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Article: End-to-End Service Auction: A General Double Auction Mechanism for Edge Computing Services

TitleEnd-to-End Service Auction: A General Double Auction Mechanism for Edge Computing Services
Authors
KeywordsCosts
double auction
Edge computing
Edge computing
Optimization
Quality of service
Resource management
Routing
Servers
service provisioning
spectrum allocation
Issue Date2022
Citation
IEEE/ACM Transactions on Networking, 2022 How to Cite?
AbstractUbiquitous powerful personal computing facilities, such as desktop computers and parked autonomous cars, can function as micro edge computing servers by leveraging their spare resources. However, to harvest their resources for service provisioning, two significant challenges will arise: how to incentivize the server owners to contribute their computing resources, and how to guarantee the end-to-end (E2E) Quality-of-Service (QoS) for service buyers? In this paper, we address these two problems in a holistic way by advocating COMSA. Unlike the existing double auction schemes for edge computing which mostly focus on computing resource trading, COMSA addresses the joint problem of double auction mechanism design and network resource allocation by explicitly taking spectrum allocation and data routing into account, thereby providing E2E QoS guarantees for edge computing services. To handle the design complexity, COMSA employs a two-step procedure to decouple network optimization and mechanism design, which hence can be applied to general network optimization problems for edge computing. COMSA holds some critical economic properties, i.e., truthfulness, budget balance, and individual rationality. Our extensive simulation studies demonstrate the effectiveness of COMSA.
Persistent Identifierhttp://hdl.handle.net/10722/316660
ISSN
2023 Impact Factor: 3.0
2023 SCImago Journal Rankings: 2.034
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorChen, Xianhao-
dc.contributor.authorZhu, Guangyu-
dc.contributor.authorDing, Haichuan-
dc.contributor.authorZhang, Lan-
dc.contributor.authorZhang, Haixia-
dc.contributor.authorFang, Yuguang-
dc.date.accessioned2022-09-14T11:41:00Z-
dc.date.available2022-09-14T11:41:00Z-
dc.date.issued2022-
dc.identifier.citationIEEE/ACM Transactions on Networking, 2022-
dc.identifier.issn1063-6692-
dc.identifier.urihttp://hdl.handle.net/10722/316660-
dc.description.abstractUbiquitous powerful personal computing facilities, such as desktop computers and parked autonomous cars, can function as micro edge computing servers by leveraging their spare resources. However, to harvest their resources for service provisioning, two significant challenges will arise: how to incentivize the server owners to contribute their computing resources, and how to guarantee the end-to-end (E2E) Quality-of-Service (QoS) for service buyers? In this paper, we address these two problems in a holistic way by advocating COMSA. Unlike the existing double auction schemes for edge computing which mostly focus on computing resource trading, COMSA addresses the joint problem of double auction mechanism design and network resource allocation by explicitly taking spectrum allocation and data routing into account, thereby providing E2E QoS guarantees for edge computing services. To handle the design complexity, COMSA employs a two-step procedure to decouple network optimization and mechanism design, which hence can be applied to general network optimization problems for edge computing. COMSA holds some critical economic properties, i.e., truthfulness, budget balance, and individual rationality. Our extensive simulation studies demonstrate the effectiveness of COMSA.-
dc.languageeng-
dc.relation.ispartofIEEE/ACM Transactions on Networking-
dc.subjectCosts-
dc.subjectdouble auction-
dc.subjectEdge computing-
dc.subjectEdge computing-
dc.subjectOptimization-
dc.subjectQuality of service-
dc.subjectResource management-
dc.subjectRouting-
dc.subjectServers-
dc.subjectservice provisioning-
dc.subjectspectrum allocation-
dc.titleEnd-to-End Service Auction: A General Double Auction Mechanism for Edge Computing Services-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1109/TNET.2022.3179239-
dc.identifier.scopuseid_2-s2.0-85131765040-
dc.identifier.eissn1558-2566-
dc.identifier.isiWOS:000821508600001-

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