DISTRIBUTED FILE SYSTEM - 翻译成中文

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分布式文件系统
distributed file system

在 英语 中使用 Distributed file system 的示例及其翻译为 中文

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IPFS also accounts for how those files move across the network(via protocols), so it is also a distributed file system.
IPFS也记录了这些文件是如何在网络中进行传输的,所以,它也是一个分布式文件系统
Today, in part one, I'm going to show you how to set up a distributed file system on a Windows 2003 server.
在第一部分中,现在我将要向你介绍如何在Windows2003server中创建一个分布式文件系统
Of course many people are merging the two by using Spark's processing speed on data stored in Hadoop's distributed file system.
当然,很多人将这两者结合使用,在Hadoop分布式文件系统中利用Spark的数据处理速度优势。
For example, as a distributed file system, Ceph FS has to deal with multiple writes from multiple clients.
举个例子,作为一个分布式的文件系统,CephFS必须去处理来自多终端的并发写入。
It use a distributed file system so that disk I/O can be done in parallel.
它的使用分布式的文件系统,从而使多个I/O操作能够并行。
Furthermore, there is a cloud distributed file system that enables the syncing of files across multiple sites, extending the NAS architecture to cloud and globally.
此外,还有一个云分布式文件系统,可以跨多个站点同步文件,将NAS架构扩展到云端和全局。
IPFS is a peer-to-peer distributed file system that seeks to connect all computing devices with the same system of files..
IPFS是一个对等的分布式文件系统,它尝试为所有计算设备连接同一个文件系统。
Red Hat-owned Gluster is a distributed file system that can handle big data- up to 72 brontobytes.
RedHat旗下的Gluster是一个分布式的文件系统,可以处理的最大数据高达72brontobytes。
It uses BigTable to store all persistent metadata, and it uses Colossus(Google's distributed file system) to store the data files..
它使用了BigTable来存储所有持久化的元数据,使用了Colossus(Google的分布式文件系统)来存储数据文件。
Its distributed file system facilitates rapid data transfer among nodes and allows the system to continue operating, uninterrupted, in case of a node failure.
分布式文件系统(DFS)有利于节点间快速的数据传输,并使系统在某个节点运行失败的情况下能不受干扰继续运行。
However, Flink can also access Hadoop's distributed file system(HDFS) to read and write data, and Hadoop's next-generation resource manager(YARN) to provision cluster resources.
但是,Flink还可以访问Hadoop的分布式文件系统(HDFS)来读取和写入数据,以及Hadoop的下一代资源管理器(YARN)来配置群集资源。
It provides key elements of a data lake- Hadoop Distributed File System(HDFS), Spark, and analytics tools- deeply integrated with SQL Server and fully supported by Microsoft.
它们提供了数据湖的关键元素(Hadoop分布式文件系统(HDFS)、ApacheSpark和分析工具),与SQLServer深度集成,并得到Microsoft的完全支持。
This can mean using a distributed file system(something like Gluster) to treat many computers' drives like they're part of a single volume;
这可能意味着使用分布式文件系统(如Gluster)来处理许多计算机驱动器,就像它们是单个卷的一部分;.
It provides key elements of a data lake- Hadoop Distributed File System(HDFS), Spark, and analytics tools- deeply integrated with SQL Server and fully supported by Microsoft.
它提供了数据湖的关键元素--Hadoop分布式文件系统(HDFS)、Spark和分析工具--与SQLServer深度集成,并得到微软的全面支持。
Google's file system, operating system, MapReduce applications and Hadoop Distributed File System[HDFS] are mostly built on Java, which introduces its own set of problems.
谷歌的文件系统、运行系统、MapReduce应用以及分布式文件系统(HDFS)几乎都以Java为基础,从而引发了一系列问题。
Quantcast File System(QFS) is a high-performance, fault-tolerant, distributed file system developed to support MapReduce processing, or other applications reading and writing large files sequentially.
QuantcastFileSystem(QFS)是一个高性能、容错、分布式的文件系统,其开发是用于支持MapReduce处理或者需要顺序读写大文件的应用。
It has numerous similarities with the existing distributed file systems.
它与现有的分布式文件系统有许多相似之处。
However, there are significant differences from other distributed file systems.
但是,也于其他的分布式文件系统有显著的差异。
However, the differences from other distributed file systems are significant.
但是,与其他分布式文件系统的区别是显著的。
However, there are significant differences from other distributed file systems.
但是,与其他分布式文件系统的差异很大。
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