NDLI: Using Paralleled-PEs Method to Resolve the Bursting Data in Distributed Stream Processing System

Content Provider	IEEE Xplore Digital Library
Author	Baojian Zhou Zhongzhi Luan Jieqian Wu Ming Xie
Copyright Year	2013
Description	Author affiliation: Beijing Key Lab. of Comput. Network, Beihang Univ., Beijing, China (Baojian Zhou; Zhongzhi Luan; Jieqian Wu) \|\| Tencent Crop., Shenzhen, China (Ming Xie)
Abstract	The distributed stream processing applications (DSPA) are the applications which can process real-time data in the distributed environment. These applications contain processing elements (PE) and different kinds of streams in the cluster or cloud environment. However, this kind of applications maybe have hotspots and bursting data in a very short of time when they running in the cluster or cloud. Furthermore, the resources such as memory and CPU power in each node of an environment can lead to resources imbalance because these applications always run in a long time. Considering two problems above, in this paper, we proposed a paralleled-PEs method to relieve the hotspots and bursting data in DSPA. We also approach a dynamic and situational awareness method which can combine with paralleled-PEs method to relieve imbalance situations and improve the utilization of resource. We use some shell scripts and java packages to implement our methods. In our experiments, we deploy these two methods in the S4 system framework which is an open source stream computation platform. And in the experiments evaluation, the results show that our methods have a lower delay, better resources utilization. The results also show that our methods have higher throughput than other methods.
Starting Page	1324
Ending Page	1331
File Size	506315
Page Count	8
File Format	PDF
ISBN	9780769550961
DOI	10.1109/CSE.2013.196
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-12-03
Publisher Place	Australia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	DSPA Radiation detectors Dynamic scheduling Virtual machining Real-Time DSPS QoS PE Prototypes Digital signal processing Real-time systems Delays Hot-Spot
Content Type	Text
Resource Type	Article

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