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Computing Resource Allocation for Enterprise Information Management Based on Cloud Platform Ant Colony Optimization Algorithm

机译:基于云平台蚁群优化算法的企业信息管理计算资源分配

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The paper allocated a method to optimize the management pattern under cloud computing environment according to the current situation of Enterprise Information Management. The method used Ant Colony Optimization (ACO) as basic foundation to satisfy the property of Cloud Computing. CloudSim was also set up as the simulation to imitate the cloud environment and the test of computing. The algorithm prognosticated the capability of the potential available resource node when being allocated and analyzed the usage of bandwidth, the quality of networks and the response time. This algorithm met the needs of limitation of resource with better performance and has shorter response time.
机译:本文根据企业信息管理当前情况,分配了一种优化云计算环境下的管理模式的方法。该方法使用蚁群优化(ACO)作为满足云计算性质的基础基础。 CloudSim还设置为模拟模拟,以模仿云环境和计算的测试。该算法在分配和分析使用带宽,网络质量和响应时间时,算法预测了潜在的可用资源节点的能力。该算法满足了具有更好性能的资源限制的需要,并且具有更短的响应时间。

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