Abstract
In order to increase the performance of the IoT (Internet of Things), types of the FC (Fog Computing) models are proposed. Here, subprocesses of an application process to handle sensor data are performed on fog nodes in addition to servers. Fog nodes are hierarchically structured where a root node shows a cluster of servers and a leaf node indicates an edge node which communicates with sensors and actuators. As sensor data increases and decreases, some fog node gets overloaded and underloaded, respectively. In this paper, we propose a dynamic tree model for fog computing. A fog node supports a subsequence of subprocesses of an application process. If a fog node is overloaded, a fog node is splitted to a pair of nodes which support a prefix subsequence and the other postfix subsequence of the subprocesses, respectively. In another way, a fog node is replicated to a pair of nodes each of which supports the same subprocesses while receiving different input data. We propose a model to give the energy consumption of nodes splitted and replicated. By using the model, we newly consider a DTBFC (Dynamic TBFC) model where fog nodes are dynamically created and dropped depending on traffic of nodes so that the energy consumption and execution time of fog nodes can be reduced.
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Oma, R., Nakamura, S., Enokido, T., Takizawa, M. (2020). A Dynamic Tree-Based Fog Computing (DTBFC) Model for the Energy-Efficient IoT. In: Barolli, L., Okada, Y., Amato, F. (eds) Advances in Internet, Data and Web Technologies. EIDWT 2020. Lecture Notes on Data Engineering and Communications Technologies, vol 47. Springer, Cham. https://doi.org/10.1007/978-3-030-39746-3_4
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DOI: https://doi.org/10.1007/978-3-030-39746-3_4
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