Analyzing the Internet of Things and Cloud Computing
DOI:
https://doi.org/10.35290/ro.v3n1.2022.535Keywords:
Cloud computing, Iaas, Paas, Saas, Internet of things, sensorsAbstract
This article presents a study of 2 new technologies that have been growing by leaps and bounds in recent years, one of them is the Internet of Things (IoT), which allows users to connect billions of smart machines and exchange information, monitor and control services, such as interconnected home automation systems, health care, agriculture, security monitoring, power grids or critical services. The other is Cloud Computing, which refers to the access, configuration and operation of resources in remote locations.
It is proposed to make an analysis of what IoT is and what it offers in the different sensors that exist, likewise, analyze the services offered by Cloud Computing, and what results will be obtained if these 2 new technologies are integrated, allowing them to work together, thereby achieving the generation of new applications, new areas of research and finally what everyone is interested in, how to facilitate human life through the use of these technologies. Concluding that the combination of IoT and Cloud Computing could build an IT superpower that will create technologies that are currently unimaginable and new fields of research that will benefit humanity.
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Aazam, M., Khan, I., Alsaffar, A. A. y Huh, E.-N. (2014). Cloud of Things: Integrating Internet of Things and cloud computing and the issues involved. En 2014 11th International Bhurban Conference on Applied Sciences and Technology (IBCAST). IEEE. https://doi.org/10.1109/ibcast.2014.6778179
Aguzzi, S., Bradshaw, D., Canning, M., Cansfield, M., Carter, P., Cattaneo, G., & Stevens, R. (2013). Definition of a research and innovation policy leveraging cloud computing and IoT combination. Final Report, European Commission, SMART, 37, 2013.
Alzakholi, O., Haji, L., Shukur, H., Zebari, R., Abas, S. y Sadeeq, M. (2020). Comparison Among Cloud Technologies and Cloud Performance. Journal of Applied Science and Technology Trends, 1(2), 40–47. https://doi.org/10.38094/jastt1219
Armbrust, M., Fox, A., Griffith, R., Joseph, A. D., Katz, R., Konwinski, A., Lee, G., Patterson, D., Rabkin, A., Stoica, I. y Zaharia, M. (2010). A view of cloud computing. Communications of the ACM, 53(4), 50–58. https://doi.org/10.1145/1721654.1721672
Atzori, L., Iera, A., & Morabito, G. (2010). The internet of things: A survey. Computer networks, 54(15), 2787-2805. https://doi.org/10.1016/j.comnet.2010.05.010
Chengen Wang, Zhuming Bi y Li Da Xu. (2014). IoT and Cloud Computing in Automation of Assembly Modeling Systems. IEEE Transactions on Industrial Informatics, 10(2), 1426–1434. https://doi.org/10.1109/tii.2014.2300346
Dores, C., Reis, L. P., & Lopes, N. V. (2014). Internet of things and cloud computing. In 2014 9th Iberian Conference on Information Systems and Technologies (CISTI) (pp. 1-4). IEEE. DOI: 10.1109/CISTI.2014.6877071
Doukas, C., & Maglogiannis, I. (2012). Bringing IoT and cloud computing towards pervasive healthcare. In 2012 Sixth International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing (pp. 922-926). IEEE. DOI: 10.1109/IMIS.2012.26
Emeras, J., Varrette, S., Plugaru, V. y Bouvry, P. (2019). Amazon Elastic Compute Cloud (EC2) versus In-House HPC Platform: A Cost Analysis. IEEE Transactions on Cloud Computing, 7(2), 456–468. https://doi.org/10.1109/tcc.2016.2628371
Godse, M., & Mulik, S. (2009,). An approach for selecting software-as-a-service (SaaS) product. In 2009 IEEE International Conference on Cloud Computing (pp. 155-158). IEEE.
Gubbi, J., Buyya, R., Marusic, S., & Palaniswami, M. (2013). Internet of Things (IoT): A vision, architectural elements, and future directions. Future generation computer systems, 29(7), 1645-1660. https://doi.org/10.1016/j.future.2013.01.010
Held, C., Krumm, J., Markel, P. y Schenke, R. P. (2012). Intelligent Video Surveillance. Computer, 45(3), 83–84. https://doi.org/10.1109/mc.2012.97
Hu, Q.-H., Zhang, S., & Han, Y. (2017). Research of Smart Home Service Platform Based on Mobile Cloud. DEStech Transactions on Engineering and Technology Research, (sste). https://doi.org/10.12783/dtetr/sste2016/6503
Hwang, K., Dongarra, J. y Fox, G. C. (2013). Distributed and cloud computing: from parallel processing to the internet of things. Morgan Kaufmann.
Jadeja, Y., & Modi, K. (2012). Cloud computing-concepts, architecture and challenges. In 2012 International Conference on Computing, Electronics and Electrical Technologies (ICCEET) (pp. 877-880). IEEE.
Kamilaris, A., Pitsillides, A., & Trifa, V. (2011). The smart home meets the web of things. International Journal of Ad Hoc and Ubiquitous Computing, 7(3), 145-154. https://doi.org/10.1504/ijahuc.2011.040115
Mitton, N., Papavassiliou, S., Puliafito, A., & Trivedi, K. S. (2012). Combining Cloud and sensors in a smart city environment. EURASIP journal on Wireless Communications and Networking, 2012(1), 1-10. https://doi.org/10.1186/1687-1499-2012-247
Perera, C., Zaslavsky, A., Christen, P., & Georgakopoulos, D. (2013). Context aware computing for the internet of things: A survey. IEEE communications surveys & tutorials, 16(1), 414-454. https://doi.org/10.1109/surv.2013.042313.00197
Rajan, R. A. P. (2012). Evolution of Cloud Storage as Cloud Computing Infrastructure Service. IOSR Journal of Computer Engineering, 1(1), 38–45. https://doi.org/10.9790/0661-0113845
Wu He, Gongjun Yan., & Li Da Xu. (2014). Developing Vehicular Data Cloud Services in the IoT Environment. In IEEE Transactions on Industrial Informatics, 10(2), 1587–1595. https://doi.org/10.1109/tii.2014.2299233
Zhang, Q., Cheng, L., & Boutaba, R. (2010). Cloud computing: state-of-the-art and research challenges. Journal of Internet Services and Applications, 1(1), 7–18. https://doi.org/10.1007/s13174-010-0007-6
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