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Optimizing IoT Based Parallel Server in a Low Power Operational Environment


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1 Department of Computer Science, American International University Bangladesh, Dhaka, Bangladesh
 

Despite, the fact, Internet of Things (IoT) has indeed proven an effective technology in transportation, agriculture, healthcare, industrial automation, and emergency response to natural and man-made disasters, IoT inherits limitations from power of the devices in the IoT infrastructure. Such limitations, demands the need to have optimization research. The aim of this study is to develop a parallel server architecture in an IoT-based service in a low-power environment. The need for parallel computing is necessary for IoT-enabled devices and system architecture. The server-oriented IoT-based cloud architecture study needs immense capability and efficiency to produce satisfactory throughput. Although the efficiency is relatively acquired by the services, the demand for security is also a matter of concern in the modern platform of IoT-supported services. The concurrent process of the encryption system, data processing and computation in the service transactions, and effective, reliable management of the servers working simultaneously in an energy-efficient network service architecture is the aimed product of this study. The focus is to provide the data and task level parallelism to ensure lesser transaction delay in the system.

Keywords

Architecture, Concurrent, Immense, Parallel, Transaction.
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  • Cranmer, E. E., Papalexi, M., tom Dieck, M. C., & Bamford, D. (2022). Internet of Things: Aspiration, implementation and contribution. Journal of Business Research, 139, 69-80.
  • Nord, J. H., Koohang, A., & Paliszkiewicz, J. (2019). The Internet of Things: Review and theoretical framework. Expert Systems with Applications, 133, 97108.
  • Stoyanova, M., Nikoloudakis, Y., Panagiotakis, S., Pallis, E., & Markakis, E. K. (2020). A survey on the internet of things (IoT) forensics: challenges, approaches, and open issues. IEEE Communications Surveys & Tutorials, 22(2), 1191-1221.
  • Glaroudis, D., Iossifides, A., & Chatzimisios, P. (2020). Survey, comparison and research challenges of IoT application protocols for smart farming. Computer Networks, 168, 107037.
  • Lamkimel, M., Naja, N., Jamali, A., & Yahyaoui, A. (2018, November). The Internet of Things: Overview of the essential elements and the new enabling technology 6LoWPAN. In 2018 IEEE International Conference on Technology Management, Operations and Decisions (ICTMOD) (pp. 142-147). IEEE.
  • Devi, K. N., & Muthuselvi, R. (2016, January). Parallel processing of IoT health care applications. In 2016 10th International Conference on Intelligent Systems and Control (ISCO) (pp. 1-6). IEEE.
  • Cañedo, J., & Skjellum, A. (2016, September). Adding scalability to Internet of Things gateways using parallel computation of edge device data. In 2016 IEEE High Performance Extreme Computing Conference (HPEC) (pp. 1-5). IEEE.
  • Flores-Vergara, A., Inzunza-González, E., GarcíaGuerrero, E. E., López-Bonilla, O. R., Rodríguez-Orozco, E., Hernández-Ontiveros, J. M., ... & Tlelo-Cuautle, E. (2019). Implementing a chaotic cryptosystem by performing parallel computing on embedded systems with multiprocessors. Entropy, 21(3), 268.
  • Nugroho, S., & Widiyanto, A. (2020, April). Designing parallel computing using raspberry pi clusters for IoT servers on apache Hadoop. In Journal of Physics: Conference Series (Vol. 1517, No. 1, p. 012070). IOP Publishing.
  • Dahiya, S., & Bohra, M. (2017, October). Hybrid parallel partial model for robust & secure authentication in healthcare IoT environments. In 2017 4th IEEE Uttar Pradesh Section International Conference on Electrical, Computer and Electronics (UPCON) (pp. 239-243). IEEE.
  • Manikandan, N., & Subha, S. (2018). Parallel AES algorithm for performance improvement in data analytics security for IoT. International Journal of Networking and Virtual Organisations, 18(2), 112-129.
  • Wang, X., Feng, L., & Zhao, H. (2019). Fast image encryption algorithm based on parallel computing system. Information Sciences, 486, 340-358.
  • Rashid, Z. N., Zeebaree, S. R., & Shengul, A. (2019, April). Design and analysis of proposed remote controlling distributed parallel computing system over the cloud. In 2019 International Conference on Advanced Science and Engineering (ICOASE) (pp. 118-123). IEEE.
  • Katsuno, Y., & Takahashi, H. (2015, March). An automated parallel approach for rapid deployment of composite application servers. In 2015 IEEE International Conference on Cloud Engineering (pp. 126-134). IEEE.
  • Garg, S. K., & Buyya, R. (2011, December). Network clouds im: Modelling parallel applications in cloud simulations. In 2011 Fourth IEEE International Conference on Utility and Cloud Computing (pp. 105113). IEEE.
  • Wang, J., Beu, J., Bheda, R., Conte, T., Dong, Z., Kersey, C., ... & Yalamanchili, S. (2014, March). Manifold: A parallel simulation framework for multicore systems. In 2014 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS) (pp. 106-115). IEEE.
  • Rahimi, H., Zibaeenejad, A., & Safavi, A. A. (2018, November). A novel IoT architecture based on 5G-IoT and next generation technologies. In 2018 IEEE 9th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON) (pp. 81-88). IEEE.
  • Ranjan, A., Behera, V. N. J., & Reza, M. (2020). A Parallel Approach for Real-Time Face Recognition from a Large Database. arXiv preprint arXiv:2011.00443.
  • Yang, S. (2017). IoT stream processing and analytics in the fog. IEEE Communications Magazine, 55(8), 21-27. [20] Rodriguez-Zurrunero, R., Utrilla, R., Rozas, A., & Araujo, A. (2019). Process management in IoT operating systems: Cross-influence between processing and communication tasks in end-devices. Sensors, 19(4), 805.
  • Abed, A. H. (2021). Internet of Things (IoT) Technologies for Empowering E-Education in Digital campuses of Smart Cities. International Journal of Advanced Networking and Applications, 13(2), 4925-
  • Dwivedi, A., Pant, R. P., Pant, D., Pande, M., & Pandey, S. (2019). Data Encryption using SCT and access control using TRBAC in Cloud Computing for Big Data. International Journal of Advanced Networking and Applications, 10(6), 4094-4098.

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  • Optimizing IoT Based Parallel Server in a Low Power Operational Environment

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Authors

Methila Farzana Woishe
Department of Computer Science, American International University Bangladesh, Dhaka, Bangladesh
Tamanna Zaman Bristy
Department of Computer Science, American International University Bangladesh, Dhaka, Bangladesh
Nila Sultana
Department of Computer Science, American International University Bangladesh, Dhaka, Bangladesh
Syma Kamal Chaity
Department of Computer Science, American International University Bangladesh, Dhaka, Bangladesh
Md. Taimur Ahad
Department of Computer Science, American International University Bangladesh, Dhaka, Bangladesh

Abstract


Despite, the fact, Internet of Things (IoT) has indeed proven an effective technology in transportation, agriculture, healthcare, industrial automation, and emergency response to natural and man-made disasters, IoT inherits limitations from power of the devices in the IoT infrastructure. Such limitations, demands the need to have optimization research. The aim of this study is to develop a parallel server architecture in an IoT-based service in a low-power environment. The need for parallel computing is necessary for IoT-enabled devices and system architecture. The server-oriented IoT-based cloud architecture study needs immense capability and efficiency to produce satisfactory throughput. Although the efficiency is relatively acquired by the services, the demand for security is also a matter of concern in the modern platform of IoT-supported services. The concurrent process of the encryption system, data processing and computation in the service transactions, and effective, reliable management of the servers working simultaneously in an energy-efficient network service architecture is the aimed product of this study. The focus is to provide the data and task level parallelism to ensure lesser transaction delay in the system.

Keywords


Architecture, Concurrent, Immense, Parallel, Transaction.

References