• There’ll be petabytes of traffic data and CCTV data.

    有数拍字节的通信数据和闭路电视数据需要处理。

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  • The largest arrays available today are about 15 petabytes in size.

    如今在用最大的存储阵列大约15拍字节。

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  • Ext4 supports file systems of up to 1 exabyte in size (1000 petabytes).

    ext4支持的最大文件系统为1 EB (1000 PB)。

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  • With some scientific experiments now generating petabytes of data, preserving it all is already becoming a major challenge.

    一些科学实验现在也在产生数拍字节(petabytes)的数据,将其保存起来也会成为一项重大的挑战。

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  • One example is Lustre, which is a massively parallel distributed file system that supports tens of thousand of nodes and scales to petabytes of storage capacity.

    一个示例就是Lustre,其是支持成千上万节点并扩展到千兆兆存储容量的大规模并行分布式文件系统。

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  • About 350 applications and 6 petabytes of data will be hosted at the center.

    该中心共将托管约350个应用程序及6pb容量的数据。

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  • One was tremendous scale. We defined that as hundreds or thousands of petabytes, even exabytes of information.

    第一是超大规模的存储,我们将它定义为成百上千个PB,甚至EB的规模。

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  • Data-intensive scientific and engineering applications often require the efficient transfer of terabytes or even petabytes of data in wide-area, distributed computing environments.

    数据密集型的科学与工程应用(如计算力学数值模拟、气象预测)需要在广域、分布式的计算环境中快速安全的传输海量的数据。

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  • Hadoop is a perfect tool to achieve this goal with its ability to work with thousands of nodes and petabytes of data and automatically handle job scheduling, partial failure, and load balancing.

    Hadoop能够处理数千个节点和pb量级的数据,可以自动地处理作业调度、部分失败和负载平衡,因此它是实现这个目标的完美工具。

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  • You can easily take the lessons from this article and apply them to petabytes of logfiles; that is the essence of why the MapReduce abstraction is a useful tool, especially in a cloud environment.

    您可以应用从本文学到的知识处理数PB的日志文件;因此,MapReduce抽象是一种非常有用的工具,尤其是在云环境中。

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  • Its advanced scale out capability coupled with automated data placement and unified management enables customers to rapidly expand storage infrastructure to multiple petabytes with minimal efforts.

    它把先进的水平扩展能力与自动的数据布置和统一的管理结合在一起,让客户能够方便、快捷地把存储基础设施扩展到数P b级。

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  • Its advanced scale out capability coupled with automated data placement and unified management enables customers to rapidly expand storage infrastructure to multiple petabytes with minimal efforts.

    它把先进的水平扩展能力与自动的数据布置和统一的管理结合在一起,让客户能够方便、快捷地把存储基础设施扩展到数P b级。

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