Manoj Subhash Kakade, Anupama Karuppiah, Mayank Mathur, Manasi Bibekar, Gaurav Basu, Aaditya Raghavan, Ananth Raghav, Pranav Lekshminarayanan

Proceedings of the 27th World Multi-Conference on Systemics, Cybernetics and Informatics: WMSCI 2023, pp. 61-67 (2023); https://doi.org/10.54808/WMSCI2023.01.61

Manoj Subhash Kakade
Department of Electrical & Electronics Engineering, BITS, Pilani, Pune Center, India

Anupama Karuppiah
Department of Electrical & Electronics Engineering, BITS, Pilani, KK Birla Goa Campus, Goa, India

Mayank Mathur
Department of Electrical & Electronics Engineering, BITS, Pilani, KK Birla Goa Campus, Goa, India

Manasi Bibekar
Department of Electrical & Electronics Engineering, BITS, Pilani, KK Birla Goa Campus, Goa, India

Gaurav Basu
Department of Electrical & Electronics Engineering, BITS, Pilani, KK Birla Goa Campus, Goa, India

Aaditya Raghavan
Department of Electrical & Electronics Engineering, BITS, Pilani, KK Birla Goa Campus, Goa, India

Ananth Raghav
Department of Electrical & Electronics Engineering, BITS, Pilani, KK Birla Goa Campus, Goa, India

Pranav Lekshminarayanan
Department of Electrical & Electronics Engineering, BITS, Pilani, KK Birla Goa Campus, Goa, India

Cite this paper as:
Kakade, M. S., Karuppiah, A., Mathur, M., Bibekar, M., Basu, G., Raghavan, A., Raghav, A., Lekshminarayanan, P. (2023). Multitask Scheduling on Distributed Cloudlet System Built Using SoCs. In N. Callaos, E. Gaile-Sarkane, S. Hashimoto, N. Lace, B. Sánchez, M. Savoie (Eds.), Proceedings of the 27th World Multi-Conference on Systemics, Cybernetics and Informatics: WMSCI 2023, pp. 61-67. International Institute of Informatics and Cybernetics. https://doi.org/10.54808/WMSCI2023.01.61

With the emergence of IoT, new computing paradigms have also emerged. Initial IoT systems had all the computing happening on the cloud. With the emergence of Industry 4.0 and IoT being the major building block, clouds are not the only solution for data storage and analytics. Cloudlet, Fog Computing, Edge Computing, and Dew Computing models are now available, providing similar capabilities to the cloud. The term cloudlet was introduced first in 2011, but research in this area has picked up only over the past five years. Unlike clouds which are built with powerful server-class machines and GPUs, cloudlets are usually made using simpler devices such as SoCs. In this paper, we propose a complete novel distributed architecture for cloudlets, and we also are proposing algorithms for data storage and task allocation across various nodes in the cloudlet. This cloudlet system was built using Qualcomm Snapdragon 410c. We have analyzed the architecture and the algorithm for varying workloads, bandwidth and data storage. The primary aim of the algorithm and the architecture is to ensure uniform processing and data loads across the nodes of the system.