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Load Balancing Algorithm of Stream Data Based on Correlation Analysis

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Abstract:

With the development of stream processing technology, achieving load balance of resource accessing becomes one of key problems. However, the existing technologies are difficult to balance the system and maintain the data integrity requirements when large data stream arrive. In this paper, combined with the dynamic load balancing algorithm, we propose a load balancing algorithm of stream data based on correlation analysis (SDCA-LBA). The algorithm analyses correlation of stream data through the window feature statistics. On the basis of ensuring the load balancing of the stream data system, we consider the data correlation. The experiment results show that this method can effectively solve the problem of stream data load balancing, maintain the data integrity, and improve the system data processing capabilities.

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Info:

Periodical:

Applied Mechanics and Materials (Volumes 543-547)

Pages:

2594-2599

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.543-547.2594

Citation:

Cite this paper

Online since:

March 2014

Authors:

Yong Gui Zou*, Yuan Lei Tang, Ying Xia

Keywords:

Correlation Analysis, Data Integrity, Load Balancing, Stream Data

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$46.00

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Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

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* - Corresponding Author

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