DocumentCode :
3459325
Title :
A Structure for Sliding Window Equijoins in Data Stream Processing
Author :
Hyeon Gyu Kim
Author_Institution :
Div. of Comput., Sahmyook Univ., Seoul, South Korea
fYear :
2013
fDate :
3-5 Dec. 2013
Firstpage :
100
Lastpage :
103
Abstract :
Sliding window equijoins are commonly used in data stream applications. In their implementation, a hash table is generally allocated for each stream source. However, this structure may degrade join performance because all tuples in the hash tables need to be scanned to find expired tuples whenever windows are updated periodically. This paper presents an alternative structure to improve the performance of sliding window equijoins. The basic idea of the proposed method is to allocate a hash table for each set of tuples arriving for a window slide interval. This organization facilitates the identification of expired tuples and improves the join performance, which we observed through our experimental results.
Keywords :
data mining; file organisation; data stream processing; expired tuples identification; hash table allocation; sliding window equijoins; stream source; window slide interval; Aggregates; Databases; Organizations; Probes; Semantics; Silicon; XML; Sliding windows; data streams; symmetric hash joins; window joins; windowing structure;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Science and Engineering (CSE), 2013 IEEE 16th International Conference on
Conference_Location :
Sydney, NSW
Type :
conf
DOI :
10.1109/CSE.2013.25
Filename :
6755203
Link To Document :
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