COVID-19 Networking Demand: An Auction-Based Mechanism for Automated Selection of Edge Computing Services.
COVID-19 Networking Demand: An Auction-Based Mechanism for Automated Selection of Edge Computing Services.
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DOI：
10.1109/tnse.2020.3026637
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发表时间：
2022-01
影响因子：
6.6
通讯作者：
Hossain MS
中科院分区：
文献类型：
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作者：
Yassine A;Hossain MS
新冠肺炎疫情期间，网络和云服务提供商在满足终端用户需求方面面临前所未有的挑战。目前，全球数十亿人被命令呆在家里，并使用远程连接技术来防止疾病的传播。新冠肺炎危机给网络服务商带来了新的现实，最终将加速边缘计算资源的部署，以吸引用户流量的海量涌入。用户可以基于诸如价格和质量的各种属性来选择从任何边缘计算提供商采购其资源需求。用户面临的主要挑战是，当价格和多种服务质量交易不断变化时，如何在价格和多种服务质量交易之间做出选择。该问题属于多属性决策问题。本文研究并提出了一种新的拍卖机制，通过该机制，网络服务中介将能够自动选择边缘计算服务以支持其最终用户。我们还提出了一个多属性决策模型，该模型允许经纪人在存在边缘网络提供商的多个投标时最大化其效用。评价和实验结果表明了该模型的实用性和稳健性。
Network and cloud service providers are facing an unprecedented challenge to meet the demand of end-users during the COVID-19 pandemic. Currently, billions of people around the world are ordered to stay at home and use remote connection technologies to prevent the spread of the disease. The COVID-19 crisis brought a new reality to network service providers that will eventually accelerate the deployment of edge computing resources to attract the massive influx of users’ traffic. The user can elect to procure its resource needs from any edge computing provider based on a variety of attributes such as price and quality. The main challenge for the user is how to choose between the price and multiple quality of service deals when such offerings are changing continually. This problem falls under multi-attribute decision-making. This paper investigates and proposes a novel auction mechanism by which network service brokers would be able to automate the selection of edge computing offers to support their end-users. We also propose a multi-attribute decision-making model that allows the broker to maximize its utility when several bids from edge-network providers are present. The evaluation and experimentation show the practicality and robustness of the proposed model.