A Critical Analysis of Distributed Systems with a Focus on the Distributed Data Management in Edge Computing Environment
DOI:
https://doi.org/10.59472/jodet.v1i3.30Keywords:
Distributed Systems Cloud, Computing, Internet of Things, Edge ComputingAbstract
The emerging of distributed systems such as Distributed Computing, Grid, Jungle, Fog, Edge, Cloud computing systems, and the future of Inter-Cloud Computing helps to decrease communication cost in terms of delay and bandwidth consumption while increasing the advances in communications, networking complexity and the advent of big data technology such as proficient knowledge and smart decisions. Edge computing aims to alleviate the load on cloud data centers and minimize delay by making computing and other resources and services available closer to the users.
Therefore, in this work, a critical analysis of distributed systems was conducted with a focus on Distributed Data Management in Edge Computing Environment. It drew its recommendations for future applications such as the Internet of Things.
References
Madakam, S., Lake, V., Lake, V., & Lake, V. (2015). Internet of Things (IoT): A literature review. Journal of Computer and Communications, 3(05), 164.
https://www.machinemgetrics.com/blog/edge-computing-iot accessed on 09/11/2022
. Peña-López, Ismael. "ITU Internet report 2005: the internet of things." (2005).
. 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.
Chen, C. P., & Zhang, C. Y. (2014). Data-intensive applications, challenges, techniques and technologies: A survey on Big Data. Information sciences, 275, 314-347.
. Chen, C. P., & Zhang, C. Y. (2014). Data-intensive applications, challenges, techniques and technologies: A survey on Big Data. Information sciences, 275, 314-347.
. Hamdan, Salam, Moussa Ayyash, and Sufyan Almajali. "Edge-computing architectures for internet of things applications: A survey." Sensors 20.22 (2020): 6441.
Deepa, N., Pham, Q. V., Nguyen, D. C., Bhattacharya, S., Prabadevi, B., Gadekallu, T. R., ... & Pathirana, P. N. (2022). A survey on blockchain for big data: approaches, opportunities, and future directions. Future Generation Computer Systems.
Arora, A., Kaur, A., Bhushan, B., & Saini, H. (2019, July). Security concerns and future trends of internet of things. In 2019 2nd international conference on intelligent computing, instrumentation and control technologies (ICICICT) (Vol. 1, pp. 891-896). IEEE.
Hajibaba, M., & Gorgin, S. (2014). A review on modern distributed computing paradigms: Cloud computing, jungle computing and fog computing. Journal of computing and information technology, 22(2), 69-84.
Hu, P., Dhelim, S., Ning, H., & Qiu, T. (2017). Survey on fog computing: architecture, key technologies, applications and open issues. Journal of network and computer applications, 98, 27-42.
Botta, A., De Donato, W., Persico, V., & Pescapé, A. (2016). Integration of cloud computing and internet of things: a survey. Future generation computer systems, 56, 684-700.
Yi, S., Li, C., & Li, Q. (2015, June). A survey of fog computing: concepts, applications and issues. In Proceedings of the 2015 workshop on mobile big data (pp. 37-42).
Liu, Y., Fieldsend, J. E., & Min, G. (2017). A framework of fog computing: Architecture, challenges, and optimization. IEEE Access, 5, 25445-25454.
Baucas, M. J., & Spachos, P. (2020, July). Fog and IoT-based Remote Patient Monitoring Architecture Using Speech Recognition. In 2020 IEEE Symposium on Computers and Communications (ISCC) (pp. 1-6). IEEE.
Mondragón-Ruiz, G., Tenorio-Trigoso, A., Castillo-Cara, M., Caminero, B., & Carrión, C. (2021). An experimental study of fog and cloud computing in CEP-based Real-Time IoT applications. Journal of Cloud Computing, 10(1), 1-17.
Laroui, M., Nour, B., Moungla, H., Cherif, M. A., Afifi, H., & Guizani, M. (2021). Edge and fog computing for IoT: A survey on current research activities & future directions. Computer Communications, 180, 210-23
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