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动态在线Map/Reduce流数据处理模型及作业拓扑管理协议
引用本文:魏晓辉,李翔,李洪亮,李聪,庄园.动态在线Map/Reduce流数据处理模型及作业拓扑管理协议[J].吉林大学学报(理学版),2015,53(5):950-955.
作者姓名:魏晓辉  李翔  李洪亮  李聪  庄园
作者单位:吉林大学 计算机科学与技术学院, 长春 130012
摘    要:针对海量流数据的在线处理需求,提出一种不同于传统Map/Reduce流数据处理的系统模型Flexible workflow.该模型对workflow处理单元进行在线Map/Reduce并行化,实现了SPATE系统;同时为该系统定义一组关于作业的建立、管理和维护的通信规程,即拓扑管理协议.SPATE系统解决了在线Map/Reduce流数据处理过程中要求实时性及可扩展性的问题.实验验证了拓扑管理协议的有效性,拓扑管理协议能有效管理Flexible workflow流数据处理模型.

关 键 词:流数据处理  Flexible  workflow模型  Map/Reduce  拓扑管理  
收稿时间:2014-08-27

Dynamic Online Map/Reduce Stream Processing Model and Topology Management Protocol
WEI Xiaohui,LI Xiang,LI Hongliang,LI Cong,ZHUANG Yuan.Dynamic Online Map/Reduce Stream Processing Model and Topology Management Protocol[J].Journal of Jilin University: Sci Ed,2015,53(5):950-955.
Authors:WEI Xiaohui  LI Xiang  LI Hongliang  LI Cong  ZHUANG Yuan
Affiliation:College of Computer Science and Technology, Jilin University, Changchun 130012, China
Abstract:To meet the requirements for online processing massive stream data, the authors proposed a novel system model, Flexible workflow, whichis different from the traditional Map/Reduce stream data processing. This modelconducts the online Map/Reduce parallelization of the process unit of workflow and executes a system of SPATE. A set of topology management protocol was designed for dynamic online Map/Reduce stream data processing model. The protocol includes a group of communication rules about setting up, managing and maintaining jobs. The experimental results validate the topology management protocol is effective, and can manage the Flexible workflow processing model availably.
Keywords:steam processing  Flexible workflow model  Map/Reduce  topology management  
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