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Matching With Contracts-Based Resource Trading and Price Negotiation in Multi-Access Edge Computing
IEEE Wireless Communications Letters ( IF 4.6 ) Pub Date : 2021-01-05 , DOI: 10.1109/lwc.2021.3049169
Chunxia Su , Fang Ye , Yiyong Zha , Tingting Liu , Yunfei Zhang , Zhu Han

In order to provide high quality services for Internet of Things (IoT) users with ever-changing requirements, a novel multi-access edge computing (MEC) based network paradigm is proposed in this letter. In the proposed framework, the service providers rent resources from resource providers (RPs), and then deploy them into MEC nodes (MNs). In this way, the MNs are labeled as temporal service points, which is flexible and cost-effective. Aiming to address the resource trading and price negotiation problem between the RPs and MNs, a matching with contracts model is leveraged in our proposed paradigm. Next, we further propose a distributed price negotiation algorithm to solve the problem. Finally, the simulations are presented to demonstrate the superiority of our proposed algorithm.

中文翻译:

在多路访问边缘计算中与基于合同的资源交易和价格协商相匹配

为了向不断变化的需求的物联网(IoT)用户提供高质量的服务,本文提出了一种新颖的基于多访问边缘计算(MEC)的网络范例。在提出的框架中,服务提供商从资源提供商(RP)租用资源,然后将它们部署到MEC节点(MN)中。以此方式,MN被标记为时间服务点,这是灵活且成本有效的。为了解决RP和MN之间的资源交易和价格协商问题,在我们提出的范例中利用了合约匹配模型。接下来,我们进一步提出了一种分布式价格协商算法来解决该问题。最后,仿真结果证明了我们提出的算法的优越性。
更新日期:2021-01-05
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