摘要
对云计算中资源定位查找问题的深入研究,能够有效提高云计算下资源利用效率,节省资源提取时长。关于云计算中资源定位的优化查找,需要确定资源节点间属性近似度,获取转发概率过程中资源的权重关系,完成对资源定位查找。传统方法将具有关联性的资源汇聚在相同资源簇内,资源属性值划分不同区段,但忽略了对资源之间权重关系的求取,导致资源定位查找精度偏低。提出云计算中资源定位优化查找方法。计算云计算中节点的资源可用度,并将可用度较高的节点主机视为资源查找的目的地,获取资源节点间属性近似度,将资源分类至不同的虚拟组织中,构建出覆盖式云计算环境下资源查找模型,以动态调整节点价值和信息素在计算资源转发概率过程中的权重关系。实验结果表明,上述方法可以显著提高资源查找过程中的覆盖率,查找开销远小于现行资源查找方法。
Traditional optimization search method for resource location in cloud computing always ignores solution of weight relation among resources, which leads to poor search precision. In order to solve the problem, a new optimization search method is proposed in this article. Resource availability of node in cloud computing is calculated and mainframe of node with high availability is regarded as destination of the resource search： Degree of attribute approximation among resource nodes is acquired and resource is classified to different virtual organizations to build model for resource search under overlay cloud computing environment. Value of node and pheromone are adjusted dynamically to calculate weight relation in process of resource forwarding probability. Experimental results show that the method can improve coverage rate during resource search apparently. Search overhead is much less than current source search method.
出处
《计算机仿真》
北大核心
2018年第3期283-286,共4页
Computer Simulation
基金
重庆市高等教育教学改革研究项目(173194)
关键词
云计算
资源定位
最优查找
Cloud computing
Resource location
Optimization search
作者简介
胡洪林（1981-），男（汉族），陕西镇安人，硕士研究生，讲师，研究方向：多媒体技术，网络安全；;毕孝儒（1975-），男（汉族），陕西宝鸡人，硕士研究生，讲师，研究方向：云计算技术。
