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 …

Stream Processing (SP) has evolved as the leading paradigm to process and gain value
from the high volume of streaming data produced, eg, in the domain of the Internet of Things …

The concept of event processing is established as a generic computational paradigm in
various application fields. Events report on state changes of a system and its environment …

Pattern queries are widely used in complex event processing (CEP) systems. Existing
pattern matching techniques, however, can provide only limited performance for expensive …

Event processing (EP) is a data processing technology that conducts online processing of
event information. In this survey, we summarize the latest cutting-edge work done on EP …

We present a system for online monitoring of maritime activity over streaming positions from
numerous vessels sailing at sea. The system employs an online tracking module for …

In the last few years a new research area, called stream reasoning, emerged to bridge the
gap between reasoning and stream processing. While current reasoning approaches are …

Systems for symbolic event recognition accept as input a stream of time-stamped events
from sensors and other computational devices, and seek to identify high-level composite …

Several application domains involve detecting complex situations and reacting to them. This
asks for a Complex Event Processing (CEP) middleware specifically designed to timely …

It is a well-known problem that intrusion detection systems overload their human operators
by triggering thousands of alarms per day. As a matter of fact, IBM Research's Zurich …