Appraisal Reputation of Community Resources Based on Sensitive Factors

Liang Hong, Li Zhen, Zhang Qian
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Abstract

In order to solve the optimization of community resources in virtual computing environment, shorten the time to select the best resources, this paper drew on Liebig minimum factor's Law and Shelford’s law of tolerance in ecology, designed an appraisal reputation model of community resources, and put forward an appraisal reputation strategy based on sensitive factors. Experimental results show that the proposed model and strategy can evaluate the credibility of community resources objectively and accurately, and address the resource optimization problem effectively.
基于敏感因素的社区资源声誉评价
为了解决虚拟计算环境下社区资源的优化问题,缩短选择最佳资源的时间,本文借鉴生态学中的李比希最小因子定律和Shelford容忍定律,设计了社区资源评价声誉模型,提出了基于敏感因素的社区资源评价声誉策略。实验结果表明,该模型和策略能够客观、准确地评估社区资源的可信度,有效地解决了资源优化问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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