Peer Reviewed Journal via three different mandatory reviewing processes, since 2006, and, from September 2020, a fourth mandatory peer-editing has been added.
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
Swarnab Garang
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., Garang, S. (2023). Multitask Scheduling on Distributed Cloudlet System Built Using SoCs. Journal of Systemics, Cybernetics and Informatics, 21(1), 61-72. https://doi.org/10.54808/JSCI.21.01.61
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 as 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 are also 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.
