Research Article
Breaking Information Barriers in Edge Computing: Financing Contracts with Double Asymmetries
@INPROCEEDINGS{10.1007/978-3-032-33662-0_29, author={Zirun Zhou and Chunxia Su and Jichong Guo and Zhenping Chen}, title={Breaking Information Barriers in Edge Computing: Financing Contracts with Double Asymmetries}, proceedings={Communications and Networking. 20th EAI International Conference, ChinaCom 2025, Xi’an, China, November 8--9, 2025, Proceedings}, proceedings_a={CHINACOM}, year={2026}, month={10}, keywords={task offloading contract theory financing contract Lagrange multiplier method}, doi={10.1007/978-3-032-33662-0_29} }- Zirun Zhou
Chunxia Su
Jichong Guo
Zhenping Chen
Year: 2026
Breaking Information Barriers in Edge Computing: Financing Contracts with Double Asymmetries
CHINACOM
Springer
DOI: 10.1007/978-3-032-33662-0_29
Abstract
In edge computing networks, computing service providers (SP) face the issue of insufficient computational power. Consequently, they must offload computing tasks to edge computing nodes (ECNs). ECNs are owned by third parties, leading to information asymmetry between SP and ECNs. This paper aims to incentivize the participation of ECNs in task offloading and to maximize the expected payoff for the SP. This is addressed through the design of an optimal financing contract based on contract theory and an exploration of its incentive mechanisms. Firstly, a model leveraging adverse selection and moral hazard is established. While taking account of incentive compatibility (IC) and individual rationality (IR), this paper aims to maximize the expected payoff of SP. Finally, the optimal financing contract is solved using the Lagrange multiplier method, and the rationality and feasibility of the contract are simulated and verified.