A STUDY ON CLUSTERING OF RASPBERRY PI

Authors

  • Ms. Aditi Satish Department of Electronics and Telecommunication Engineering, SIES Graduate School of Technology, Navi Mumbai, India
  • Mr Jasan Sandeep Department of Electronics and Telecommunication Engineering, SIES Graduate School of Technology, Navi Mumbai, India
  • Mr. Jeet Barot Department of Electronics and Telecommunication Engineering, SIES Graduate School of Technology, Navi Mumbai, India
  • Mr. Darshan Choudhary Department of Electronics and Telecommunication Engineering, SIES Graduate School of Technology, Navi Mumbai, India
  • Prof. Sonal Hutke Assistant Professor Department of Electronics and Telecommunication Engineering, SIES Graduate School of Technology, Navi Mumbai, India

DOI:

https://doi.org/10.17605/OSF.IO/A4RHK

Keywords:

Clustering, computers, cores, processing, Raspberry Pi.

Abstract

In today's era, most of our work is dependent on computers and the processing done by computers. There is a demand for faster, smarter, and efficient computers. By using our proposed project, we intent to study and prototype load balancing techniques used in computing. This demonstration is being done by using Raspberry Pis as the primary component. Our demonstration depicts how Raspberry Pi nodes communicate with each other in a wireless manner and help in efficient computing.

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References

("What is cluster? - Definition from WhatIs.com", 2020)

Johnston, Steven J., et al. "Commodity single board computer clusters and their applications." Future Generation Computer Systems 89 (2018): 201-212.

Cox, Simon J., et al. "Iridis-pi: a low-cost, compact demonstration cluster." Cluster Computing 17.2 (2014): 349-358.

("SSH Protocol – Secure Remote Login and File Transfer", 2020)

Krauss, Ryan. "Combining Raspberry Pi and Arduino to form a low-cost, real-time autonomous vehicle platform." In 2016 American Control Conference (ACC), pp. 6628-6633. IEEE, 2016.

Abrahamsson, Pekka, et al. "Affordable and energy-efficient cloud computing clusters: The bolzano raspberry pi cloud cluster experiment." 2013 IEEE 5th International Conference on Cloud Computing Technology and Science. Vol. 2. IEEE, 2013.

Bhave, S., Tolentino, M., Zhu, H. and Sheng, J., 2017, July. Embedded middleware for distributed raspberry pi device to enable big data applications. In 2017 IEEE International Conference on Computational Science and Engineering (CSE) and IEEE International Conference on Embedded and Ubiquitous Computing (EUC) (Vol. 2, pp. 103-108). IEEE.

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Published

2020-06-06

How to Cite

[1]
Ms. Aditi Satish, Mr Jasan Sandeep, Mr. Jeet Barot, Mr. Darshan Choudhary, and Prof. Sonal Hutke, “A STUDY ON CLUSTERING OF RASPBERRY PI”, IEJRD - International Multidisciplinary Journal, vol. 5, no. 5, p. 7, Jun. 2020.

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Articles