Complex Event Processing, or CEP, is an event processing technique that analyzes multiple events with the goal of identifying meaningful complex events within an event cloud. CEP employs techniques such as detection of complex patterns of many events, event correlation and abstraction, computable event hierarchies, and event relationships such as causality, membership, timing, and event sequenc...

Complex Event Processing (CEP) has emerged as a relevant new field of software engineering and computer science. Many of the current approaches to CEP are declarative and based on rules, and often on logic-programming-like languages and semantics. Some work on CEP is situated within the field of logical agents. Usually, event processing is based upon Event-Condition-Action rules, which are howe...

Proactive Event-Driven Computing is a new paradigm, in which a decision is not made due to explicit users' requests nor is it made as a response to past events. Rather, the decision is autonomously triggered by forecasting future states. Proactive event-driven computing requires a departure from current event-driven architectures to ones capable of handling uncertainty and future events, and re...

Event-driven architectures (EDA) have been proposed as a new architectural paradigm for event-based systems to process complex event streams. However, EDA have not yet reached the maturity of wellestablished software architectures because methodologies, models and standards are still missing. Despite the fact that EDA-based systems are essentially built on events, there is a lack of a general e...

Complex event detection is an advanced form of data stream processing where the stream(s) are scrutinized to identify given event patterns. The challenge for many complex event processing (CEP) systems is to be able to evaluate event patterns on high-volume data streams while adhering to realtime constraints. To solve this problem, in this paper we present a hardware based complex event detecti...

Complex Event Processing – the identification of event patterns in event streams, the analysis of their impact, and the execution of corresponding actions – is gaining momentum within various research disciplines and business areas. However, one of the major problems associated with Complex Event Processing is its lack of usability, especially the complexity of its management, preventing its wi...