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• W4316876978 abstract "Mobile edge computing (MEC) is becoming increasingly popular due to its remarkable computing capacities in close proximity to end users or devices. With the widespread use of Industrial Internet of Things, more and more cloud service providers move their services to the edge of the network for a better quality of service and become MEC providers. These MEC providers require to rent wide area network (WAN) connections to transfer industrial data, which is a considerable expense. In this article, we propose a framework called <italic xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>Sublessor</i> to reduce the WAN transmission cost for a group of cooperative MEC providers. The key idea of <italic xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>Sublessor</i> is allowing some specific MEC providers to act as Internet transit brokers, transmitting not only their own network traffic but also the traffic of their partners under a reasonable reselling price. This article formulates the problem as a mixed integer programming and finds the most suitable broker number and corresponding reselling price without damaging the profit of both brokers and partners by a deep-reinforcement-learning-based algorithm. Experimental results show that our algorithm can significantly reduce the traffic transmission cost by up to 35%." @default.
• W4316876978 created "2023-01-17" @default.
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• W4316876978 date "2023-09-01" @default.
• W4316876978 modified "2023-09-28" @default.
• W4316876978 title "<i>Sublessor:</i> A Cost-Saving Internet Transit Mechanism for Cooperative MEC Providers in Industrial Internet of Things" @default.
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• W4316876978 doi "https://doi.org/10.1109/tii.2022.3230689" @default.
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