Fractal Based Management of Heterogeneous Data Streams
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.