Title :
Practical Online Network Stack Evolution
Author :
Imai, Pierre ; Tschudin, Christian
Author_Institution :
Comput. Sci. Dept., Univ. of Basel, Basel, Switzerland
Abstract :
Protocol stacks can optimize their performance well for pre-defined environments and are usually hand-engineered in advance: This means that adding new protocols or drastically changing the run-time system or assumed traffic patterns would require re-engineering. As an alternative we present an autonomous stack composition framework inspired by biological evolution: Compositions compete online and new compositions evolve from the best previous performers. We demonstrate the feasibility of our runtime adaptive approach and show through simulations that it can find efficient solutions where offline approaches fail.
Keywords :
Internet; telecommunication traffic; transport protocols; biological evolution; flexible autonomous network stack composition framework; online network stack evolution; protocol stack; runtime adaptive approach; traffic pattern; Bioinformatics; Connectors; Engines; Evolution (biology); Genomics; Protocols; Steering systems; Protocol stack composition; autonomic network; knowledge plane; network architecture; network evolution; runtime protocol switching; self-evaluation; self-optimization;
Conference_Titel :
Self-Adaptive and Self-Organizing Systems Workshop (SASOW), 2010 Fourth IEEE International Conference on
Conference_Location :
Budapest
Print_ISBN :
978-1-4244-8684-7
Electronic_ISBN :
978-0-7695-4229-4
DOI :
10.1109/SASOW.2010.11
