Exploiting Schema Information for Efficient Streaming Queries

摘要

There is a growing interest in efficiently processing concurrent queries on streaming sensor data. Much of the research focuses on processing concurrent queries for efficient filtering of XML streams or on translating raw sensor data into a standard format such as XML. Here we present liveSensor, an approach to efficiently processing concurrent Xpath queries on raw streaming sensor data by exploiting schema information. We leverage on schema information to create a compact structure to represent both queries and query answers. A mapping description between the input stream and the schema allow us to generate parsers to process queries directly on raw sensor streams, bypassing XML conversion and parsing processes.