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This paper presents a requirement-based bidding language for agent-based scheduling. The language allows agents to attach their valuations directly to scheduling performance requirements. Compared with general bidding languages, the proposed one reduces agents' valuation and system's communication complexities. In addition, it results in efficient winner determination problem models. Experimental results show that the requirement-based language exhibits superior winner determination performance in terms of problem-solving speed and scalability.