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Cloud-Scale Application Performance Monitoring with SDN and NFV

机译:使用SDN和NFV的云规模应用程序性能监控

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In cloud data centers, more and more services are deployed across multiple tiers to increase flexibility and scalability. However, this makes it difficult for the cloud provider to identify which tier of the application is the bottleneck and how to resolve performance problems. Existing solutions approach this problem by constantly monitoring either in end-hosts or physical switches. Host based monitoring usually needs instrumentation of application code, making it less practical, while network hardware based monitoring is expensive and requires special features in each physical switch. Instead, we believe network wide monitoring should be flexible and easy to deploy in a non-intrusive way by exploiting recent advances in software-based network services. Towards this end we are developing a distributed software-based network monitoring framework for cloud data centers. Our system leverages knowledge of topology and routing information to build relationships between each tier of the application, and detect and locate performance bottlenecks by monitoring the network inside software switches.
机译:在云数据中心中,越来越多的服务跨多层部署,以提高灵活性和可伸缩性。但是,这使云提供商难以识别应用程序的哪一层是瓶颈以及如何解决性能问题。现有的解决方案通过不断监视终端主机或物理交换机来解决此问题。基于主机的监视通常需要对应用程序代码进行检测,从而使其实用性降低,而基于网络硬件的监视则非常昂贵,并且每个物理交换机都需要特殊功能。相反,我们认为,通过利用基于软件的网络服务的最新进展,网络范围的监视应该灵活且易于以非侵入性的方式进行部署。为此,我们正在为云数据中心开发基于分布式软件的网络监视框架。我们的系统利用拓扑和路由信息的知识来建立应用程序各层之间的关系,并通过监视软件交换机内部的网络来检测和定位性能瓶颈。

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