MapReduce全面回顾

2018 International Conference on Smart Computing and Electronic Enterprise (ICSCEE) Pub Date : 2018-07-01 DOI:10.1109/ICSCEE.2018.8538364

M. Al-Khasawneh, S. Shamsuddin, S. Hasan, A. Bakar

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引用次数: 4

摘要

MapReduce包含了一个在分布式集群中处理和管理大规模数据集的框架。该框架已应用于搜索索引生成、访问日志分析、文档聚类和其他数据分析等多个应用中。MapReduce采用了灵活的计算模型，采用了包含map和reduce功能的简单接口。该接口可根据应用程序开发人员进行定制。MapReduce已经引起了许多学者的兴趣，他们的兴趣一直在提高其可用性和效率，以支持以数据库为中心的操作。因此，本文提供了一个完整的回顾，关于大量的建议和系统，主要集中在使用MapReduce框架支持分布式数据管理和处理。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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MapReduce a Comprehensive Review

MapReduce encompasses a framework in the processing and management of large scale datasets within a distributed cluster. The framework has been employed in several applications including search indexes generation, analysis of access log, document clustering, and other data analytics. A flexible computation model is adopted in MapReduce in addition to plain interface which comprises the functions of map and reduce. The interface is customizable based on application developers. MapReduce has captured the interest among many scholars whereby the interest has been on increasing its usability and efficiency in support to database-centric operations. Accordingly, this paper provides a complete review regarding a vast continuum of proposals and systems concentrating basically on the support of distributed data management and processing with the use of the framework of MapReduce.

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2018 International Conference on Smart Computing and Electronic Enterprise (ICSCEE)

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