DocumentCode :
3579205
Title :
A Computing Model for Real-Time Stream Processing
Author :
Li Zhao ; Zhang Chuang ; Xu Ke-Fu ; Chen Meng-Meng
Author_Institution :
Inst. of Inf. Eng., Beijing, China
fYear :
2014
Firstpage :
134
Lastpage :
137
Abstract :
For two main problems of the existing stream processing model: lack of support for iterative computing and tight coupling, the paper proposes a real-time stream processing model based on directed graph with sources and sinks, which supports both general DAG computing by means of directed circle detection and iteration protection as well as iterative feedback stream computing of directed circles, tow-way arcs and ring arcs. On this basis, the paper has implemented a set of flexible and loosely-coupled interfaces, which supports functional programming and runs executable program directly to achieve language independence without performance loss. This computing model is applicable to a wider range with more flexible interfaces and provides an effective approach to complicated stream computing.
Keywords :
data mining; directed graphs; iterative methods; DAG computing; computing model; directed circle detection; directed circles; directed graph; graph sinks; graph source; iteration protection; iterative computing; iterative feedback stream computing; realtime stream processing model; ring arcs; tow-way arcs; Business; Computational modeling; Data models; Delays; Programming; Real-time systems; Throughput; computing model; directed circle detection; directed graph with sources and sinks; loosely-coupled business interfaces; real-time stream processing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cloud Computing and Big Data (CCBD), 2014 International Conference on
Type :
conf
DOI :
10.1109/CCBD.2014.26
Filename :
7062885
Link To Document :
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