计算机系统应用
計算機繫統應用
계산궤계통응용
APPLICATIONS OF THE COMPUTER SYSTEMS
2014年
4期
1-6,11
,共7页
MapReduce%Hadoop%并行计算%大数据处理
MapReduce%Hadoop%併行計算%大數據處理
MapReduce%Hadoop%병행계산%대수거처리
MapReduce%Hadoop%parallel computing%big data processing
经过几年的发展,并行编程模型MapReduce产生了若干个改进框架,它们都是针对传统MapReduce的不足进行的修正或重写。本文阐述和分析了这些研究成果,包括:以 HaLoop 为代表的迭代计算框架、以 Twitter Storm为代表的实时计算框架、以Apache Hama为代表的图计算框架以及以Apache YARN为代表的框架管理平台。这些专用系统在大数据领域发挥着越来越重要的作用。
經過幾年的髮展,併行編程模型MapReduce產生瞭若榦箇改進框架,它們都是針對傳統MapReduce的不足進行的脩正或重寫。本文闡述和分析瞭這些研究成果,包括:以 HaLoop 為代錶的迭代計算框架、以 Twitter Storm為代錶的實時計算框架、以Apache Hama為代錶的圖計算框架以及以Apache YARN為代錶的框架管理平檯。這些專用繫統在大數據領域髮揮著越來越重要的作用。
경과궤년적발전,병행편정모형MapReduce산생료약간개개진광가,타문도시침대전통MapReduce적불족진행적수정혹중사。본문천술화분석료저사연구성과,포괄:이 HaLoop 위대표적질대계산광가、이 Twitter Storm위대표적실시계산광가、이Apache Hama위대표적도계산광가이급이Apache YARN위대표적광가관리평태。저사전용계통재대수거영역발휘착월래월중요적작용。
With the rapid development of recent years, some improved framework of MapReduce parallel programming model appeared. They are correction and recoding against lack of MRv1. This paper describes and analyzes this research achievements, including iterative computing framework as represented by HaLoop, real-time computing framework as represented by Twitter Storm, graph computing framework as represented by Apache Hama, computing resources negotiation platform as represented by Apache YARN. These special systems play a vital role in BigData fields.