Future Trends in Cloud Computing for Efficient Data Management Services
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Shojafar M, et al. Fog computing as an enabler for the Internet of Things. In: Fog Computing in the Internet of Things. Springer; 2017; 53–71.
Gubbi J, et al. Internet of Things (IoT): A vision, architectural elements, and future directions. Future Gener Comput Syst. 2013; 29(7): 1645–1660.
Armbrust M, Fox A, Griffith R, Joseph AD, Katz RH, Konwinski A, Zaharia M. A view of cloud computing. Commun ACM. 2010; 53(4): 50–58.
Gantz J, Reinsel D. Extracting value from chaos. IDC iView. 2011; 1142(2011): 1–12.
Shi W, Cao J, Zhang Q, Li Y, Xu L. Edge computing: Vision and challenges. IEEE Internet Things J. 2016; 3(5): 637–646.
Al-Fuqaha A, Guizani M, Mohammadi M, Aledhari M, Ayyash M. Internet of Things: A survey on enabling technologies, protocols, and applications. IEEE Commun Surv Tutor. 2015; 17(4):
–2376.
Zheng Z, Xie S, Dai HN, Chen X, Wang H. An overview of blockchain technology: Architecture, consensus, and future trends. In IEEE International Congress on Big Data (BigData Congress). 2018; 557–564.
El-Seoud Samir A, et al. Big Data and Cloud Computing: Trends and Challenges. Int J Interact Mob Technol. 2017; 11(2): 34–52.
Rajeswari SVKR, Vijayakumar Ponnusamy. AI-Based IoT analytics on the cloud for diabetic data management system. Integrating AI in IoT Analytics on the Cloud for Healthcare Applications. IGI Global; 2022; 143–161.
Al-Ruithe Majid, et al. Addressing data governance in cloud storage: survey, techniques and trends. J Internet Technol. 2018; 19(6): 1763–1775.
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