applications over Fog Computing Infrastructure

Akrivopoulos, O., Chatzigiannakis, I., Tselios, C., et al. (2017) · IEEE Annual Computer Software and Applications Conference (COMPSAC) · doi:10.1109/compsac.2017.178 · Cited by 89 · see citing works

Delay Mitigation in Offloaded Cloud Controllers in Industrial IoT

Mubeen, S., Nikolaidis, P., Didic, A., Pei-Breivold, H., Sandström, K., & Behnam, M. (2017) · IEEE Access · doi:10.1109/access.2017.2682499 · Cited by 87 · see citing works

Edge computing in IoT context: Horizontal and vertical Linux container migration

Dupont, C., Giaffreda, R., & Capra, L. (2017) · Global Internet of Things Summit (GIoTS) · doi:10.1109/giots.2017.8016218 · Cited by 86 · see citing works

A real time computer aided object detection of nasopharyngeal carcinoma using genetic algorithm and artificial neural network based on Haar feature fear

Mohammed, M. A., Ghani, M. K. A., Arunkumar, N., Hamed, R. I., Abdullah, M. K., & Burhanuddin, M. A. (2018) · Future Generation Computer Systems · doi:10.1016/j.future.2018.07.022 · Cited by 85 · see citing works

COLLECT: COLLaborativE ConText-aware service oriented architecture for intelligent decision-making in the Internet of Things

García-de-Prado, A., Ortiz, G., & Boubeta-­Puig, J. (2017) · Expert Systems with Applications · doi:10.1016/j.eswa.2017.05.034 · Cited by 84 · see citing works

Small Cell Clustering for Efficient Distributed Fog Computing: A Multi-User Case

Oueis, J., Strinati, E. C., Sardellitti, S., et al. (2015) · IEEE Vehicular Technology Conference · doi:10.1109/vtcfall.2015.7391144 · Cited by 82 · see citing works

Fog Computing

Chen, S., Zhang, T., & Shi, W. (2017) · IEEE Internet Computing · doi:10.1109/mic.2017.39 · Cited by 82 · see citing works

Entropy features for focal EEG and non focal EEG

Arunkumar, N., Kumar, K. R., & Venkataraman, V. (2018) · Journal of Computational Science · doi:10.1016/j.jocs.2018.02.002 · Cited by 80 · see citing works

Solving vehicle routing problem by using improved K-nearest neighbor algorithm for best solution

Mohammed, M. A., Ghani, M. K. A., Hamed, R. I., et al. (2017) · Journal of Computational Science · doi:10.1016/j.jocs.2017.04.012 · Cited by 77 · see citing works

A Secure Microservice Framework for IoT

Lu, D., Huang, D., Walenstein, A., et al. (2017) · IEEE Symposium on Service-Oriented System Engineering (SOSE) · doi:10.1109/sose.2017.27 · Cited by 77 · see citing works

Fog computing in multi-tier data center networks: A hierarchical game approach

Zhang, H., Xiao, Y., Bu, S., Niyato, D. T., Yu, F. R., & Han, Z. (2016) · International Conference on Communications · doi:10.1109/icc.2016.7511146 · Cited by 76 · see citing works

Firework: Big Data Sharing and Processing in Collaborative Edge Environment

Zhang, Q., Zhang, X., Zhang, Q., Shi, W., & Zhong, H. (2016) · IEEE Workshop on Hot Topics in Web Systems and Technologies (HotWeb) · doi:10.1109/hotweb.2016.12 · Cited by 76 · see citing works

Analysis of human tissue densities: A new approach to extract features from medical images

Filho, P. P. R., Rebouças, E. D. S., Marinho, L. B., et al. (2017) · Pattern Recognition Letters · doi:10.1016/j.patrec.2017.02.005 · Cited by 76 · see citing works

Proactive personalized services through fog-cloud computing in large-scale IoT-based healthcare application

He, S., Cheng, B. H., Wang, H., Huang, Y., & Chen, J. (2017) · China Communications · doi:10.1109/cc.2017.8233646 · Cited by 74 · see citing works

A fuzzy logic control in adjustable autonomy of a multi-agent system for an automated elderly movement monitoring application

Mostafa, S. A., Mustapha, A., Mohammed, M. A., Ahmad, M. S., & Mahmoud, M. A. (2018) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2018.02.001 · Cited by 72 · see citing works

A Fog based system model for cooperative IoT node pairing using matching theory

Abedin, S. F., Alam, M. G. R., Tran, N. H. K., & Hong, C. S. (2015) · Asia-Pacific Network Operations and Management Symposium (APNOMS) · doi:10.1109/apnoms.2015.7275445 · Cited by 71 · see citing works

A fog-computing architecture for preventive healthcare and assisted living in smart ambients

Cerina, L., Notargiacomo, S., Paccanit, M. G., & Santambrogio, M. D. (2017) · IEEE International Forum on Research and Technology for Society and Industry (RTSI) · doi:10.1109/rtsi.2017.8065939 · Cited by 70 · see citing works

Computer Aided Solution for Automatic Segmenting and Measurements of Blood Leucocytes Using Static Microscope Images

Abdulhay, E., Mohammed, M. A., Ibrahim, D. A., et al. (2018) · Journal of Medical Systems · doi:10.1007/s10916-018-0912-y · Cited by 68 · see citing works

Artificial neural networks for automatic segmentation and identification of nasopharyngeal carcinoma

Mohammed, M. A., Ghani, M. K. A., Hamed, R. I., Ibrahim, D. A., & Abdullah, M. K. (2017) · Journal of Computational Science · doi:10.1016/j.jocs.2017.03.026 · Cited by 62 · see citing works

Real-time Heart Attack Mobile Detection Service (RHAMDS): An IoT use case for Software Defined Networks

Ali, S., & Ghazal, M. A. (2017) · IEEE Canadian Conference on Electrical and Computer Engineering (CCECE) · doi:10.1109/ccece.2017.7946780 · Cited by 61 · see citing works

Fog-to-cloud Computing (F2C): The key technology enabler for dependable e-health services deployment

Masip‐Bruin, X., Marín‐Tordera, E., Alonso, A., & García, J. (2016) · Annual Mediterranean Ad Hoc Networking Workshop · doi:10.1109/medhocnet.2016.7528425 · Cited by 60 · see citing works

IoT-based fall detection system with energy efficient sensor nodes

Gia, T. N., Tcarenko, I., Sarker, V. K., Rahmani, A. M., Westerlund, T., Liljeberg, P., & Tenhunen, H. (2016) · IEEE Nordic Circuits and Systems Conference (NorCAS) · doi:10.1109/norchip.2016.7792890 · Cited by 60 · see citing works

A Fog-Based Emergency System for Smart Enhanced Living Environments

Nikoloudakis, Y., Panagiotakis, S., Markakis, E., et al. (2016) · IEEE Cloud Computing · doi:10.1109/mcc.2016.118 · Cited by 57 · see citing works

Review on Nasopharyngeal Carcinoma: Concepts, methods of analysis, segmentation, classification, prediction and impact: A review of the research literature

Mohammed, M. A., Ghani, M. K. A., Hamed, R. I., et al. (2017) · Journal of Computational Science · doi:10.1016/j.jocs.2017.03.021 · Cited by 56 · see citing works

Towards a Secure Mobile Edge Computing Framework for Hajj

Rahman, M. A., Hassanain, E., & Hossain, M. S. (2017) · IEEE Access · doi:10.1109/access.2017.2716782 · Cited by 56 · see citing works

Evaluating the Performance of Three Classification Methods in Diagnosis of Parkinson’s Disease

Mostafa, S. A., Mustapha, A., Khaleefah, S. H., et al. (2018) · Advances in intelligent systems and computing · doi:10.1007/978-3-319-72550-5_5 · Cited by 56 · see citing works

Medical warning system based on Internet of Things using fog computing

Azimi, I., Anzanpour, A., Rahmani, A. M., et al. (2016) · International Workshop on Big Data and Information Security (IWBIS) · doi:10.1109/iwbis.2016.7872884 · Cited by 55 · see citing works

Semantic edge computing and IoT architecture for military health services in battlefield

Singh, D., Tripathi, G., Alberti, A. M., & Jara, A. J. (2017) · IEEE Consumer Communications and Networking Conference · doi:10.1109/ccnc.2017.7983103 · Cited by 53 · see citing works

Automatic segmentation and automatic seed point selection of nasopharyngeal carcinoma from microscopy images using region growing based approach

Mohammed, M. A., Ghani, M. K. A., Hamed, R. I., et al. (2017) · Journal of Computational Science · doi:10.1016/j.jocs.2017.03.009 · Cited by 50 · see citing works

Fog Networks in Healthcare Application

Chakraborty, S., Bhowmick, S., Talaga, P. G., et al. (2016) · IEEE International Conference on Mobile Ad-Hoc and Sensor Systems (MASS) · doi:10.1109/mass.2016.065 · Cited by 48 · see citing works

Software-Defined System Support for Enabling Ubiquitous Mobile Edge Computing

Jararweh, Y., Alsmirat, M. A., Al‐Ayyoub, M., Benkhelifa, E., Darabseh, A., Gupta, B. B., & Doulat, A. (2017) · The Computer Journal · doi:10.1093/comjnl/bxx019 · Cited by 47 · see citing works

Using DEVS for modeling and simulating a Fog Computing environment

Etemad, M., Aazam, M., & St‐Hilaire, M. (2017) · 2012 International Conference on Computing, Networking and Communications (ICNC) · doi:10.1109/iccnc.2017.7876242 · Cited by 47 · see citing works

Federated IoT services leveraging 5G technologies at the edge

Farris, I., Orsino, A., Militano, L., Iera, A., & Araniti, G. (2017) · Ad Hoc Networks · doi:10.1016/j.adhoc.2017.09.002 · Cited by 46 · see citing works

Fog computing system for monitoring Mild Dementia and COPD patients - Romanian case study

Fratu, O., Pena, C. M., Crăciunescu, R., & Halunga, S. V. (2015) · International Conference on Telecommunication in Modern Satellite, Cable and Broadcasting Services · doi:10.1109/telsks.2015.7357752 · Cited by 45 · see citing works

Analysis of an electronic methods for nasopharyngeal carcinoma: Prevalence, diagnosis, challenges and technologies

Mohammed, M. A., Ghani, M. K. A., Hamed, R. I., et al. (2017) · Journal of Computational Science · doi:10.1016/j.jocs.2017.04.006 · Cited by 44 · see citing works

A personalized authoritative user-based recommendation for social tagging

Wei, J., Meng, F., & Arunkumar, N. (2018) · Future Generation Computer Systems · doi:10.1016/j.future.2018.03.048 · Cited by 44 · see citing works

Cloud support for large scale e-healthcare systems

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A Demo of IoT Healthcare Application Provisioning in Hybrid Cloud/Fog Environment

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Fog computing: Driving force behind the emergence of edge computing

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Enhancing the capabilities of IoT based fog and cloud infrastructures for time sensitive events

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Enhancing emergency response systems through leveraging crowdsensing and heterogeneous data

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Massive-Scale Automation in Cyber-Physical Systems: Vision & Challenges

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Wearable Internet of Things - from human activity tracking to clinical integration

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Iot based real time trafic control using cloud computing

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Cyber-healthcare cloud computing interoperability using the HL7-CDA standard

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Autonomic Fall Detection System

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Enhancing eHealth smart applications: A Fog-enabled approach

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The Internet of Things Resource Management Challenge

Kliem, A., & Kao, O. (2015) · IEEE International Conference on Data Science and Data Intensive Systems · doi:10.1109/dsdis.2015.21 · Cited by 23 · see citing works

Distributed sensor data computing in smart city applications

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A DDoS prevention scheme for session resumption SEA architecture in healthcare IoT

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From edge to cloud: Design and implementation of a healthcare Internet of Things infrastructure

Masouros, D., Bakolas, I., Tsoutsouras, V., et al. (2017) · International Symposium on Power and Timing Modeling, Optimization and Simulation (PATMOS) · doi:10.1109/patmos.2017.8106984 · Cited by 16 · see citing works

A medical cloud

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Determinants of next generation e-Health network and architecture specifications

Thüemmler, C., Paulin, A., & Lim, A. K. (2016) · IEEE International Conference on e-Health Networking, Applications and Services (Healthcom) · doi:10.1109/healthcom.2016.7749460 · Cited by 13 · see citing works

AZSPM: Autonomic Zero-Knowledge Security Provisioning Model for Medical Control Systems in Fog Computing Environments

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Decision support system for nasopharyngeal carcinoma discrimination from endoscopic images using artificial neural network

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Symbiotic low-power, smart and secure technologies in the age of hyperconnectivity

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State-of-the-art of cloud solutions based on ECG sensors

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Big and Small Data: The Fog

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Personalized Health Tracking with Edge Computing Technologies

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Data driven techniques for neutralizing authentication and integrity issues in cloud

Srinivas, S., Menon, S. L. R., & Kandasamy, K. (2017) · ARPN Journal of Engineering and Applied Sciences · Cited by 3 · see citing works

Healthfog: an ensemble deep learning based smart healthcare system for automatic diagnosis of heart diseases in integrated iot and fog computing environments

Tuli, S., Basumatary, N., Gill, S. S., Kahani, M., Arya, R. C., Wander, G. S., & Buyya, R. (2020) · Future Generation Computer Systems · doi:10.1016/j.future.2019.10.043 · Cited by 669 · see citing works

An exhaustive survey on security and privacy issues in Healthcare 4.0

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A survey on the adoption of blockchain in IoT: challenges and solutions

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Artificial Intelligence and Internet of Things Enabled Disease Diagnosis Model for Smart Healthcare Systems

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A Survey on Security Threats and Countermeasures in Internet of Medical Things (IoMT)

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A blockchain-based fog computing framework for activity recognition as an application to e-healthcare services

Islam, N., Faheem, Y., Din, I. U., Talha, M., Guizani, M., & Khalil, M. (2019) · Future Generation Computer Systems · doi:10.1016/j.future.2019.05.059 · Cited by 154 · see citing works

Remote Health Monitoring Systems for Elderly People: A Survey

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Iotpulse: machine learning-based enterprise health information system to predict alcohol addiction in Punjab (India) using iot and fog computing

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Detection of heart disease employing Recurrent CONVoluted neural networks (Rec-CONVnet) for effectual classification process in smart medical application

Mishra, J., Tiwari, M., Singh, S. T., & Goswami, S. (2022) · 2021 4th International Conference on Recent Trends in Computer Science and Technology (ICRTCST) · doi:10.1109/icrtcst54752.2022.9782009 · Cited by 4 · see citing works

Edubase Cloud: Cloud platform for cloud education

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Cloud in a cloud for cloud education

Yokoyama, S., Yoshioka, N., & Shida, T. (2012) · doi:10.1109/pesos.2012.6225943 · Cited by 5 · see citing works

Green Cloud Computing

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Scalable Problem Localization for Distributed Systems: Principles and Practices

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Scalable Multi-purpose Network Representation for Large Scale Distributed System Simulation

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