Abstract: The present invention relates to a processing method of data stream using Border Monitoring Query, and more particularly a monitoring method and a system for data streams which are a large volume of data and continuously generated such as financial ticker, GPS data or a ubiquitous sensor network (USN). The objectives of the present invention are to process a large number of BMQs over data streams in high-performance and scalable manner. For this purpose, the invention presents BMQ-Index, a scalable and high performance data stream monitoring framework. The main idea of BMQ-Index is shared and incremental processing. For shared processing, BMQ-Index adopts a query indexing approach, thereby achieving a high level of scalability. Once BMQ-Index is built on registered queries, only relevant queries are quickly searched for upon an incoming data. For incremental processing, BMQ-Index employs an incremental access method, i.e.

Abstract: The present invention relates to a processing method of data stream using Border Monitoring Query, and more particularly a monitoring method and a system for data streams which are a large volume of data and continuously generated such as financial ticker, GPS data or a ubiquitous sensor network (USN). The objectives of the present invention are to process a large number of BMQs over data streams in high-performance and scalable manner. For this purpose, the invention presents BMQ-Index, a scalable and high performance data stream monitoring framework. The main idea of BMQ-Index is shared and incremental processing. For shared processing, BMQ-Index adopts a query indexing approach, thereby achieving a high level of scalability. Once BMQ-Index is built on registered queries, only relevant queries are quickly searched for upon an incoming data. For incremental processing, BMQ-Index employs an incremental access method, i.e.