Continuous query processing in spatio-temporal databases

• Authors: Mohamed F. Mokbel
• Venue: EDBT'04 Proceedings of the 2004 international conference on Current Trends in Database Technology
• Year: 2004

In this paper, we aim to develop a framework for continuous query processing in spatio-temporal databases The proposed framework distinguishes itself from other query processors by employing two main paradigms: (1) Scalability in terms of the number of concurrent continuous spatio-temporal queries (2) Incremental evaluation of continuous spatio-temporal queries Scalability is achieved thorough employing a shared execution paradigm Incremental evaluation is achieved through computing only the updates to the previously reported answer We distinguish between two types of updates; positive updates and negative updates Positive or negative updates indicate that a certain object should be added to or removed from the previously reported answer, respectively The proposed framework is applicable to a wide variety of continuous spatio-temporal queries where we do not have any constraints about the mutability of objects and queries (i.e., both objects and queries can be either stationary or moving) or the movement representation (i.e., movement can be represented either by sampling or trajectory).