DocumentCode :
660657
Title :
Resolve Hotspots and Load Imbalance Problem in Event Stream Processing System
Author :
BaoJian Zhou ; Zhongzhi Luan ; Jieqian Wu ; Ming Xie
Author_Institution :
Sino-German Joint Software Inst., Beihang Univ., Beijing, China
fYear :
2013
fDate :
4-6 Nov. 2013
Firstpage :
158
Lastpage :
159
Abstract :
Event stream processing is the system which uses the processing element to process the data in streams of an application. The processing element (PE) is the computing unit that can handle and compute the metadata in the stream queue. However, there are two problems. First problem is that hotspots maybe happen when applications run in cluster environment; the second problem is load imbalance in the cluster when hotspots appear in that system. Therefore, in this paper, we mainly research how the hotspots happen and how to resolve the imbalance problem caused by hotspots.
Keywords :
distributed processing; meta data; resource allocation; cluster environment; event stream processing system; hotspots; load imbalance problem; metadata; processing element; stream queue; Benchmark testing; Cloud computing; Clustering algorithms; Computational modeling; Load modeling; Prototypes; Radiation detectors; Event Stream; Hotspot; Load Imbalance; PE;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cloud and Service Computing (CSC), 2013 International Conference on
Conference_Location :
Beijing
Type :
conf
DOI :
10.1109/CSC.2013.34
Filename :
6693196
Link To Document :
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