Title
Combinatorial double auction for resource allocation with differential privacy in edge computing
Abstract
Application service providers deploy their services by purchasing certain edge computing resources from edge service providers. In this way, they can offer computing or storage support for users which promotes the formation of edge computing resource trading market. However, few research focus on the protection of the privacy of transaction participants. In this view of challenge, we propose a combinatorial double auction scheme based on differential privacy for multi-resource allocation in the trading market. In this scheme, our objective is to maximize the social welfare of the auction and apply the differential privacy based on Gaussian Mechanism to protect the security of the auction market. The simulation results show that the proposed scheme ensures the security and privacy of the auctioneers.
Year
DOI
Venue
2022
10.1016/j.comcom.2021.11.025
COMPUTER COMMUNICATIONS
Keywords
DocType
Volume
Edge computing, Resource allocation, Differential privacy, Combinatorial double auction
Journal
185
ISSN
Citations 
PageRank 
0140-3664
0
0.34
References 
Authors
0
4
Name
Order
Citations
PageRank
Xutong Jiang100.68
Yuhu Sun200.68
Bowen Liu372.44
Wanchun Dou487896.01