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A network-aware distributed storage cache for data intensive environments

机译:用于数据密集型环境的网络感知型分布式存储缓存

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Modern scientific computing involves organizing, moving, visualizing, and analyzing massive amounts of data at multiple sites around the world. The technologies, the middleware services, and the architectures that are used to build useful high-speed, wide area distributed systems, constitute the field of data intensive computing. We describe an architecture for data intensive applications where we use a high-speed distributed data cache as a common element for all of the sources and sinks of data. This cache-based approach provides standard interfaces to a large, application-oriented, distributed, on-line, transient storage system. We describe our implementation of this cache, how we have made it "network aware ", and how we do dynamic load balancing based on the current network conditions. We also show large increases in application throughput by access to knowledge of the network conditions.
机译:现代科学计算涉及在世界各地的多个地点组织,移动,可视化和分析大量数据。用于构建有用的高速,广域分布式系统的技术,中间件服务和体系结构构成了数据密集型计算领域。我们描述了一种数据密集型应用程序的体系结构,在该体系结构中,我们使用高速分布式数据缓存作为所有数据源和数据宿的通用元素。这种基于缓存的方法为大型的,面向应用程序的,分布式,在线,瞬时存储系统提供了标准接口。我们描述了此缓存的实现,如何使其“具有网络意识”以及如何根据当前网络状况进行动态负载平衡。通过访问网络状况的知识,我们还显示了应用程序吞吐量的大幅提高。

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