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A replicas placement approach of component services for service-based cloud application

机译:基于服务的云应用程序组件服务的副本放置方法

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Placement of component service replicas for service-based application (SBA) in cloud environments has become increasingly important. A SBA is usually communication topology-aware, and component service replicas possess stronger data dependency than data replicas; therefore, there are huge amounts of communication between the computer nodes that are used to place component service replicas. Because the conventional methods do not consider the communication topology of component services and the relations between computer nodes, they are not appropriate for placing component service replicas. In this paper, we propose a topological matching-based component service replicas placement method that takes into account not only the topology of SBAs but also the communication performance between different computing nodes. This method first discovers the communication topology of a SBA via multi-scale graph clustering then acquires the topology of computer nodes through spectral clustering. It then places the component service replicas by matching the above two topological structures. Comprehensive experiments are conducted by comparing the performance of our method with those of other methods based on CloudSim simulation software. The results show the effectiveness of our method for improving the performance of SBAs.
机译:在云环境中,基于服务的应用程序(SBA)的组件服务副本的放置变得越来越重要。 SBA通常是可感知通信拓扑的,并且组件服务副本具有比数据副本更强的数据依赖性。因此,用于放置组件服务副本的计算机节点之间存在大量通信。因为常规方法没有考虑组件服务的通信拓扑以及计算机节点之间的关系,所以它们不适合放置组件服务副本。在本文中,我们提出了一种基于拓扑匹配的组件服务副本放置方法,该方法不仅考虑了SBA的拓扑结构,还考虑了不同计算节点之间的通信性能。该方法首先通过多尺度图聚类发现SBA的通信拓扑,然后通过频谱聚类获得计算机节点的拓扑。然后,通过匹配以上两个拓扑结构来放置组件服务副本。通过将我们的方法的性能与其他基于CloudSim仿真软件的方法的性能进行比较,进行了全面的实验。结果表明,我们的方法对于提高SBA的性能是有效的。

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