Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/139397
Title: Computing resource allocation in three-tier IoT fog networks : a joint optimization approach combining Stackelberg game and matching
Authors: Zhang, Huaqing
Xiao, Yong
Bu, Shengrong
Niyato, Dusit
Yu, Richard F.
Han, Zhu
Keywords: Engineering::Computer science and engineering
Issue Date: 2017
Source: Zhang, H., Xiao, Y., Bu, S., Niyato, D., Yu, R. F., & Han, Z. (2017). Computing resource allocation in three-tier IoT fog networks : a joint optimization approach combining Stackelberg game and matching. IEEE Internet of Things Journal, 4(5), 1204-1215. doi:10.1109/JIOT.2017.2688925
Journal: IEEE Internet of Things Journal
Abstract: Fog computing is a promising architecture to provide economical and low latency data services for future Internet of Things (IoT)-based network systems. Fog computing relies on a set of low-power fog nodes (FNs) that are located close to the end users to offload the services originally targeting at cloud data centers. In this paper, we consider a specific fog computing network consisting of a set of data service operators (DSOs) each of which controls a set of FNs to provide the required data service to a set of data service subscribers (DSSs). How to allocate the limited computing resources of FNs to all the DSSs to achieve an optimal and stable performance is an important problem. Therefore, we propose a joint optimization framework for all FNs, DSOs, and DSSs to achieve the optimal resource allocation schemes in a distributed fashion. In the framework, we first formulate a Stackelberg game to analyze the pricing problem for the DSOs as well as the resource allocation problem for the DSSs. Under the scenarios that the DSOs can know the expected amount of resource purchased by the DSSs, a many-to-many matching game is applied to investigate the pairing problem between DSOs and FNs. Finally, within the same DSO, we apply another layer of many-to-many matching between each of the paired FNs and serving DSSs to solve the FN-DSS pairing problem. Simulation results show that our proposed framework can significantly improve the performance of the IoT-based network systems.
URI: https://hdl.handle.net/10356/139397
ISSN: 2327-4662
DOI: 10.1109/JIOT.2017.2688925
Rights: © 2017 IEEE. All rights reserved.
Fulltext Permission: none
Fulltext Availability: No Fulltext
Appears in Collections:SCSE Journal Articles

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