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Cloud sans server architecture for sustainable development in smart cities: Indian perspective

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Abstract

Cloud computing can provide remote access to computing services to achieve sustainability in smart cities. The fundamental requirements of smart cities, including low latency, accessibility, location recognition, bandwidth reduction, and geo-distributed existence, cannot be successfully and efficiently met by traditional methods. End users can access the cloud without a server courtesy of cloud sans server architecture. When a user asks for an encrypted and intercepted representation, the OpenFaas gateway deploys the proposed framework. To decrease latency, a scant abeyance cluster is used to modify the cluster and renders the systematic work decision along with recognizing and adapting the systematic information. The obtained systematic information is monitored by using Data Standardizing Telemetry Transit (DSTT) Sensors. Then, to track the data request DSTT uses the Python Protocol technique in which the track data and cloud hosting functions were recognized. Then to provide an alert signal for the tracked data the allocation deployment technique has been used. As a result, it is possible to allocate resources effectively and allocate information efficiently. Hence, a vast amount of data processed has been managed at the same time without mark congestion and improved end-user accessibility and remote latencies.

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References

  1. Masuda, Y., & Viswanathan, M. (2019). Enterprise architecture for global companies in a digital IT Era: Adaptive integrated digital architecture framework (AIDAF). Springer.

    Book  Google Scholar 

  2. Nasr, A. A., El-Bahnasawy, N. A., Attiya, G., & El-Sayed, A. (2019). Cost-effective algorithm for workflow scheduling in cloud computing under deadline constraints. Arabian Journal for Science and Engineering, 44(4), 3765–3780.

    Article  Google Scholar 

  3. Irfan, S. (2019). Building Smart Cities in Pakistan, ITU Punjab. In Retrieved on January 27, 2019, from www. technology review. pk/building-smart cities-

  4. Khan, M., Silva, B. N., & Han, K. (2016). Internet of things based energy-aware smart home control system. IEEE Access, 4, 7556–7566.

    Article  Google Scholar 

  5. Chofreh, A. G., & Goni, F. A. (2017). Review of frameworks for sustainability implementation. Sustainable Development, 25(3), 180–188.

    Article  Google Scholar 

  6. Yeh, H. (2017). The effects of successful ICT-based smart city services: From citizens’ perspectives. Government Information Quarterly, 34, 556–565.

    Article  Google Scholar 

  7. Hamdoun, H., Alzubi, J. A., Alzubi, O. A., & Mangeni, S. (2014). Key economic and environmental perspectives on sustainability in the ICT sector. Middle-East Journal of Scientific Research, 21(8), 1341–1345.

    Google Scholar 

  8. Kumar, T.V., & Dahiya, B. (2017). The smart economy in smart cities. The smart economy in smart cities. Singapore: Springer, pp. 3–76.

  9. Nyberg, R. A. (2018). Using ‘smartness’ to reorganize sectors: Energy infrastructure and information engagement. International Journal of Information Management, 39, 60–68.

    Article  Google Scholar 

  10. Guelzim, T., Obaidat, M.S., & Sadoun, B. (2016). Introduction and overview of key enabling technologies for smart cities and homes. Smart cities and homes. Morgan Kaufmann, pp. 1–16.

  11. Vu, K., & Hartley, K. (2018). Promoting smart cities in developing countries: Policy insights from Vietnam. Telecommunications Policy, 42(10), 845–859.

    Article  Google Scholar 

  12. Mao, Y., You, C., Zhang, J., Huang, K., Letaief, K.B. A survey on mobile edge computing: The communication perspective. IEEE Communications Surveys & Tutorials

  13. Ismagilova, E., Hughes, L., Dwivedi, Y. K., & Raman, K. R. (2019). Smart cities: Advances in research—an information systems perspective. International Journal of Information Management, 47, 88–100.

    Article  Google Scholar 

  14. Kar, A. K., Ilavarasan, V., Gupta, M. P., Janssen, M., & Kothari, R. (2019). Moving beyond Smart cities: Digital nations for social innovation & sustainability. Information Systems Frontiers, 21(3), 495–501.

    Article  Google Scholar 

  15. Zalazar, A.S., Ballejos, L., Rodriguez, S. (2017). Analyzing Requirements Engineering for Cloud Computing. M. Ramachandran, Z. Mahmood (Ed.), Requirements Engineering for Service and Cloud Computing, Springer International Publishing, 45–64

  16. Alghamdi, B., Potter, L. E., & Drew, S. (2021). Validation of architectural requirements for tackling cloud computing barriers: Cloud provider perspective. Procedia Computer Science, 181, 477–486.

    Article  Google Scholar 

  17. Ahad, MA., Paivab, S., Ahad, MA., Paiva, S., Tripathi, G., Feroz, N. Department of Computer Science and Engineering, Jamia Hamdard, New Delhi, India. https://doi.org/10.1016/j.scs.2020.102301.

  18. Vasudavan, Hemalata, and Sumathi Balakrishnan. (2019). The Taxonomy of Smart City Core Factors. In Proceedings of the 2019 7th International Conference on Information Technology: IoT and Smart City, pp. 509–513.

  19. Laufs, J., Borrion, H., & Bradford, B. (2020). Security and the smart city: A systematic review. Sustainable cities and society, 55, 102023.

    Article  Google Scholar 

  20. Casas, I., Taheri, J., Ranjan, R., Wang, L., & Zomaya, A. Y. (2018). Ga-eti: An enhanced genetic algorithm for the scheduling of scientific workflows in cloud environments. Journal of Computer Science, 26, 318–331.

    Article  Google Scholar 

  21. Wang, Y., et al. (2018). An interdisciplinary educational project connecting smart city technology with local communities. In 2018 IEEE International Smart Cities Conference (ISC2), pp. 1–2.

  22. Al Ridhawi, I., Otoum, S., Aloqaily, M., Jararweh, Y., & Baker, T. (2020). Providing secure and reliable communication for next-generation networks in smart cities. Sustainable Cities and Society, 56, 102080.

    Article  Google Scholar 

  23. Anthony Jnr, B., Abbas Petersen, S., Ahlers, D., & Krogstie, J. (2020). API deployment for big data management towards sustainable energy presumption in smart cities-a layered architecture perspective. International Journal of Sustainable Energy, 39(3), 263–289.

    Article  Google Scholar 

  24. Jeong, Y. S., & Park, J. H. (2020). Security, privacy, and efficiency of sustainable computing for future smart cities. Journal of Information Processing Systems, 16(1), 1–5.

    Article  Google Scholar 

  25. Mishra, K.N., & Chakraborty, C. (2020). A novel approach toward enhancing the quality of life in smart cities using clouds and IoT-based technologies. In Digital Twin Technologies and Smart Cities (pp. 19–35). Springer, Cham.

  26. Ahad, M.A., Tripathi, G., Zafar, S., & Doja, F. (2020). IoT data management—Security aspects of information linkage in IoT systems. In Principles of the internet of things (IoT) ecosystem: Insight paradigm. Cham: Springer, pp. 439–464.

  27. Sathish Kumar, L., Ramanan, M., Jafar Alzubi, A., Jayarajan, P., Thenmozhi, S. (2021). Smart metering using IoT and ICT for sustainable seller consumer in smart city. Challenges and Solutions for Sustainable Smart City Development, Springer, Cham, pp. 75–89, https://doi.org/10.1007/978-3-030-70183-3

  28. Movassagh, A. A., Alzubi, J. A., Gheisari, M., Rahimi, M., Mohan, S., Abbasi, A. A., & Nabipour, N. (2021). Artificial neural networks training algorithm integrating invasive weed optimization with differential evolutionary model. Journal of Ambient Intelligence and Humanized Computing. https://doi.org/10.1007/s12652-020-02623-6

    Article  Google Scholar 

  29. Omar Alzubi, A., Jafar Alzubi, A., Shankar, K., Deepak Gupta. (2020). Blockchain and artificial intelligence-enabled privacy-preserving medical data transmission in the Internet of Things. Transactions on Emerging Telecommunications Technologies.

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Authors and Affiliations

  1. Jamia Hamdard, Mehrauli - Badarpur Rd, Near Batra Hospital, Block D, Hamdard Nagar, New Delhi, 110062, India

    Lubna Ansari, M. Afshar Alam, Mohd Abdul Ahad & Mohd Tabrez Nafis

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  1. Lubna Ansari
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  2. M. Afshar Alam
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  3. Mohd Abdul Ahad
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  4. Mohd Tabrez Nafis
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Correspondence to Lubna Ansari.

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Ansari, L., Alam, M.A., Ahad, M.A. et al. Cloud sans server architecture for sustainable development in smart cities: Indian perspective. Wireless Netw 29, 2671–2684 (2023). https://doi.org/10.1007/s11276-023-03343-3

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