Publication

Event Systems : How to Have Your Cake and Eat It Too

Rachid Guerraoui
2002
Reports

Abstract

This paper addresses the fundamental tradeoffs in event systems between scalability (of event filtering, routing, and delivery mechanisms), expressiveness (when describing interests in events), and event safety (ensuring encapsulation and type-safe interaction with polymorphic events). We point out some ramifications underlying these tradeoffs and we propose a pragmatic approach to handle them. We achieve scalability using a multi-stage filtering strategy that combines approximate and perfect matching techniques for the purpose of event routing and filtering. We achieve expressiveness and event safety by viewing events as objects; instances of application-defined abstract types.

Official source

https://infoscience.epfl.ch/entities/publication/5b6e8795-7477-49c6-9dd4-3ae7b0439a7d

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Rachid Guerraoui
2002
Reports

Abstract

Official source

https://infoscience.epfl.ch/entities/publication/5b6e8795-7477-49c6-9dd4-3ae7b0439a7d

About this result

Related concepts (22)

Event correlation

Event correlation is a technique for making sense of a large number of events and pinpointing the few events that are really important in that mass of information. This is accomplished by looking for and analyzing relationships between events. Event correlation has been used in various fields for many years: since the 1970s, telecommunications and industrial process control; since the 1980s, network management and systems management; since the 1990s, IT service management, publish-subscribe systems (pub/sub), Complex Event Processing (CEP) and Security Information and Event Management (SIEM); since the early 2000s, Distributed Event-Based Systems and Business Activity Monitoring (BAM).

Event (computing)

In programming and software design, an event is an action or occurrence recognized by software, often originating asynchronously from the external environment, that may be handled by the software. Computer events can be generated or triggered by the system, by the user, or in other ways. Typically, events are handled synchronously with the program flow; that is, the software may have one or more dedicated places where events are handled, frequently an event loop.

Complex event processing

Event processing is a method of tracking and analyzing (processing) streams of information (data) about things that happen (events), and deriving a conclusion from them. Complex event processing (CEP) consists of a set of concepts and techniques developed in the early 1990s for processing real-time events and extracting information from event streams as they arrive. The goal of complex event processing is to identify meaningful events (such as opportunities or threats) in real-time situations and respond to them as quickly as possible.