Event Stream Processing

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Event Stream Processing, or ESP, is a set of technologies designed to assist the construction of event-driven information systems. ESP technologies include event visualization, event databases, event-driven middleware, and event processing languages, or complex event processing (CEP). ESP deals with the task of processing multiple streams of event data with the goal of identifying the meaningful events within those streams, employing techniques such as detection of complex patterns of many events, event correlation and abstraction, event hierarchies, and relationships between events such as causality, membership, and timing, and event-driven processes.

ESP enables applications such as algorithmic trading in financial services, RFID event processing applications, fraud detection, process monitoring, and location-based services in telecommunications.

1 Example
2 See also
3 References
4 External links

[edit] Example

This example of an EPL (Event Processing Language) modelled on SQL illustrates how such a language may be used to perform complex event processing. This code fragment detects weddings among a flow of external "events" such as church bells ringing, the appearance of a man in a tuxedo or morning suit, a girl in a flowing white gown and rice flying through the air. A "complex" or "composite" event is what one infers from the individual simple events: a wedding is happening.

WHEN Person. Gender EQUALS “man” AND Person. Clothes EQUALS “tuxedo”
FOLLOWED-BY
  Person. Clothes EQUALS “gown” AND
  Church_Bell OR
  Rice_Flying
WITHIN 2 hours
ACTION Wedding

[edit] See also

Complex Event Processing (CEP) A related technology for building and managing event-driven information systems.
Real-time computing ESP systems are typically real-time systems
RFID Radio Frequency Identification, or RFID, requires ESP
SCADA Supervisory Control And Data Acquisition, a similar technology used in engineering applications
High frequency computing