The reactor software design pattern is an event handling strategy that can respond to many potential service requests concurrently. The pattern's key component is an event loop, running in a single thread or process, which demultiplexes incoming requests and dispatches them to the correct request handler.[1]
By relying on event-based mechanisms rather than blocking I/O or multi-threading, a reactor can handle many concurrent I/O bound requests with minimal delay.[2]
A reactor also allows for easily modifying or expanding specific request handler routines, though the pattern does have some drawbacks and limitations.[1]
With its balance of simplicity and scalability, the reactor has become a central architectural element in several server applications and software frameworks for networking. Derivations such as the multireactor and proactor also exist for special cases where even greater throughput, performance, or request complexity are necessary.[1][2][3][4]
^ abcSchmidt, Douglas C. (1995). "Chapter 29: Reactor: An Object Behavioral Pattern for Demultiplexing and Dispatching Handles for Synchronous Events" (PDF). In Coplien, James O. (ed.). Pattern Languages of Program Design. Vol. 1 (1st ed.). Addison-Wesley. ISBN 9780201607345.
^ abDevresse, Adrien (20 June 2014). "Efficient parallel I/O on multi-core architectures" (PDF). 2nd Thematic CERN School of Computing. CERN. Archived (PDF) from the original on 8 August 2022. Retrieved 14 September 2023.
^Escoffier, Clement; Finnegan, Ken (November 2021). "Chapter 4. Design Principles of Reactive Systems". Reactive Systems in Java. O'Reilly Media. ISBN 9781492091721.
^Garrett, Owen (10 June 2015). "Inside NGINX: How We Designed for Performance & Scale". NGINX. F5, Inc. Archived from the original on 20 August 2023. Retrieved 10 September 2023.
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