Recently, a new management and resource delivery model based on self-organization and self-management (SOSM) principles for heterogeneous cloud infrastructures was proposed. The novel architecture was designed and implemented for the provision of cloud resources for delivering high performance computing services. The cost of deployment of such framework on large-scale cloud infrastructures is prohibitive, thus discrete-time simulation techniques were adopted in order to evaluate its efficiency and scalability. In this work, extensive simulation experimentation is being reported and discussed, concerning four evaluation criteria, for comparing the traditional centralized resources allocation scheme to the alternative of SOSM. From the results obtained, it can be derived that SOSM can provide improved service delivery, computational efficiency, power consumption, scalability and management of resources for millions of cloud nodes, compared to the centralized resource allocation approach.

中文翻译：

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通过离散时间仿真评估自组织和自管理异构高性能计算云

最近，针对异构云基础设施提出了一种基于自组织和自管理（SOSM）原则的新的管理和资源交付模型。新架构的设计和实施是为了提供云资源以提供高性能计算服务。在大规模云基础设施上部署此类框架的成本令人望而却步，因此采用离散时间模拟技术来评估其效率和可扩展性。在这项工作中，正在报告和讨论广泛的模拟实验，涉及四个评估标准，用于将传统的集中资源分配方案与 SOSM 的替代方案进行比较。从获得的结果可以得出，SOSM 可以提供改进的服务交付、计算效率、