TY - JOUR
T1 - End-to-End Service Auction
T2 - A General Double Auction Mechanism for Edge Computing Services
AU - Chen, Xianhao
AU - Zhu, Guangyu
AU - Ding, Haichuan
AU - Zhang, Lan
AU - Zhang, Haixia
AU - Fang, Yuguang
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022/12/1
Y1 - 2022/12/1
N2 - Ubiquitous 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.
AB - Ubiquitous 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.
KW - Edge computing
KW - double auction
KW - service provisioning
KW - spectrum allocation
UR - http://www.scopus.com/inward/record.url?scp=85131765040&partnerID=8YFLogxK
U2 - 10.1109/TNET.2022.3179239
DO - 10.1109/TNET.2022.3179239
M3 - Article
AN - SCOPUS:85131765040
SN - 1063-6692
VL - 30
SP - 2616
EP - 2629
JO - IEEE/ACM Transactions on Networking
JF - IEEE/ACM Transactions on Networking
IS - 6
ER -