Abstract
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.
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References
Atzori L, Iera A, Morabito G (2010) The internet of things: a survey. Comput Netw 54(15):2787–2805
Baker SB, Xiang W, Atkinson I (2017) Internet of things for smart healthcare: technologies, challenges, and opportunities. IEEE Access 5:26521–26544
Botta A, De Donato W, Persico V, Pescape A (2016) Integration of cloud computing and internet of things: a survey. Future Gener Comput Syst 56:684–700
Bishop CM (1995) Neural networks for pattern recognition. Oxford University Press, Oxford
Borthakur D, Dubey H, Constant N, Mahler L, Mankodiya K (2017) Smart fog: fog computing framework for unsupervised clustering analytics in wearable internet of things. In: 2017 5th IEEE global conference on signal and information processing. IEEE, p 15
Dastjerdi AV, Gupta H, Calheiros RN, Ghosh SK, Buyya R (2016) Fog computing: principles, architectures, and applications. In: Internet of things. Morgan Kaufmann, pp 61–75
Barik RK, Misra C, Lenka RK, Dubey H, Mankodiya K (2019) Hybrid mist-cloud systems for large scale geospatial big data analytics and processing: opportunities and challenges. Arab J Geosci 12(2):32
Bonomi F, Milito R, Zhu J, Addepalli S (2012) Fog computing and its role in the internet of things. In: Proceedings of the first edition of the MCC workshop on mobile cloud computing. ACM, p 13–16
Gope P, Hwang T (2015) BSN-care: a secure IoT-based modern healthcare system using body sensor network. IEEE Sens J 16(5):1368–1376
Liyanage M, Chang C, Srirama SN (2016) MEPAAS: mobile-embedded platform as a service for distributing fog computing to edge nodes. In: 2016 17th international conference on parallel and distributed computing, applications and technologies (PDCAT). IEEE, pp 73–80
Chiang M, Zhang T (2006) Fog and IoT: an overview of research opportunities. IEEE Internet Things J 3(6):854–864. https://doi.org/10.1109/JIOT.2016.2584538
Manogaran G, Thota C, Kumar MV (2016) Meta cloud data storage architecture for big data security in cloud computing. Procedia Comput Sci 87:128–133
Orsini G, Bade D, Lamersdorf W (2015) Computing at the mobile edge: designing elastic android applications for computation offloading. In: 2015 8th IFIP wireless and mobile networking conference (WMNC). IEEE, pp 112–119
Barik RK (2017) Cloud Ganga: cloud computing based SDI model for Ganga River basin management in India. Int J Agric Environ Inform Syst (IJAEIS) 8(4):54–71
Barik R, Dubey H, Lenka RK, Mankodiya K, Pratik T, Sharma S (2017) Mistgis: optimizing geospatial data analysis using mist computing. In: International conference on computing analytics and networking (ICCAN 2017). Springer
Bera S, Misra S, Rodrigues JJ (2015) Cloud computing applications for smart grid: a survey. IEEE Trans Parallel Distrib Syst 26(5):1477–1494
Varshney P, Simmhan Y (2017) Demystifying fog computing: characterizing architectures, applications and abstractions. In: 2017 IEEE 1st international conference on fog and edge computing (ICFEC). IEEE, pp 115–124
Barik RK, Dubey H, Mankodiya K, Sasane SA, Misra C (2019) GeoFog4Health: a fog-based SDI framework for geospatial health big data analysis. J Ambient Intell Humanized Comput 10(2):551–567
Yi S, Li C, Li Q (2015) A survey of fog computing: concepts, applications and issues. In: Proceedings of the 2015 workshop on mobile big data. ACM, pp 37–42
Yue P, Zhou H, Gong J, Hu L (2013) Geoprocessing in cloud computing platforms—a comparative analysis. Int J Digit Earth 6(4):404–425
Chen Z, Chen N, Yang C, Di L (2012) Cloud computing enabled web processing service for earth observation data processing. IEEE J Sel Top Appl Earth Obs Remote Sens 5(6):1637–1649
Barik RK, Dubey H, Samaddar AB, Gupta RD, Ray PK (2016) FogGIS: fog computing for geospatial big data analytics. In: 2016 IEEE Uttar Pradesh section international conference on electrical, computer and electronics engineering (UPCON), pp 613–618
Barik R, Dubey H, Sasane S, Misra C, Constant N, Mankodiya K (2017) Fog2Fog: augmenting scalability in fog computing for health GIS systems. In: 2017 IEEE/ACM international conference on connected health: applications, systems and engineering technologies (CHASE), pp 241–242
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Dutta, A., Misra, C., Barik, R.K., Mishra, S. (2021). Enhancing Mist Assisted Cloud Computing Toward Secure and Scalable Architecture for Smart Healthcare. In: Hura, G.S., Singh, A.K., Siong Hoe, L. (eds) Advances in Communication and Computational Technology. ICACCT 2019. Lecture Notes in Electrical Engineering, vol 668. Springer, Singapore. https://doi.org/10.1007/978-981-15-5341-7_116
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