The recent growth in the adoption by several organizations of cloud computing services has created the challenge to determine their performance of information model. The ability of cloud computing systems to provide the required services in line with the quality of service and service level agreement constraints is a major problem for cloud service providers and consumers. To that end, it is possible to develop the means of ensuring that the desired levels of success are achieved in simulated environments. In the eventual stage of commissioning and running cloud computing, this will reduce the disrupted service and performance degradation problems using analytical communication and information model of cloud technology. However, several modelers and simulators for simulating cloud computing systems are available in conventional research. This paper, therefore, provides a critical assessment with state of the art cloud computing modeling and simulation frameworks. It compares the prominent frameworks of simulation regarding application programming interface features, programming flexibility, operating system requirements, services supported, and licensing needs with 95% reliability. It offers recommendations to the researchers, administrators, and managers of cloud computing systems regarding the choice of the most appropriate framework.

中文翻译：

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云共享平台教学资源解析通信与信息模型设计研究

几个组织对云计算服务采用率的最近增长给确定其信息模型的性能提出了挑战。云计算系统提供与服务质量和服务级别协议约束一致的所需服务的能力是云服务提供商和消费者的主要问题。为此，可以开发一种方法来确保在模拟环境中达到期望的成功水平。在调试和运行云计算的最终阶段，这将使用云技术的分析通信和信息模型来减少服务中断和性能下降的问题。但是，在常规研究中可以使用几种用于模拟云计算系统的建模器和模拟器。因此，本文提供了有关最新的云计算建模和仿真框架的关键评估。它以95％的可靠性比较了有关应用程序编程接口功能，编程灵活性，操作系统要求，支持的服务和许可需求的主要仿真框架。它为云计算系统的研究人员，管理员和管理人员提供了有关选择最合适框架的建议。