Sensors in smart-item environments capture data about product conditions and usage to
support business decisions as well as production automation processes. A challenging …

In recent years the processing of continuous queries over potentially infinite data streams
has attracted a lot of research attention. We observed that the majority of work addresses …

This paper presents the scalable on-line execution (SOLE) algorithm for continuous and on-
line evaluation of concurrent continuous spatio-temporal queries over data streams …

Discrete event simulation (DES) application is not as widely perceived as being useful for
problem solving in the health‐care arena as in other application areas. Suggests that this …

Increasing monitoring of transactions, environmental parameters, homeland security, RFID
chips and interactions of online users rapidly establishes new data sources and application …

Abstract Complex Event Processing (CEP) denotes algorithmic methods for making sense of
events by deriving higher-level knowledge, or complex events, from lower-level events in a …

Despite the surge of research in continuous stream processing, there is still a semantic gap.
In many cases, continuous queries are formulated in an enriched SQL-like query language …

A variety of real-world applications heavily relies on an adequate analysis of transient data
streams. Due to the rigid processing requirements of data streams, common analysis …

Data Stream Management Systems (DSMS) have been proposed to address the challenges
of applications which produce continuous, rapid streams of data that have to be processed …

As data stream management systems (DSMSs) become more and more popular, there is an
increasing need to protect such systems from adversaries. In this paper we present an …