| 云计算环境下改进蚁群算法对资源搜索的应用研究 |
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| 引用本文： | 刘冬梅.云计算环境下改进蚁群算法对资源搜索的应用研究[J].辽宁高职学报,2013(10):76-78. |
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| 作者姓名： | 刘冬梅 |
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| 作者单位： | 铁岭师范高等专科学校,辽宁 铁岭112000 |
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| 摘 要： | 云计算是一种新兴的资源使用和计算交互模型，对于用户提出的服务需求，要对大量的计算资源进行搜索，以寻找最优资源。如何高效搜索计算资源成为云计算模型中所要解决的问题。针对蚁群算法的缺陷，改进了信息素更新策略，改进了状态转移概率，引入了拥挤度的概念，改善了算法的全局寻优能力。
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| 关 键 词： | 蚁群算法 资源搜索 拥挤度 |
The Applied Research of Improving Ant Colony Algorithm Search for Resources in Cloud Computing Environment |
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| LIU Dong-mei.The Applied Research of Improving Ant Colony Algorithm Search for Resources in Cloud Computing Environment[J].Liaoning Higher Vocational Technical Institute Journal,2013(10):76-78. |
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| Authors: | LIU Dong-mei |
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| Institution: | LIU Dong-mei (Tieling Teachers College, Tieling 112000, China) |
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| Abstract: | Cloud computing is an emerging mutual model of resources use and computing. In order to satisfy users＆#39; service needs, it is necessary to search for optimal resources among a large number of computing resources. How to efficiently search computing resources has become a problem to be solved in the cloud computing model. Based on the defects of ant colony algorithm , it improves pherom one updating strategy and the state transition probability, introduces the concept of congestion level, and improves the global optim ization ability of the algorithm . |
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| Keywords: | ant colony algorithm resource search congestion |
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