Auction-Based Capacity Trading Mechanisms with Trust-Dependent Bidding Strategies
Keywords:
capacity trading, auction mechanisms, trust-dependent bidding, socio-technical systems, governance, decentralized infrastructure, reputation systemsAbstract
The efficient allocation of transient capacity across distributed and heterogeneous systems is a foundational challenge for modern infrastructures such as cloud computing, smart grids, and manufacturing networks. Auction-based capacity trading mechanisms offer a promising solution by enabling decentralized, market-driven resource coordination. However, the canonical assumption of fully rational and purely self-interested bidding behavior systematically fails to capture the role of trust, which has been shown to profoundly shape strategic interactions in socio-technical systems. This paper presents a comprehensive system-level examination of auction-based capacity trading mechanisms in which bidding strategies are explicitly modulated by trust dependencies among participants. It explores the architectural and governance implications of embedding dynamic trust models into capacity markets, moving beyond purely transactional designs. We discuss the structural trade-offs between economic efficiency, fairness, robustness against strategic manipulation, and long-term sustainability. The analysis covers auction format selection, trust scoring infrastructures, bidding adaptation heuristics, and the enforcement of reciprocity norms through decentralized governance tokens and reputation systems. Special attention is devoted to the interplay between trust evolution and market power, the risk of collusive trust networks, and the resilience of the system to sybil and whitewashing attacks. Deployment challenges, including privacy-aware trust computation and regulatory compliance, are examined. The paper argues that trust-dependent bidding transforms capacity trading from a zero-sum spot market into a repeated game ecosystem capable of sustaining cooperative equilibria, thereby enhancing overall infrastructure resilience. By synthesizing insights from mechanism design, trust economics, and distributed systems architecture, the work provides a forward-looking framework for designing next-generation capacity markets that are both efficient and relationally grounded.
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This article is published under the Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
