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System and method for executing map-reduce tasks in a storage device

机译:在存储设备中执行映射减少任务的系统和方法

摘要

A system and method of providing enhanced data processing and analysis in an infrastructure for distributed computing and large-scale data processing. This infrastructure uses the Hadoop™ framework to divide an application into a large number of small fragments of work, each of which may be performed on one of a large number of compute nodes. The work may involve map tasks and reduce tasks which may be used to categorize and analyze large amounts of data in distributed systems. This infrastructure includes a cluster with a master node and a plurality of slave nodes. The slave nodes may include, or may be, intelligent solid-state drives capable of executing Map-Reduce functions. The use of intelligent solid-state drives reduces the need to exchange data with a CPU in a server.
机译:一种在基础设施中提供增强的数据处理和分析的系统和方法,用于分布式计算和大规模数据处理。该基础架构使用Hadoop™框架将应用程序划分为大量的小片段,每个片段可以在大量计算节点之一上执行。这项工作可能涉及地图任务并减少可用于对分布式系统中的大量数据进行分类和分析的任务。该基础设施包括具有主节点和多个从节点的集群。从节点可以包括或者可以是能够执行Map-Reduce功能的智能固态驱动器。智能固态驱动器的使用减少了与服务器中的CPU交换数据的需求。

著录项

  • 公开/公告号US8819335B1

    专利类型

  • 公开/公告日2014-08-26

    原文格式PDF

  • 申请/专利权人 NXGN DATA INC.;

    申请/专利号US201314015815

  • 发明设计人 NADER SALESSI;JOAO ALCANTARA;

    申请日2013-08-30

  • 分类号G06F12/02;G06F3/06;G06F17/30;

  • 国家 US

  • 入库时间 2022-08-21 16:03:42

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