DocumentCode :
2498651
Title :
Performance Analysis of Y-Tree on Flash Drives
Author :
Boonyawat, Narong ; Natwichai, Juggapong
Author_Institution :
Comput. Eng. Dept., Chiang Mai Univ., Chiang Mai, Thailand
fYear :
2010
fDate :
23-25 April 2010
Firstpage :
472
Lastpage :
476
Abstract :
Data warehousing is one of the most important fundamental components of business intelligence. One approach to improve a data warehouse is indexing. Y-tree is a type of index which is designed to facilitate one of the most critical data warehousing functionalities, i.e. data insertion. Y-trees support bulk insertion efficiently and also can provide the query performance as efficient as traditional value-list indexes. In this paper, we propose a theoretical study on the performance of the Y-tree indexes when implemented on flash drives. Our work will cover two main functionalities of Y-trees on flash drives, i.e. insertion and query performance. Given that flash drives are emerging as the main storage of the server-class computers, and their price per size are getting lower. The analysis of the performance in this paper can help to estimate the performance in practices. Also, the result can help practitioners to optimize Y-tree according to the given environment.
Keywords :
competitive intelligence; data warehouses; flash memories; performance evaluation; tree data structures; Y-tree performance analysis; bulk insertion; business intelligence; data insertion; data warehousing; flash drives; query performance insertion; server class computers; value list indexes; Bismuth; Computer networks; Costs; Data engineering; Data warehouses; Drives; Indexing; Intelligent networks; Performance analysis; Warehousing; Y-tree; flash drives; indexing; performance;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer and Network Technology (ICCNT), 2010 Second International Conference on
Conference_Location :
Bangkok
Print_ISBN :
978-0-7695-4042-9
Electronic_ISBN :
978-1-4244-6962-8
Type :
conf
DOI :
10.1109/ICCNT.2010.126
Filename :
5474454
Link To Document :
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