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Using the Active Storage Fabrics Model to Address Petascale Storage Challenges

机译:使用主动存储结构模型应对Petascale存储挑战

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摘要

We present the Active Storage Fabrics (ASF) model for storage embedded parallel processing as a way to address petascale data intensive challenges. ASF is aimed at emerging scalable system-on-a-chip, storage class memory architectures, but may be realized in prototype form on current parallel systems. ASF can be used to transparently accelerate host workloads by close integration at the middleware data/storage boundary or directly by data intensive applications. We provide an overview of the major components involved in accelerating a parallel file system and a relational database management system, describe some early results, and outline our current research directions.
机译:我们提出了用于存储嵌入式并行处理的Active Storage Fabrics(ASF)模型,以解决PB级数据密集型挑战。 ASF的目标是新兴的可扩展的片上系统存储类内存体系结构,但可以在当前的并行系统上以原型形式实现。通过在中间件数据/存储边界的紧密集成或直接由数据密集型应用程序使用ASF,可以透明地加速主机工作负载。我们概述了加速并行文件系统和关系数据库管理系统所涉及的主要组件,描述了一些早期结果,并概述了我们当前的研究方向。

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