Dataflow model and its applications in big data processing

Unbounded,unordered and large scale datasets are increasingly common in recent years.Meanwhile,the processing requirements from data consumers are becoming more and more sophisticated,such as event time,window and latency.In order to deal with the evolved processing requirements on these unbounded,u...

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Main Authors: Nifei BI, Guangyao DING, Qihang CHEN, Chen XU, Aoying ZHOU
Format: Article
Language:zho
Published: China InfoCom Media Group 2020-05-01
Series:大数据
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Online Access:http://www.j-bigdataresearch.com.cn/thesisDetails#10.11959/j.issn.2096-0271.2020025
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author Nifei BI
Guangyao DING
Qihang CHEN
Chen XU
Aoying ZHOU
author_facet Nifei BI
Guangyao DING
Qihang CHEN
Chen XU
Aoying ZHOU
author_sort Nifei BI
collection DOAJ
description Unbounded,unordered and large scale datasets are increasingly common in recent years.Meanwhile,the processing requirements from data consumers are becoming more and more sophisticated,such as event time,window and latency.In order to deal with the evolved processing requirements on these unbounded,unordered and large scale datasets,the dataflow model in big data processing was introduced.On one hand,the dataflow graph of the dataflow model in big data processing was analyzed from the level of execution engine.On other hand,the dataflow programming model of the dataflow model in big data processing was analyzed from the level of unified programming.Furthermore,the different implementations of dataflow graph and dataflow programming model in multiple execution engines were analyzed,including Spark,a batch processing engine,and Flink,a stream processing engine.
format Article
id doaj-art-e3140aba225e47b687731ea4829c290d
institution OA Journals
issn 2096-0271
language zho
publishDate 2020-05-01
publisher China InfoCom Media Group
record_format Article
series 大数据
spelling doaj-art-e3140aba225e47b687731ea4829c290d2025-08-20T02:08:54ZzhoChina InfoCom Media Group大数据2096-02712020-05-0162020025159536616Dataflow model and its applications in big data processingNifei BIGuangyao DINGQihang CHENChen XUAoying ZHOUUnbounded,unordered and large scale datasets are increasingly common in recent years.Meanwhile,the processing requirements from data consumers are becoming more and more sophisticated,such as event time,window and latency.In order to deal with the evolved processing requirements on these unbounded,unordered and large scale datasets,the dataflow model in big data processing was introduced.On one hand,the dataflow graph of the dataflow model in big data processing was analyzed from the level of execution engine.On other hand,the dataflow programming model of the dataflow model in big data processing was analyzed from the level of unified programming.Furthermore,the different implementations of dataflow graph and dataflow programming model in multiple execution engines were analyzed,including Spark,a batch processing engine,and Flink,a stream processing engine.http://www.j-bigdataresearch.com.cn/thesisDetails#10.11959/j.issn.2096-0271.2020025dataflow model;big data processing;execution engine;unified programming
spellingShingle Nifei BI
Guangyao DING
Qihang CHEN
Chen XU
Aoying ZHOU
Dataflow model and its applications in big data processing
大数据
dataflow model;big data processing;execution engine;unified programming
title Dataflow model and its applications in big data processing
title_full Dataflow model and its applications in big data processing
title_fullStr Dataflow model and its applications in big data processing
title_full_unstemmed Dataflow model and its applications in big data processing
title_short Dataflow model and its applications in big data processing
title_sort dataflow model and its applications in big data processing
topic dataflow model;big data processing;execution engine;unified programming
url http://www.j-bigdataresearch.com.cn/thesisDetails#10.11959/j.issn.2096-0271.2020025
work_keys_str_mv AT nifeibi dataflowmodelanditsapplicationsinbigdataprocessing
AT guangyaoding dataflowmodelanditsapplicationsinbigdataprocessing
AT qihangchen dataflowmodelanditsapplicationsinbigdataprocessing
AT chenxu dataflowmodelanditsapplicationsinbigdataprocessing
AT aoyingzhou dataflowmodelanditsapplicationsinbigdataprocessing