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Model-based Planning for State-related Changes to Infrastructure and Software as aService Instances in Large Data Centers

机译:基于模型的基础设施和软件的计划计划作为大型数据中心的服务实例

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To deliver 3-tier applications as a Service in the Cloud state-related constraints crossing Infrastructure- and Software as a Service boundaries need to be managed. By automating the lifecycle of applications like databases, load balancers, and web application servers rich SaaS business services can be provided in the Cloud. We propose an object oriented planning approach based on state constraints to plan for changes of SaaS and IaaS components in the Cloud. We evaluate techniques for fast storing and restoring of large object oriented Configuration Management Databases and show that enforcing constraints in a procedural instead of a declarative way offers huge performance improvements. The advantages of our approach lie within the tight integration of the planning algorithm with object oriented models frequently used for Configuration Management Databases. In addition to that, the algorithm scales to a large number of nodes and preserves its runtime even for large, heavily loaded data centers.
机译:要将3层应用程序作为服务中的服务,以云状态相关的约束交叉基础架构和软件,以及需要管理服务边界。通过自动化数据库,负载均衡器和Web应用程序服务器等应用程序的生命周期,可以在云中提供丰富的SaaS业务服务。我们提出了一种基于国家限制的面向对象的规划方法,计划云中SaaS和IAAS组件的变化。我们评估快速存储和恢复大型面向对象的配置管理数据库的技术,并显示在程序中执行限制而不是声明方式提供了巨大的性能改进。我们的方法的优势在于规划算法的规划算法与经常用于配置管理数据库的对象模型的紧密集成。除此之外,算法还要缩放到大量节点,即使对于大型大量加载的数据中心,也可以保留其运行时。

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