期刊名称：International Journal of Computer Science and Information Technologies
电子版ISSN：0975-9646
出版年度：2012
卷号：3
期号：4
页码：4689-4691
出版社：TechScience Publications
摘要：Efficient handling of huge amount of data stream is become mandatory in various domains such as business, finance, sensor networks etc. Come through these data streams poses challenges those are distinct from those addressed by orthodox database management systems. The enormous increase of Sensor Networks, GPS enabled devices and RFIDs results in highly impulsive environments where objects as well as queries are continuously moving. This paper presents a continuous query processing designed specifically for highly dynamic environments. This paper presents a data stream indexing system that satisfies the requirements in evolving data streams. This paper applying the fractal based indexing scheme that enable the system for fast indexing and querying. This paper also address the issue of memory based and disk based fractal management to support skew distributions of data streams.
关键词：Data stream; Indexing;Querying; Self similarity;Fractal Dimension;Fractal Tree
