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首页> 外文期刊>IEEE Transactions on Parallel and Distributed Systems >CloudScout: A Non-Intrusive Approach to Service Dependency Discovery
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CloudScout: A Non-Intrusive Approach to Service Dependency Discovery

机译：CloudScout：服务依赖性发现的非侵入性方法

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摘要

Nowadays, numerous enterprises are migrating their applications into cloud computing environments. Typically, the applications are composed of several dependent service components that span many hosts and network devices. In light of this, exploring the dependency between service components can be beneficial for achieving fast network application response time. Moreover, it is significant to consolidate service components according to resource constraints, service dependency, and network structure. However, it is a tedious task to discover the dependency among service components without expert knowledge of the running application. In this paper, we propose CloudScout, a non-intrusive approach that is capable of automatically discovering dependent service components. CloudScout analyzes the correlation among service components based on the time-series information from system monitoring logs. We address two key challenges in CloudScout: service distance calculation and dependent service clustering. We conduct experiments on five applications with 290 service components that span 20 physical hosts across two data centers. The experimental results demonstrate that CloudScout can successfully discover the dependency among service components and facilitate reducing the network latency of network applications and distributed applications.
机译：如今，众多企业正在将其应用程序迁移到云计算环境中。通常，应用程序由跨越多个主机和网络设备的几个相关服务组件组成。鉴于此，探索服务组件之间的依赖关系对于实现快速的网络应用程序响应时间可能是有益的。而且，根据资源约束，服务依赖性和网络结构来合并服务组件非常重要。但是，在没有专家知识的情况下发现服务组件之间的依赖关系是一项繁琐的任务。在本文中，我们提出了CloudScout，这是一种非侵入性方法，能够自动发现相关的服务组件。 CloudScout根据来自系统监视日志的时间序列信息分析服务组件之间的相关性。我们解决CloudScout中的两个关键挑战：服务距离计算和相关服务集群。我们对五个应用程序进行了实验，这些应用程序具有290个服务组件，这些组件横跨两个数据中心的20个物理主机。实验结果表明，CloudScout可以成功发现服务组件之间的依赖关系，并有助于减少网络应用程序和分布式应用程序的网络延迟。

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