What is the translation of " LARGE CLUSTERS " in Chinese?

• large clusters
• 大型集群

Examples of using Large clusters in English and their translations into Chinese

Many NoSQL systems run on nodes and large clusters.
很多NoSQL系统都运行在众多的节点或者大型集群上。

But how these large clusters were ultimately assembled and grew is still a mystery.
但是，这些大型集群如何最终聚集并成长仍然是一个谜。

It supports running applications on large clusters of commodity hardware.
它支持在商品硬件构建的大型集群上运行的应用程序。

MapReduce-Merge: Simplified relational data processing on large clusters.
本节内容参考MapReduce:SimplifiedDataProcessingonLargeClusters原文。

There is mainly 3 large clusters: Microsoft related, Web related and System related.
主要有三大集群:微软相关的,网络相关和系统相关。

Elasticsearch is simple to scale and attracts use cases where large clusters are required.
Elasticsearch非常易于扩展，拥有足够多的需要大集群的使用案例。

Although the database can run on large clusters, it can be installed on single server or even on a virtual machine.
虽然它是能够在大型集群操作，它可以被安装在同一服务器上，甚至在虚拟机上。

MapReduce- divides up applications into many small blocks of work for automatic parallelization and execution on large clusters.
MapReduce-将应用分解为许多小块的工作单元以在大型集群上自动并行化和执行。

Scalability: A cluster scheduler needs to scale to large clusters running many applications.
可伸缩性:集群调度程序需要扩展到运行许多应用程序的大型集群。

In 2004 Google published the research paper"MapReduce: Simplified Data Processing on Large Clusters".
这个东西最初出自于Google的论文《MapReduce:SimplifiedDataProcessingonLargeClusters》。

Scalability: A cluster scheduler needs to scale to large clusters running many applications.
可扩展性：集群调度程序需要扩展到运行许多应用程序的大型集群。

This paper spawned another one from Google-"MapReduce: Simplified Data Processing on Large Clusters".
这个东西最初出自于Google的论文《MapReduce:SimplifiedDataProcessingonLargeClusters》。

Campus green areas include fountains, a cemetery, large clusters of flowers, groves of trees, and open quadrangles.
校园绿地包括喷泉、公墓、大型集群的鲜花,树林的树木,和开放的青砖。

Another paper by Google was published, titled“MapReduce: Simplified Data Processing on Large Clusters”.
这个东西最初出自于Google的论文《MapReduce:SimplifiedDataProcessingonLargeClusters》。

MapReduce is an open-source implementation of the MapReduce: Simplified Data Processing on Large Clusters paper published by Jeff Dean and Sanjay Ghemawat at Google in 2004.
MapReduce：大型集群中的简化数据处理是有关MapReduce的开创性文章，其由JeffDean和SanjayGhemawat于2004年编写。

The origin of the idea comes from a Google paper titled MapReduce: Simplified Data Processing on Large Clusters.
这个东西最初出自于Google的论文《MapReduce:SimplifiedDataProcessingonLargeClusters》。

MapReduce: Simplified Data Processing on Large Clusters MapReduce is a programming model and an associated implementation for processing and generating large data sets.
MapReduce:SimplifiedDataProcessingonLargeClustersMapReduce既是一种编程模型，也是一种与之关联的、用于处理和产生大数据集的实现。

It was based on two of Google's papers,“Google File System” and“MapReduce: Simplified Data Processing on Large Clusters”.
这个东西最初出自于Google的论文《MapReduce:SimplifiedDataProcessingonLargeClusters》。

Additionally, the ability to perform bulk operations makes it easier to deploy and manage large clusters and provides an improved experience for end users.
此外，执行批量操作的功能让部署和管理大型集群变得更容易，从而为最终用户提供更佳的体验。

The concept of MapReduce was taken from Google's white paper titled MapReduce: Simplified Data Processing on Large Clusters.
这个东西最初出自于Google的论文《MapReduce:SimplifiedDataProcessingonLargeClusters》。

It all began with a research paper released by Google titled"Google- MapReduce: Simplified Data Processing on Large Clusters".
这个东西最初出自于Google的论文《MapReduce:SimplifiedDataProcessingonLargeClusters》。

Things changed in particular after 2004 with Google's publication of"MapReduce: Simplified Data Processing on Large Clusters"[1].
这个东西最初出自于Google的论文《MapReduce:SimplifiedDataProcessingonLargeClusters》。

At some point, Facebook had the largest cluster of Hadoop in the world.
Facebook一度拥有世界上规模较大的Hadoop集群。

At some point, Facebook had the largest cluster of Hadoop in the world.
Facebook一度拥有世界上规模最大的Hadoop集群。

Turku also has the largest cluster of pharma industry in Finland.
图尔库也有制药业的芬兰最大的集群。

At some point, Facebook had the largest cluster of Hadoop in the world.
Facebook曾有一段时间拥有世界上最大的Hadoop集群。

Most interconnect solutions are not designed to provide reliable connections when utilized in a large clustered environment, causing data transmission interruption.
同时，大大多数互连解决方案不是设计为在大型集群环境中使用时提供可靠的连接，从而导致数据传输中断。

Google's implementation of MapReduce runs on a large cluster of commodity machines and is highly scalable.
Google基于MapReduce实现在大型集群的商品机上运行并且这是高度可伸缩的。