From Resource Auction to Service Auction: An Auction Paradigm Shift in Wireless Networks

From Resource Auction to Service Auction: An Auction Paradigm Shift in Wireless Networks
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DOI:
10.1109/mwc.005.2100627
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发表时间:
2022-02
影响因子:
12.9
通讯作者:
Xianhao Chen;Yiqin Deng;Guangyu Zhu;Danxin Wang;Ya-Nan Fang
Xianhao Chen;Yiqin Deng;Guangyu Zhu;Danxin Wang;Ya-Nan Fang
中科院分区:
计算机科学1区
文献类型:
--
作者:
Xianhao Chen;Yiqin Deng;Guangyu Zhu;Danxin Wang;Ya-Nan Fang

文献摘要

相似文献

在5G及以后,诸如边缘计算/智能服务之类的新兴服务可能需要在相隔多跳的网络实体上和跨网络实体提供异构通信、计算和存储(CCS)资源。在这种情况下,传统的面向资源的拍卖方案,其中买家对资源进行投标,可能无法有效地提供端到端(E2 E)的服务质量(QoS)保证。为了克服这些局限性,在本文中,我们讨论了E2 E服务拍卖的概念,其中拍卖的商品是E2 E服务,而不是某种资源。在此框架下,购买者只需竞标具有E2 E QoS要求的服务,而不必知道内部工作(如何选择和评估背后的资源)。E2 E服务拍卖要在保证基本经济属性的同时保证中标的QoS,需要解决网络优化和拍卖设计的联合问题,同时考虑经济约束和QoS约束。为了证实机制设计,我们说明了如何设计E2 E服务拍卖的边缘计算系统在各种情况下。我们还确定了其他关键用例(包括边缘智能)的E2 E服务拍卖机制设计的研究机会。
In 5G and beyond, newly emerging services, such as edge computing/intelligence services, may demand the provisioning of heterogeneous communications, computing, and storage (CCS) resources on and across network entities multiple hops apart. In such cases, traditional resource-oriented auction schemes, where buyers place bids on resources, may not be effective in providing end-to-end (E2E) quality of service (QoS) guarantees. To overcome these limitations, in this article, we discuss the concept of E2E service auction where the auction commodities are E2E services rather than a certain resource. Under this framework, buyers simply bid for services with E2E QoS requirements without having to know the inner working (how to select and valuate resources behind). To guarantee E2E QoS for winning bids while ensuring essential economic properties, E2E service auction requires addressing the joint problem of network optimization and auction design with both economic and QoS constraints. To substantiate the mechanism design, we illustrate how to devise E2E service auctions for edge computing systems under various scenarios. We also identify the research opportunities on E2E service auction mechanism design for other critical use cases, including edge intelligence.