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首页> 外文会议>International Conference on Computational Science and Its Applications(ICCSA 2006) pt.5; 20060508-11; Glasgow(GB) >Towards Reliable and Trustworthy Cooperation in Grid: A Pre-evaluating Set Based Trust Model
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Towards Reliable and Trustworthy Cooperation in Grid: A Pre-evaluating Set Based Trust Model

机译：走向网格中的可靠和值得信赖的合作：基于预评估集的信任模型

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摘要

Without reliable trust relationship between cooperative parities, the paradigm of large scale resource sharing and cooperated problem-solving as envisioned by most will not come true in Grid. With wide application in Electronic Commerce and online communities, Reputation mechanism emerges as a promising solution for trust establishment in Grid, especially between unknown entities. With little consideration of Grid's distinct characteristics such as the sparseness of ratings and the strangeness of entities, most reputation evaluation methods currently available are not feasible to Grid. In this paper, we propose a pre-evaluating set based bias-tuned method for reputation evaluation in Grid. The introduction of the pre-evaluating set is to track an entity's rating criteria, overcome the sparseness and strangeness mentioned above. With this pre-evaluating set, we can reasonably filter out malicious ratings by examining inconsistency between ratings to this set and to real transactions, effectively tune a rater's bias to cater to the current evaluator's criteria by interpolation approach and scientifically weight a rater's rating in aggregation by the introduction of Criteria Coherent Degree.
机译：如果合作伙伴之间没有可靠的信任关系，那么大多数人所设想的大规模资源共享和合作解决问题的范例将无法在Grid中实现。随着在电子商务和在线社区中的广泛应用，信誉机制已成为网格中建立信任的有希望的解决方案，尤其是在未知实体之间。由于很少考虑Grid的鲜明特征（例如稀疏性和实体的陌生性），因此当前可用的大多数信誉评估方法对于Grid都是不可行的。在本文中，我们提出了一种基于预评估集的偏差调整方法进行网格信誉评估。引入预评估集是为了跟踪实体的评级标准，克服上述的稀疏性和陌生性。借助此预评估集，我们可以通过检查此评估集与实际交易的评估之间的不一致来合理地过滤掉恶意评估，通过插值方法有效调整评估者的偏见以适应当前评估者的标准，并科学地权衡评估者的评估等级通过引入标准相干度。

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