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A distributed application execution system for an infrastructure with dynamically configured networks

机译:具有动态配置网络的基础架构的分布式应用程序执行系统

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We have been developing a middleware suite called GridARS that enables co-allocation of computing and network resources from multiple administration sites. In such middleware, it is important to provide each user application with a slice which is a set of dynamically allocated resources distributed across sites. However, there are the following issues in constructing such a slice automatically: 1) multi-site administration heterogeneity, 2) dynamic determination of application configuration information, 3) distributed resource monitoring, and 4) asymmetric network reachability. We design and implement an application execution system that provides each application with a slice, that mimics a conventional computing cluster system over the dynamically allocated resources. From the demonstration of the proposed system on an emulated wide area network environment, we confirmed that: first, the proposed system can fully automate resource allocation, slice construction, application invocation, and resource monitoring, in coordination with GridARS. Second, the proposed system can setup a slice quickly, even if the allocated resources are widely distributed and their communication latencies are high. This is because the overhead for gathering and distributing contextualization information is small, and OS-level virtualization and stackable file system technologies accelerate the contextualization process at each node.
机译:我们一直在开发一个名为Gridars的中间件套件,它可以协同分配来自多个管理站点的计算和网络资源。在这样的中间件中,向每个用户应用程序提供一组分布在站点的一组动态分配的资源。然而,在自动构建这种切片时存在以下问题:1)多站点管理异质性,2)动态确定应用配置信息,3)分布式资源监视和4)不对称网络可达性。我们设计并实现一个应用程序执行系统,该应用程序提供具有切片的每个应用程序,该应用程序通过动态分配的资源模仿传统的计算群集系统。从拟议系统的示范中对模拟的广域网环境,我们确认:首先,建议的系统可以充分自动化资源分配,切片构建,应用程序调用和资源监控,与格蒂尔协调。其次,即使分配的资源广泛分布,所提出的系统也可以快速设置切片,并且它们的通信延迟高。这是因为收集和分发上下文信息的开销很小,并且OS级虚拟化和可堆叠文件系统技术在每个节点上加速上下文化过程。

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