面向基于运行时模型的云资源集成管理

Xing Chen, Y. Zhang, Xiaodong Zhang, Yihan Wu, Gang Huang, Hong Mei
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引用次数: 3

摘要

虽然有很多管理系统,但由于云资源的多样性和不断变化的管理需求,云管理仍然面临着巨大的挑战。集成和适应对于构建云管理系统非常重要,因为基于现有系统的再开发解决方案通常比从头开发管理系统更可行。但是,重建的工作量也非常大。由于运行时模型与相应的运行系统是自动因果关联的,因此基于运行时模型构建集成的云管理系统可以受益于特定于模型的特性,从而减少开发工作量。因此,本文提出了一种基于运行时模型的云管理系统构建方法。首先,我们基于每个云资源自己的管理接口构建了每个云资源的运行时模型。其次,我们通过合并分布式运行时模型构建一个反映集成管理需求的组合模型。第三,通过从复合模型到针对不同管理员的定制模型的模型转换,使云管理满足适配需求。这种体系结构级集成管理具有互操作性、可重用性和简单性等优点。在真实云中进行的实验验证了云资源集成管理的可行性、有效性和优势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Towards runtime model based integrated management of cloud resources
Although there are many management systems, Cloud management still faces with great challenges, due to the diversity of Cloud resources and ever-changing management requirements. Integration and adaptation become important for constructing a cloud management system, because a redevelopment solution based on existing systems is usually more practicable than developing the management system from scratch. However, the workload of redevelopment is also very high. As the runtime model is causally connected with the corresponding running system automatically, constructing an integrated Cloud management system based on runtime models can benefit from the model-specific natures to reduce the development workload. Therefore, in this paper, we present a runtime model based approach to constructing cloud management system. First, we construct the runtime model of each Cloud resource based on its own management interfaces. Second, we construct a composite model reflecting integration management requirements through merging the distributed runtime models. Third, we make Cloud management meet the adaptation requirements through model transformation from the composite model to the customized models specific to different administrators. Such architecture-level integrated management brings many advantages related to the interoperability, reusability and simplicity. The experiment on a real-world cloud demonstrates the feasibility, effectiveness and benefits of the new approach to integrated management of Cloud resources.
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