云计算中MapReduce调度研究综述

2015 Fifth International Conference on Instrumentation and Measurement, Computer, Communication and Control (IMCCC) Pub Date : 2015-09-01 DOI:10.1109/IMCCC.2015.363

Li Liu, Yingqi Zhai

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引用次数: 0

摘要

大规模的数据处理越来越多地利用云计算平台上的Map Reduce框架。我们旨在研究Map Reduce中改进的各种job scheduler，并确定该领域的研究方向。本文简要介绍了Map Reduce和hadoop的相关技术。然后对各种Map Reduce调度器进行了回顾和分类，并对这些调度器的特点进行了阐述。

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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A Survey on MapReduce Scheduling in Cloud Computing

A large-scale data processing is increasingly leveraging Map Reduce frameworks on Cloud computing platform. We aimed to study various job schedulers improved in Map Reduce, and identify research directions in this area. In this paper, the related techniques of Map Reduce and Hodoop are described briefly. Then a variety of Map Reduce schedulers are reviewed and classified, also the features of these schedulers are expressed.

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2015 Fifth International Conference on Instrumentation and Measurement, Computer, Communication and Control (IMCCC)

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