NDLI: A Cached-based approach to enrich Stream data with master data

Content Provider	IEEE Xplore Digital Library
Author	Naeem, M.A. Bajwa, I.S. Jamil, N.
Copyright Year	2015
Description	Author affiliation: Dept. of CS & IT, Islamia Univ. of Bahawalpur, Bahawalpur, Pakistan (Bajwa, I.S.) \|\| Sch. of Comput. & Math. Sci., Auckland Univ. of Technol., Auckland, New Zealand (Naeem, M.A.) \|\| Dept. of Comput. Sci., Auckland Univ. of Technol., Auckland, New Zealand (Jamil, N.)
Abstract	An enriching of stream data with disk-based master data is common in many applications. Real-time data warehousing is one of these applications where stream data is customers transactions producing by operational data source(s). This stream data needs to enrich by disk-based master data before loading this into the data warehouse. To implement this enrichment operation a join operator is required. Normally we call it semi-stream join as it is performed between stream data and disk data. The join operator typically works under limited main memory and this memory is generally not large enough to hold the whole disk-based master data. Therefore, the relation is loaded into memory in partitions. A well-known join algorithm called MESHJOIN (Mesh Join) has been presented in the literature to implement the semi-stream join operation. However, the algorithm suffers with some limitations. In particular, the algorithm can be improved based on the characteristics of stream data e.g. skew in stream data. In this paper we address this issue by presenting a novel algorithm called Cached-based Stream-Disk Join (CSDJ). The algorithm exploits skew characteristic in stream data more appropriately and over performs existing MESHJOIN. We present results for Zip-fian distributions of the type that appear in many applications. We evaluate our algorithm using synthetic, TPC-H and real datasets. Our experiments show that CSDJ performs significantly better than MESHJOIN.
Starting Page	57
Ending Page	62
File Size	738933
Page Count	6
File Format	PDF
e-ISBN	9781467391528
DOI	10.1109/ICDIM.2015.7381874
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-10-21
Publisher Place	South Korea
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Data enrichment Real-time data warehousing Performance optimization Hardware Semi-stream join
Content Type	Text
Resource Type	Article

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