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中文摘要：
网格市场中,资源提供者可能会恶意夸大性能或者单边解约,原有基于时间和预算约束的资源选择方法不适合不可信环境。将信任机制融入网格市场,提出了一种基于信任过滤的资源选择方法。该方法首先根据用户信任需求过滤低可信资源,然后对剩余高可信资源综合考虑其价格和风险因素,最后给出了最小机会成本启发式算法。实验表明,该方法能对供求双方产生激励：对资源方保证可靠资源提供者的整体利润;对用户方能显著降低作业失效率、减少成本。
英文摘要：
The previous deadline and budget constrained （DBC） algorithms were proposed to guide resource selection in grid market. However those algorithms are not suitable for unreliable environment, where malicious providers may boast performance or cease contract. By employing trust mechanism into grid market, a trust-filtered approach was proposed for resource selection to bridge this gap. This approach first filters most of the lower-trust resources basing user’s trust demand. To the remaining resources above demand, it then uses a minimal opportunity-cost algorithm to guide the judgment. Its main idea is to takes both of price and risk into considerations. Simulations show the approach gives two-fold incentives. It effectively guarantees profit of reliable resources, and reduces job failure rate and cost of users.
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