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A new big data storage architecture with intrinsic search engines

机译:具有内在搜索引擎的新型大数据存储架构

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摘要

The data storage system is central in determining the performance and cost in data mining or ITS. As the computing power of servers has increased so have the problems caused by the bottlenecks from slower storage protocol interfaces, which restrict data throughput and the accessing raw data from the physical storage systems. This paper presented new big data storage architecture to optimize the efficiency of data mining or mass surveillance by integrating a distributed and embedded searching engine inside each storage drive. By integrating the intrinsic search engine (iSearch) into the core controller chip some of the work of searching for patterns and keywords takes place inside the drive freeing up resources of a higher level host and ultimately the server. Only those drives, in which the expected pattern or keywords were detected, are analyzed by the higher level host. Not only does iSearch free up the server for other high level computing tasks it also helps preserve as the bandwidth of the big data storage interface. (C) 2015 Elsevier B.V. All rights reserved.
机译:数据存储系统对于确定数据挖掘或ITS的性能和成本至关重要。随着服务器计算能力的提高,由较慢的存储协议接口引起的瓶颈所带来的问题也随之增加,这些问题限制了数据吞吐量以及从物理存储系统访问原始数据。本文提出了一种新的大数据存储架构,该架构通过在每个存储驱动器内部集成分布式和嵌入式搜索引擎来优化数据挖掘或海量监视的效率。通过将内部搜索引擎(iSearch)集成到核心控制器芯片中,一些搜索模式和关键字的工作发生在驱动器内部,从而释放了更高级别的主机和服务器的资源。较高级别的主机仅分析其中检测到预期模式或关键字的那些驱动器。 iSearch不仅可以释放服务器以执行其他高级计算任务,而且还有助于保留大数据存储接口的带宽。 (C)2015 Elsevier B.V.保留所有权利。

著录项

  • 来源
    《Neurocomputing》 |2016年第12期|147-152|共6页
  • 作者单位

    Hangzhou Dianzi Univ, Microelect Res Inst, Hangzhou 310018, Zhejiang, Peoples R China;

    Hangzhou Dianzi Univ, Microelect Res Inst, Hangzhou 310018, Zhejiang, Peoples R China;

    Zhejiang Vocat Coll Commerce, Hangzhou 310018, Zhejiang, Peoples R China;

    Sage Microelect Corp, 910 Campisi Way, Campbell, CA 95008 USA;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Big data; Data storage; SSD; iSearch;

    机译:大数据;数据存储;SSD;iSearch;

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