Cloud computing Web systems are today the most important part of the Web. Many companies transfer their services to the cloud in order to avoid infrastructure aging and thus preventing less efficient computing. Distribution of the load is a crucial problem in cloud computing systems. Due to the specifics of network traffic, providing an acceptable time of access to the Web content is not trivial. The utilization of the load distribution with adaptive intelligent distribution strategies can deliver the highest quality of service, short service time and reduce the costs. In the article, a new, two-level, intelligent HTTP request distribution strategy is presented. In the process of designing the architecture of the proposed solution, the results of earlier studies and experiments were taken into account. The proposed decision system contains fuzzy-neural models yielding minimal service times in the Web cloud. The article contains a description of the new solution and the test-bed. In the end, the results of the experiments are discussed and conclusions and presented.

中文翻译：

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基于云的Web系统中的二级模糊神经负载分配策略

今天，云计算Web系统是Web中最重要的部分。许多公司将其服务转移到云中，以避免基础架构老化，从而防止效率较低的计算。负载分配是云计算系统中的关键问题。由于网络流量的特殊性，提供可接受的访问Web内容的时间并非易事。通过自适应智能分配策略利用负载分配可以提供最高的服务质量，较短的服务时间并降低成本。在本文中，提出了一种新的两级智能HTTP请求分发策略。在设计所提出解决方案的体系结构的过程中，考虑了早期研究和实验的结果。所提出的决策系统包含模糊神经模型，可在Web云中产生最少的服务时间。本文包含对新解决方案和测试平台的描述。最后，对实验结果进行了讨论，并提出了结论。