Abstract
A huge number and various types of devices like sensors and actuators are interconnected with clouds of servers in the IoT (Internet of Things). Here, a large volume of data created by sensors have to be efficiently transmitted and processed and actions have to be efficiently delivered to actuators at an opportune time. In order to reduce the delay time and increase the performance, data and processing are distributed to not only servers but also fog nodes in fog computing systems. On the other hand, the total electric energy consumed by fog nodes increases since a huge number of fog nodes are interconnected. In this paper, we newly propose a tree-based fog computing model to deploy processes and data to fog nodes so that the total electric energy consumption of nodes can be reduced in the IoT. In the evaluation, we show the total electric energy consumption of nodes in the tree-based model is smaller than the cloud model where processes and data are centralized.
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This work was supported by JSPS KAKENHI grant number 15H0295.
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Oma, R., Nakamura, S., Enokido, T., Takizawa, M. (2019). A Tree-Based Model of Energy-Efficient Fog Computing Systems in IoT. In: Barolli, L., Javaid, N., Ikeda, M., Takizawa, M. (eds) Complex, Intelligent, and Software Intensive Systems. CISIS 2018. Advances in Intelligent Systems and Computing, vol 772. Springer, Cham. https://doi.org/10.1007/978-3-319-93659-8_92
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DOI: https://doi.org/10.1007/978-3-319-93659-8_92
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