Enhancing Mist Assisted Cloud Computing Toward Secure and Scalable Architecture for Smart Healthcare

Exponential growth and enormous development have made faster and seamless communication possible in the field of information and communication technology between several devices amongst each other. New technological innovations brought up new opportunities over several disciplines such as individual well-being and customized healthcare services. Internet-of-Healthcare Things (IoHT) improved consistently and developed in a steady manner. However, according to unstructured and critical healthcare data nature, higher Quality of Service (QoS) is considered a major challenge over designing such systems for providing faster responses and data-specific complicated analytics services. Considering the mentioned issues, this particular paper aims to provide agenda of a five-layered heterogeneous model with IoHT framework based on cloud, fog, and mist along with the capability of routing offline/batch mode data and efficiently handling either instantaneously or real-time.

[1]  Christopher M. Bishop,et al.  Neural networks for pattern recognition , 1995 .

[2]  Satish Narayana Srirama,et al.  mePaaS: Mobile-Embedded Platform as a Service for Distributing Fog Computing to Edge Nodes , 2016, 2016 17th International Conference on Parallel and Distributed Computing, Applications and Technologies (PDCAT).

[3]  Rabindra K. Barik,et al.  CloudGanga: Cloud Computing Based SDI Model for Ganga River Basin Management in India , 2017, Int. J. Agric. Environ. Inf. Syst..

[4]  Wei Xiang,et al.  Internet of Things for Smart Healthcare: Technologies, Challenges, and Opportunities , 2017, IEEE Access.

[5]  Tao Zhang,et al.  Fog and IoT: An Overview of Research Opportunities , 2016, IEEE Internet of Things Journal.

[6]  Rabindra K. Barik,et al.  Fog2Fog: Augmenting Scalability in Fog Computing for Health GIS Systems , 2017, 2017 IEEE/ACM International Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE).

[7]  Himansu Das,et al.  MistGIS : Optimizing Geospatial Data Analysis Using Mist Computing , 2018 .

[8]  Antonio Pescapè,et al.  Integration of Cloud computing and Internet of Things: A survey , 2016, Future Gener. Comput. Syst..

[9]  Qun Li,et al.  A Survey of Fog Computing: Concepts, Applications and Issues , 2015, Mobidata@MobiHoc.

[10]  Gunasekaran Manogaran,et al.  MetaCloudDataStorage Architecture for Big Data Security in Cloud Computing , 2016 .

[11]  Harishchandra Dubey,et al.  Smart fog: Fog computing framework for unsupervised clustering analytics in wearable Internet of Things , 2017, 2017 IEEE Global Conference on Signal and Information Processing (GlobalSIP).

[12]  Yogesh L. Simmhan,et al.  Demystifying Fog Computing: Characterizing Architectures, Applications and Abstractions , 2017, 2017 IEEE 1st International Conference on Fog and Edge Computing (ICFEC).

[13]  Sudip Misra,et al.  Cloud Computing Applications for Smart Grid: A Survey , 2015, IEEE Transactions on Parallel and Distributed Systems.

[14]  Lei Hu,et al.  Geoprocessing in Cloud Computing platforms – a comparative analysis , 2013, Int. J. Digit. Earth.

[15]  Arun B. Samaddar,et al.  FogGIS: Fog Computing for geospatial big data analytics , 2016, 2016 IEEE Uttar Pradesh Section International Conference on Electrical, Computer and Electronics Engineering (UPCON).

[16]  Harishchandra Dubey,et al.  GeoFog4Health: a fog-based SDI framework for geospatial health big data analysis , 2019, J. Ambient Intell. Humaniz. Comput..

[17]  Antonio Iera,et al.  The Internet of Things: A survey , 2010, Comput. Networks.

[18]  BottaAlessio,et al.  Integration of Cloud computing and Internet of Things , 2016 .

[19]  Rajkumar Buyya,et al.  Fog Computing: Principles, Architectures, and Applications , 2016, ArXiv.

[20]  Rabindra K. Barik,et al.  Hybrid mist-cloud systems for large scale geospatial big data analytics and processing: opportunities and challenges , 2019, Arabian Journal of Geosciences.

[21]  Sateesh Addepalli,et al.  Fog computing and its role in the internet of things , 2012, MCC '12.

[22]  Tzonelih Hwang,et al.  BSN-Care: A Secure IoT-Based Modern Healthcare System Using Body Sensor Network , 2016, IEEE Sensors Journal.

[23]  Chao Yang,et al.  Cloud Computing Enabled Web Processing Service for Earth Observation Data Processing , 2012, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

[24]  Winfried Lamersdorf,et al.  Computing at the Mobile Edge: Designing Elastic Android Applications for Computation Offloading , 2015, 2015 8th IFIP Wireless and Mobile Networking Conference (WMNC).