Optimizations enabled by a relational data model view to querying data streams
Beth Plale, Karsten Schwan · 2002
We postulate that the popularity and efficiency of SQL for querying relational databases makes the language a viable solution to retrieving data from data streams. In response, we have developed a system, dQUOB, that uses SQL queries to extract data from streaming data in real time. The high performance needs of applications such as scientific visualization motivates our search for optimizations to improve query evaluation efficiency. The purpose of this paper is to discuss the unique optimizations we have realized by a database point of view to streaming data and to show that the enhanced conceptual model of viewing data streams as relations has reasonable overhead.