A large number of distributed applications requires continuous and timely processing of
information as it flows from the periphery to the center of the system. Examples include …

In this overview paper we motivate the need for and research issues arising from a new
model of data processing. In this model, data does not take the form of persistent relations …

CQL, a continuous query language, is supported by the STREAM prototype data stream
management system (DSMS) at Stanford. CQL is an expressive SQL-based declarative …

We discuss the design of an acquisitional query processor for data collection in sensor
networks. Acquisitional issues are those that pertain to where, when, and how often data is …

Traditional databases store sets of relatively static records with no pre-defined notion of time,
unless timestamp attributes are explicitly added. While this model adequately represents …

Continuous queries are persistent queries that allow users to receive new results when they
become available. While continuous query systems can transform a passive web into an …

In many recent applications, data may take the form of continuous data streams, rather than
finite stored data sets. Several aspects of data management need to be reconsidered in the …

We discuss the design of an acquisitional query processor for data collection in sensor
networks. Acquisitional issues are those that pertain to where, when, and how often data is …

We present a continuously adaptive, continuous query (CACQ) implementation based on
the eddy query processing framework. We show that our design provides significant …

Abstract Information Dissemination applications are gaining increasing popularity due to
dramatic improvements in communications bandwidth and ubiquity. The sheer volume of …