计算机应用研究2023，Vol.40Issue(12)：3614-3620,7.DOI:10.19734/j.issn.1001-3695.2023.04.0157
基于改进INFO算法的新型可拓云计算机性能评估模型
Extension cloud computer performance evaluation model based on improved INFO algorithm
李冬 1杨攀飞 1廉建芳 1赵立新2
作者信息
- 1. 工业和信息化部电子第五研究所,广州 510000||基础软硬件性能与可靠性测评工业和信息化部重点实验室,广州 510000
- 2. 辽宁工业大学汽车与交通工程学院,辽宁锦州 121000
- 折叠
摘要
Abstract
The performance evaluation and classification of computer system is a key step in the development of computer high performance.In order to eliminate the misjudgment of performance levels due to uncertainty in the evaluation process,this pa-per developed theoretical model for computer performance evaluation using extended cloud theory.Secondly,to take into ac-count the clarity and ambiguity of the stratification boundary,then this paper proposed an optimal method for calculating cloud entropy that adaptively evaluated the entropy of an object,which improved the rationality and accuracy of the model.Finally,it proposed an improved vector measurement method(INFO)for the nonlinear solution of model parameters in the presence.It employed a differential evolution strategy to perturb the vectors to generate candidate solutions to optimize the initial distribu-tion uniformity of potential solutions.In the search phase,combining with the t-distribution strategy,the search range of the algorithm could be expanded according to the probability value to improve the global search capability of the algorithm.The results show that the proposed model is an effective method for computer performance evaluation.关键词
计算机性能评估/可拓云理论/最优云熵/向量加权平均算法/差分进化策略/t分布策略Key words
computer performance evaluation/extensible cloud theory/optimal cloud entropy/weighted mean of vectors(INFO)/differential evolution strategy/t-distribution strategy分类
信息技术与安全科学引用本文复制引用
李冬,杨攀飞,廉建芳,赵立新..基于改进INFO算法的新型可拓云计算机性能评估模型[J].计算机应用研究,2023,40(12):3614-3620,7.
